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					coupled_cpl extractionPatterns(academicField, biology courses , including
_ 0.2857142767129624) 0.2857142767129624
coupled_cpl extractionPatterns(academicField, course description , see _
0.17460325380199865)   0.17460325380199865
coupled_cpl extractionPatterns(academicField, degree educated in _
0.250000090279989)     0.250000090279989
coupled_cpl extractionPatterns(academicField, departmental code for _
0.250000090279989)     0.250000090279989
coupled_cpl extractionPatterns(academicField, Disciplines covered include
_ 0.18750008129470605) 0.18750008129470605
coupled_cpl extractionPatterns(academicField, disciplines involved are _
0.29999994129778657)   0.29999994129778657
coupled_cpl extractionPatterns(academicField, D-years graduate with _
0.42857136873737717)   0.42857136873737717
coupled_cpl extractionPatterns(academicField, equivalent research
experience in _ 0.250000090279989) 0.250000090279989
coupled_cpl extractionPatterns(academicField, favourite subject is _
0.1298701725791808)    0.1298701725791808
coupled_cpl extractionPatterns(academicField, field-of-research drop-down
list with _ 0.32258068112616345) 0.32258068112616345
coupled_cpl extractionPatterns(academicField, first class degree in _
0.1555556085556767)    0.1555556085556767
coupled_cpl extractionPatterns(academicField, First-year level courses in
_ 1.5714283769752078) 1.5714283769752078
coupled_cpl extractionPatterns(academicField, fourth-year student
majoring in _ 0.5000000902799808) 0.5000000902799808
coupled_cpl extractionPatterns(academicField, general distribution
requirement in _ 0.2777777348505767)     0.2777777348505767
coupled_cpl extractionPatterns(academicField, good first degree in _
0.2023810444212192)    0.2023810444212192
coupled_cpl extractionPatterns(academicField, good honours degree in _
0.17204297133995716)   0.17204297133995716
coupled_cpl extractionPatterns(academicField, good passes in _
0.22222231039474505)   0.22222231039474505
coupled_cpl extractionPatterns(academicField, good undergraduate degree
in _ 0.27586214849839436)    0.27586214849839436
coupled_cpl extractionPatterns(academicField, graduate degrees are in _
0.18181819858880538)   0.18181819858880538
coupled_cpl extractionPatterns(academicField, graduating senior majoring
in _ 0.1851851765870796)     0.1851851765870796
coupled_cpl extractionPatterns(academicField, honors work in _
0.14285716415076063)   0.14285716415076063
coupled_cpl extractionPatterns(academicField, honours level in _
0.16666674487136082)   0.16666674487136082
coupled_cpl extractionPatterns(academicField, interdisciplinary
undergraduate program in _ 0.5000000902799808)       0.5000000902799808
coupled_cpl extractionPatterns(academicField, _ is an interdisciplinary
discipline 0.2857142767129624)     0.2857142767129624
coupled_cpl extractionPatterns(academicField, _ is a physical science
0.17647059800966608)   0.17647059800966608
coupled_cpl extractionPatterns(academicField, _ is a science subject
0.19999998248682085)   0.19999998248682085
coupled_cpl extractionPatterns(academicField, _ is a social science
0.2846152530694169)    0.2846152530694169
coupled_cpl extractionPatterns(academicField, _ is the only science
0.22222231039474505)   0.22222231039474505
coupled_cpl extractionPatterns(academicField, _ is the scientific study
0.14877591964824782)   0.14877591964824782
coupled_cpl extractionPatterns(academicField, _ is the systematic study
0.24460441647120051)   0.24460441647120051
coupled_cpl extractionPatterns(academicField, journals , including many
in _ 0.250000090279989)      0.250000090279989
coupled_cpl extractionPatterns(academicField, major subfields of _
0.22222231039474505)   0.22222231039474505
coupled_cpl extractionPatterns(academicField, many departments , such as
_ 0.16666674487136082) 0.16666674487136082
coupled_cpl extractionPatterns(academicField, minor teaching field of _
0.27586214849839436)   0.27586214849839436
coupled_cpl extractionPatterns(academicField, other honors credit in _
0.1851851765870796)    0.1851851765870796
coupled_cpl extractionPatterns(academicField, other sub-disciplines
within _ 0.16666674487136082)      0.16666674487136082
coupled_cpl extractionPatterns(academicField, other subfields of _
0.23333338760826947)   0.23333338760826947
coupled_cpl extractionPatterns(academicField, research started as _
0.37500009487940933)   0.37500009487940933
coupled_cpl extractionPatterns(academicField, science disciplines such as
_ 0.1851851765870796) 0.1851851765870796
coupled_cpl extractionPatterns(academicField, second honours degree in _
0.37500009487940933)   0.37500009487940933
coupled_cpl extractionPatterns(academicField, second-year courses in _
0.19999998248682085)   0.19999998248682085
coupled_cpl extractionPatterns(academicField, Second-year level courses
in _ 0.1851851765870796)     0.1851851765870796
coupled_cpl extractionPatterns(academicField, subject test in _
0.21538460252192804)   0.21538460252192804
coupled_cpl extractionPatterns(academicField, summer research
opportunities in _ 0.19999998248682085) 0.19999998248682085
coupled_cpl extractionPatterns(academicField, third year courses in _
0.3999998927496764)    0.3999998927496764
coupled_cpl extractionPatterns(academicField, Third-year level courses in
_ 0.1851851765870796) 0.1851851765870796
coupled_cpl extractionPatterns(academicField, Undergraduate course in _
0.23809512506891317)   0.23809512506891317
coupled_cpl extractionPatterns(academicField, upper second class degree
in _ 0.20689662636382428)    0.20689662636382428
coupled_cpl extractionPatterns(academicField, _ visit the Prospects
website 0.16666674487136082) 0.16666674487136082
coupled_cpl extractionPatterns(academicField, _ was a particular interest
0.250000090279989)     0.250000090279989
coupled_cpl extractionPatterns(acquired, arg1 agreed to acquire arg2
0.018518519380819918) 0.018518519380819918
coupled_cpl extractionPatterns(acquired, arg1 agreed to buy arg2
0.012658225980595343) 0.012658225980595343
coupled_cpl extractionPatterns(acquired, arg1 agreed to purchase arg2
0.011406841180718871) 0.011406841180718871
coupled_cpl extractionPatterns(acquired, arg1 agrees to buy arg2
0.018518519380819918) 0.018518519380819918
coupled_cpl extractionPatterns(acquired, arg1 and its subsidiary arg2
0.010330578453331936) 0.010330578453331936
coupled_cpl extractionPatterns(acquired, arg1 announced it was buying
arg2 0.018518519380819918)   0.018518519380819918
coupled_cpl extractionPatterns(acquired, arg1 announced plans to buy arg2
0.00392156684375894)   0.00392156684375894
coupled_cpl extractionPatterns(acquired, arg1 announced the acquisition
of arg2 0.019230763818874366)      0.019230763818874366
coupled_cpl extractionPatterns(acquired, arg1 aquired arg2
0.013513514773029384) 0.013513514773029384
coupled_cpl extractionPatterns(acquired, arg1 bought arg2
0.0017652446258242715) 0.0017652446258242715
coupled_cpl extractionPatterns(acquired, arg1 bought out arg2
0.006915631464209631) 0.006915631464209631
coupled_cpl extractionPatterns(acquired, arg1 completed its acquisition
of arg2 0.018518519380819918)      0.018518519380819918
coupled_cpl extractionPatterns(acquired, arg1 for each share of arg2
0.012820510598584696) 0.012820510598584696
coupled_cpl extractionPatterns(acquired, arg1 gobbled up arg2
0.012658225980595343) 0.012658225980595343
coupled_cpl extractionPatterns(acquired, arg1 gobbles up arg2
0.012820510598584696) 0.012820510598584696
coupled_cpl extractionPatterns(acquired, arg1 has bought arg2
0.005286346047687512) 0.005286346047687512
coupled_cpl extractionPatterns(acquired, arg1 in its purchase of arg2
0.019230763818874366) 0.019230763818874366
coupled_cpl extractionPatterns(acquired, arg1 needs to let arg2
0.012820510598584696) 0.012820510598584696
coupled_cpl extractionPatterns(acquired, arg1 now owns arg2
0.011764708899886466) 0.011764708899886466
coupled_cpl extractionPatterns(acquired, arg1 overpaid for arg2
0.008658004588415225) 0.008658004588415225
coupled_cpl extractionPatterns(acquired, arg1 owns arg2
0.0027513928627053603) 0.0027513928627053603
coupled_cpl extractionPatterns(acquired, arg1 plans to acquire arg2
0.008658004588415225) 0.008658004588415225
coupled_cpl extractionPatterns(acquired, arg1 plans to keep arg2
0.00392156684375894)   0.00392156684375894
coupled_cpl extractionPatterns(acquired, arg1 recently acquired arg2
0.009596930223793425) 0.009596930223793425
coupled_cpl extractionPatterns(acquired, arg1 recently bought arg2
0.010344823803232518) 0.010344823803232518
coupled_cpl extractionPatterns(acquired, arg1 should sell arg2
0.01648352305069392)   0.01648352305069392
coupled_cpl extractionPatterns(acquired, arg1 subsidiary arg2
0.007633590253444304) 0.007633590253444304
coupled_cpl extractionPatterns(acquired, arg1 swallowed up arg2
0.008658004588415225) 0.008658004588415225
coupled_cpl extractionPatterns(acquired, arg1 to have bought arg2
0.008658004588415225) 0.008658004588415225
coupled_cpl extractionPatterns(acquired, arg1 was going to buy arg2
0.020547952048772924) 0.020547952048772924
coupled_cpl extractionPatterns(acquired, arg1 when it acquired arg2
0.018633541794714714) 0.018633541794714714
coupled_cpl extractionPatterns(acquired, arg1 when it purchased arg2
0.004819278745401499) 0.004819278745401499
coupled_cpl extractionPatterns(acquired, arg2 acquisition by arg1
0.00784314011449841)   0.00784314011449841
coupled_cpl extractionPatterns(acquired, arg2 and acquired by arg1
0.008658004588415225) 0.008658004588415225
coupled_cpl extractionPatterns(acquired, arg2 and its parent company arg1
0.01898733691820677)   0.01898733691820677
coupled_cpl extractionPatterns(acquired, arg2 becoming part of arg1
0.01185770988212763)   0.01185770988212763
coupled_cpl extractionPatterns(acquired, arg2 before it was purchased by
arg1 0.004819278745401499)   0.004819278745401499
coupled_cpl extractionPatterns(acquired, arg2 being acquired by arg1
0.01185770988212763)   0.01185770988212763
coupled_cpl extractionPatterns(acquired, arg2 being purchased by arg1
0.007228917336597219) 0.007228917336597219
coupled_cpl extractionPatterns(acquired, arg2 has been acquired by arg1
0.00936767823989503)   0.00936767823989503
coupled_cpl extractionPatterns(acquired, arg2 has been bought by arg1
0.018404906358380185) 0.018404906358380185
coupled_cpl extractionPatterns(acquired, arg2 has been purchased by arg1
0.004819278745401499) 0.004819278745401499
coupled_cpl extractionPatterns(acquired, arg2 is now owned by arg1
0.0018518521102932034) 0.0018518521102932034
coupled_cpl extractionPatterns(acquired, arg2 later merged with arg1
0.011406841180718871) 0.011406841180718871
coupled_cpl extractionPatterns(acquired, arg2 was acquired by arg1
0.0018894660557675544) 0.0018894660557675544
coupled_cpl extractionPatterns(acquired, arg2 was bought by arg1
0.0024950088567134636) 0.0024950088567134636
coupled_cpl extractionPatterns(acquired, arg2 was bought out by arg1
0.018518519380819918) 0.018518519380819918
coupled_cpl extractionPatterns(acquired, arg2 was recently purchased by
arg1 0.020134228535785566)   0.020134228535785566
coupled_cpl extractionPatterns(acquired, arg2 was subsequently acquired
by arg1 0.01185770988212763) 0.01185770988212763
coupled_cpl extractionPatterns(acquired, arg2 which is owned by arg1
0.01583113038291936)   0.01583113038291936
coupled_cpl extractionPatterns(actor, action thriller starring _
0.2777777348505767)    0.2777777348505767
coupled_cpl extractionPatterns(actor, adaptation starring _
0.23809512506891317)   0.23809512506891317
coupled_cpl extractionPatterns(actor, all-star cast includes _
0.2727272683991621)    0.2727272683991621
coupled_cpl extractionPatterns(actor, all-star cast including _
0.24509803637648786)   0.24509803637648786
coupled_cpl extractionPatterns(actor, alumni such as _
0.26250005169950047)   0.26250005169950047
coupled_cpl extractionPatterns(actor, book , starring _
0.250000090279989)     0.250000090279989
coupled_cpl extractionPatterns(actor, boss played by _
0.2777777348505767)    0.2777777348505767
coupled_cpl extractionPatterns(actor, character made famous by _
0.250000090279989)     0.250000090279989
coupled_cpl extractionPatterns(actor, classic film starring _
0.31578931892794915)    0.31578931892794915
coupled_cpl extractionPatterns(actor, comedy film starring _
0.2727272683991621)     0.2727272683991621
coupled_cpl extractionPatterns(actor, crime thriller starring _
0.2777777348505767)     0.2777777348505767
coupled_cpl extractionPatterns(actor, documentary , narrated by _
0.2727272683991621)     0.2727272683991621
coupled_cpl extractionPatterns(actor, ensemble cast including _
0.23809512506891317)    0.23809512506891317
coupled_cpl extractionPatterns(actor, exclusive biography of _
0.3636363315194487)     0.3636363315194487
coupled_cpl extractionPatterns(actor, favorite actor is _
0.06818184172160531)    0.06818184172160531
coupled_cpl extractionPatterns(actor, favorite actress is _
0.08163264791761125)    0.08163264791761125
coupled_cpl extractionPatterns(actor, favourite actor is _
0.2592591858756811)     0.2592591858756811
coupled_cpl extractionPatterns(actor, featured star is _
0.30555545339543744)    0.30555545339543744
coupled_cpl extractionPatterns(actor, film , co-starring _
0.3999998927496764)     0.3999998927496764
coupled_cpl extractionPatterns(actor, film version , starring _
0.31578931892794915)    0.31578931892794915
coupled_cpl extractionPatterns(actor, _ gives an astonishing performance
0.30769230656666036)    0.30769230656666036
coupled_cpl extractionPatterns(actor, _ gives another great performance
0.30769230656666036)    0.30769230656666036
coupled_cpl extractionPatterns(actor, _ gives an unforgettable
performance 0.22727262293734563) 0.22727262293734563
coupled_cpl extractionPatterns(actor, Glory starring _ 0.250000090279989)
      0.250000090279989
coupled_cpl extractionPatterns(actor, good acting by _
0.29629639239245803)    0.29629639239245803
coupled_cpl extractionPatterns(actor, _ has baby girl 0.2727272683991621)
      0.2727272683991621
coupled_cpl extractionPatterns(actor, hit movie starring _
0.3999998927496764)     0.3999998927496764
coupled_cpl extractionPatterns(actor, _ is a favorite actor
0.30769230656666036)    0.30769230656666036
coupled_cpl extractionPatterns(actor, _ is an outstanding actor
0.22727262293734563)    0.22727262293734563
coupled_cpl extractionPatterns(actor, _ is preggers 0.09589043896783345)
      0.09589043896783345
coupled_cpl extractionPatterns(actor, lawyer played by _
0.29999994129778657)    0.29999994129778657
coupled_cpl extractionPatterns(actor, life starring _
0.29629639239245803)    0.29629639239245803
coupled_cpl extractionPatterns(actor, main character played by _
0.29629639239245803)    0.29629639239245803
coupled_cpl extractionPatterns(actor, Man starring _ 0.29629639239245803)
      0.29629639239245803
coupled_cpl extractionPatterns(actor, motion picture starring _
0.23364486205460408)    0.23364486205460408
coupled_cpl extractionPatterns(actor, movie staring _
0.06172841001471406)    0.06172841001471406
coupled_cpl extractionPatterns(actor, movie star like _
0.3333334295560505)     0.3333334295560505
coupled_cpl extractionPatterns(actor, movie trailers starring _
0.3333334295560505)     0.3333334295560505
coupled_cpl extractionPatterns(actor, movie version starring _
0.294117774006532)      0.294117774006532
coupled_cpl extractionPatterns(actor, novel , starring _
0.23076924664463755)    0.23076924664463755
coupled_cpl extractionPatterns(actor, _ plays a father
0.2857142767129624)     0.2857142767129624
coupled_cpl extractionPatterns(actor, _ plays a scientist
0.2777777348505767)     0.2777777348505767
coupled_cpl extractionPatterns(actor, prostitute played by _
0.3846155557798213)     0.3846155557798213
coupled_cpl extractionPatterns(actor, remake starring _
0.10204085568128576)    0.10204085568128576
coupled_cpl extractionPatterns(actor, scientist played by _
0.3333334295560505)     0.3333334295560505
coupled_cpl extractionPatterns(actor, star cast , including _
0.3333334295560505)     0.3333334295560505
coupled_cpl extractionPatterns(actor, stars opposite _
0.24324332480466354)    0.24324332480466354
coupled_cpl extractionPatterns(actor, star wattage of _
0.2916665737103659)     0.2916665737103659
coupled_cpl extractionPatterns(actor, such actresses as _
0.29999994129778657)    0.29999994129778657
coupled_cpl extractionPatterns(actor, _ suffered a broken rib
0.2857142767129624)     0.2857142767129624
coupled_cpl extractionPatterns(animal, animals including _
0.499404944652029)      0.499404944652029
coupled_cpl extractionPatterns(animal, animals , like _
0.4702231075481552)     0.4702231075481552
coupled_cpl extractionPatterns(animal, animals other than _
0.5192743098943509)     0.5192743098943509
coupled_cpl extractionPatterns(animal, animals ranging from _
0.6525425050942721)     0.6525425050942721
coupled_cpl extractionPatterns(animal, Animals such as _
0.46732048186941055)    0.46732048186941055
coupled_cpl extractionPatterns(animal, breeds of _ 0.422974663031719)
      0.422974663031719
coupled_cpl extractionPatterns(animal, _ chirping in 0.5247522670725591)
      0.5247522670725591
coupled_cpl extractionPatterns(animal, conservation of migratory _
0.5856353223110421)     0.5856353223110421
coupled_cpl extractionPatterns(animal, control of pest _
0.7741938380417579)     0.7741938380417579
coupled_cpl extractionPatterns(animal, favorite animals are _
0.6483516889456793)     0.6483516889456793
coupled_cpl extractionPatterns(animal, flowers attract _
0.6132595642256308)     0.6132595642256308
coupled_cpl extractionPatterns(animal, habitat for migratory _
0.7021276878305981)     0.7021276878305981
coupled_cpl extractionPatterns(animal, herds of wild _
0.7231837064182447)     0.7231837064182447
coupled_cpl extractionPatterns(animal, insects like _ 0.5314814409819026)
      0.5314814409819026
coupled_cpl extractionPatterns(animal, insects , other _
0.6617648484303156)     0.6617648484303156
coupled_cpl extractionPatterns(animal, insects such as _
0.45197744537850953)    0.45197744537850953
coupled_cpl extractionPatterns(animal, insects , such as _
0.5714284502488258)     0.5714284502488258
coupled_cpl extractionPatterns(animal, invertebrates like _
0.7386360272485653)     0.7386360272485653
coupled_cpl extractionPatterns(animal, invertebrates such as _
0.4742266059037243)     0.4742266059037243
coupled_cpl extractionPatterns(animal, large herd of _
0.5328800111250495)     0.5328800111250495
coupled_cpl extractionPatterns(animal, large herds of _
0.5352839099710952)     0.5352839099710952
coupled_cpl extractionPatterns(animal, mammals including _
0.5558510034783077)     0.5558510034783077
coupled_cpl extractionPatterns(animal, mammals , including _
0.6898818002848686)     0.6898818002848686
coupled_cpl extractionPatterns(animal, mammals like _ 0.5578233186407643)
      0.5578233186407643
coupled_cpl extractionPatterns(animal, mammals such as _
0.22745496869181514)    0.22745496869181514
coupled_cpl extractionPatterns(animal, mammals , such as _
0.4589284332148987)     0.4589284332148987
coupled_cpl extractionPatterns(animal, management of migratory _
0.6779660947740903)     0.6779660947740903
coupled_cpl extractionPatterns(animal, more species of _
0.19806757869084565)    0.19806757869084565
coupled_cpl extractionPatterns(animal, mosquitoes , biting _
0.6734692103930199)     0.6734692103930199
coupled_cpl extractionPatterns(animal, number of migratory _
0.7207204083881416)     0.7207204083881416
coupled_cpl extractionPatterns(animal, other species , including _
0.5255100311892672)     0.5255100311892672
coupled_cpl extractionPatterns(animal, pets such as _ 0.3181077872555375)
      0.3181077872555375
coupled_cpl extractionPatterns(animal, pollinators such as _
0.7534248503476357)     0.7534248503476357
coupled_cpl extractionPatterns(animal, population of wild _
0.47826084236689514)    0.47826084236689514
coupled_cpl extractionPatterns(animal, predation by _ 0.458677468007172)
      0.458677468007172
coupled_cpl extractionPatterns(animal, predators include _
0.5421053086572524)     0.5421053086572524
coupled_cpl extractionPatterns(animal, predators , including _
0.5425532726258527)     0.5425532726258527
coupled_cpl extractionPatterns(animal, predators like _
0.49319729120110745)    0.49319729120110745
coupled_cpl extractionPatterns(animal, predators such as _
0.22091064069030616)    0.22091064069030616
coupled_cpl extractionPatterns(animal, predators , such as _
0.5585104219713435)    0.5585104219713435
coupled_cpl extractionPatterns(animal, Predators such as _
0.6749997219740421)    0.6749997219740421
coupled_cpl extractionPatterns(animal, prey such as _ 0.5079785788047109)
      0.5079785788047109
coupled_cpl extractionPatterns(animal, prey , such as _
0.5465114609714454)    0.5465114609714454
coupled_cpl extractionPatterns(animal, small herd of _
0.47167126901100914)   0.47167126901100914
coupled_cpl extractionPatterns(animal, thousands of migratory _
0.861878473737796)     0.861878473737796
coupled_cpl extractionPatterns(animal, wildlife , including _
0.443388020291923)     0.443388020291923
coupled_cpl extractionPatterns(animal, wildlife including _
0.49786316937608194)   0.49786316937608194
coupled_cpl extractionPatterns(animal, wildlife like _
0.46732048186941055)   0.46732048186941055
coupled_cpl extractionPatterns(animal, wildlife , such as _
0.5244301680750879)    0.5244301680750879
coupled_cpl extractionPatterns(animal, wildlife such as _
0.5333331516919638)    0.5333331516919638
coupled_cpl extractionPatterns(athlete, baseball players like _
0.2105262353782364)    0.2105262353782364
coupled_cpl extractionPatterns(athlete, better quarterback than _
0.2727272683991621)    0.2727272683991621
coupled_cpl extractionPatterns(athlete, blockbuster trade for _
0.17647059800966608)   0.17647059800966608
coupled_cpl extractionPatterns(athlete, _ breaks the homerun record
0.250000090279989)     0.250000090279989
coupled_cpl extractionPatterns(athlete, _ break the home run record
0.3333334295560505)    0.3333334295560505
coupled_cpl extractionPatterns(athlete, _ broke the home run record
0.357143006136159)     0.357143006136159
coupled_cpl extractionPatterns(athlete, DD-yard bomb from _
0.2857142767129624)    0.2857142767129624
coupled_cpl extractionPatterns(athlete, defensively challenged _
0.12499994270999265)   0.12499994270999265
coupled_cpl extractionPatterns(athlete, D-yard TD pass from _
0.2857142767129624)    0.2857142767129624
coupled_cpl extractionPatterns(athlete, D-yard touchdown pass from _
0.24000008535365014)   0.24000008535365014
coupled_cpl extractionPatterns(athlete, _ ended a streak
0.3023255083027143)    0.3023255083027143
coupled_cpl extractionPatterns(athlete, _ faced more pressure
0.30769230656666036)   0.30769230656666036
coupled_cpl extractionPatterns(athlete, favorite football player is _
0.2727272683991621)    0.2727272683991621
coupled_cpl extractionPatterns(athlete, federal grand jury is
investigating whether _ 0.2727272683991621)   0.2727272683991621
coupled_cpl extractionPatterns(athlete, football greats like _
0.17647059800966608)   0.17647059800966608
coupled_cpl extractionPatterns(athlete, grand jury testimony of _
0.35483868543724384)   0.35483868543724384
coupled_cpl extractionPatterns(athlete, _ has a high ankle sprain
0.2727272683991621)    0.2727272683991621
coupled_cpl extractionPatterns(athlete, _ has knee surgery
0.1562499984946291)    0.1562499984946291
coupled_cpl extractionPatterns(athlete, hooplah surrounding _
0.2727272683991621)    0.2727272683991621
coupled_cpl extractionPatterns(athlete, inside bucket by _
0.23076924664463755)   0.23076924664463755
coupled_cpl extractionPatterns(athlete, interception off _
0.23529411363207658)   0.23529411363207658
coupled_cpl extractionPatterns(athlete, interception thrown by _
0.2857142767129624)    0.2857142767129624
coupled_cpl extractionPatterns(athlete, _ is a better quarterback
0.611111407559835)     0.611111407559835
coupled_cpl extractionPatterns(athlete, _ is a good QB
0.2727272683991621)    0.2727272683991621
coupled_cpl extractionPatterns(athlete, _ is a good quarterback
0.250000090279989)     0.250000090279989
coupled_cpl extractionPatterns(athlete, _ is a great baseball player
0.250000090279989)     0.250000090279989
coupled_cpl extractionPatterns(athlete, _ is a great quarterback
0.26470586839763205)   0.26470586839763205
coupled_cpl extractionPatterns(athlete, _ is the only quarterback
0.19999998248682085)   0.19999998248682085
coupled_cpl extractionPatterns(athlete, _ notes the trend
0.23076924664463755)   0.23076924664463755
coupled_cpl extractionPatterns(athlete, _ opened the drive
0.23076924664463755)   0.23076924664463755
coupled_cpl extractionPatterns(athlete, pass rush on _
0.2173913703250207)    0.2173913703250207
coupled_cpl extractionPatterns(athlete, perjury case against _
0.2368420063555864)    0.2368420063555864
coupled_cpl extractionPatterns(athletePlaysForTeam, arg1 had DD points
for arg2 0.00508906071913185)      0.00508906071913185
coupled_cpl extractionPatterns(athletePlaysForTeam, arg1 led the way for
arg2 0.003154573419171313)   0.003154573419171313
coupled_cpl extractionPatterns(athletePlaysForTeam, arg1 scored DD points
for arg2 0.00645161365754357)      0.00645161365754357
coupled_cpl extractionPatterns(athletePlaysForTeam, arg2 are led by arg1
6.901310851074427E-4) 6.901310851074427E-4
coupled_cpl extractionPatterns(athletePlaysForTeam, arg2 are without arg1
7.739936357094558E-5) 7.739936357094558E-5
coupled_cpl extractionPatterns(athletePlaysForTeam, arg2 center arg1
2.0457804850747464E-4) 2.0457804850747464E-4
coupled_cpl extractionPatterns(athletePlaysForTeam, arg2 forward arg1
6.129329549698938E-4) 6.129329549698938E-4
coupled_cpl extractionPatterns(athletePlaysForTeam, arg2 guard arg1
8.944540730904334E-4) 8.944540730904334E-4
coupled_cpl extractionPatterns(athletePlaysForTeam, arg2 not named arg1
0.004347827430101057) 0.004347827430101057
coupled_cpl extractionPatterns(athletePlaysForTeam, arg2 outfielder arg1
0.008238928334595191) 0.008238928334595191
coupled_cpl extractionPatterns(athletePlaysForTeam, arg2 quarterback arg1
0.01484570026654334)   0.01484570026654334
coupled_cpl extractionPatterns(athletePlaysForTeam, arg2 slugger arg1
0.0029291148516706455) 0.0029291148516706455
coupled_cpl extractionPatterns(athletePlaysForTeam, arg2 teammate arg1
0.0010922996877276152) 0.0010922996877276152
coupled_cpl extractionPatterns(athletePlaysForTeam, arg2 traded for arg1
0.0011716456265197421) 0.0011716456265197421
coupled_cpl extractionPatterns(athletePlaysForTeam, arg2 were without
arg1 9.79431751385585E-4)    9.79431751385585E-4
coupled_cpl extractionPatterns(athletePlaysSport, arg1 autographed arg2
0.0065359471986433885) 0.0065359471986433885
coupled_cpl extractionPatterns(athletePlaysSport, arg1 is not playing
arg2 0.006920411816973067)   0.006920411816973067
coupled_cpl extractionPatterns(athletePlaysSport, arg1 learned to play
arg2 0.0030395129202595824) 0.0030395129202595824
coupled_cpl extractionPatterns(athletePlaysSport, arg1 plays arg2
9.756204728067162E-5) 9.756204728067162E-5
coupled_cpl extractionPatterns(athletePlaysSport, arg1 retired from arg2
5.400542286619475E-4) 5.400542286619475E-4
coupled_cpl extractionPatterns(athletePlaysSport, arg1 retired from
professional arg2 0.004672897266457251) 0.004672897266457251
coupled_cpl extractionPatterns(athletePlaysSport, arg1 retires from arg2
0.010380626983851924) 0.010380626983851924
coupled_cpl extractionPatterns(athletePlaysSport, arg1 started playing
arg2 8.880992972465844E-4)   8.880992972465844E-4
coupled_cpl extractionPatterns(athletePlaysSport, arg2 ace arg1
7.024586638375409E-4) 7.024586638375409E-4
coupled_cpl extractionPatterns(athletePlaysSport, arg2 autographed by
arg1 0.0028943549731050323) 0.0028943549731050323
coupled_cpl extractionPatterns(athletePlaysSport, arg2 celebrity arg1
2.33072964747063E-4)   2.33072964747063E-4
coupled_cpl extractionPatterns(athletePlaysSport, arg2 champ arg1
0.005999998858524601) 0.005999998858524601
coupled_cpl extractionPatterns(athletePlaysSport, arg2 genius arg1
0.001085186952913622) 0.001085186952913622
coupled_cpl extractionPatterns(athletePlaysSport, arg2 great arg1
8.862327830877308E-5) 8.862327830877308E-5
coupled_cpl extractionPatterns(athletePlaysSport, arg2 greats arg1
0.005617975001641493) 0.005617975001641493
coupled_cpl extractionPatterns(athletePlaysSport, arg2 greats as arg1
0.004672897266457251) 0.004672897266457251
coupled_cpl extractionPatterns(athletePlaysSport, arg2 greats like arg1
0.004559268887495158) 0.004559268887495158
coupled_cpl extractionPatterns(athletePlaysSport, arg2 greats such as
arg1 0.007009345141918396)   0.007009345141918396
coupled_cpl extractionPatterns(athletePlaysSport, arg2 hero arg1
0.001450443365466956) 0.001450443365466956
coupled_cpl extractionPatterns(athletePlaysSport, arg2 hottie arg1
0.010101008587218198) 0.010101008587218198
coupled_cpl extractionPatterns(athletePlaysSport, arg2 icon arg1
3.010536710422842E-4) 3.010536710422842E-4
coupled_cpl extractionPatterns(athletePlaysSport, arg2 idol arg1
7.504691602551684E-4) 7.504691602551684E-4
coupled_cpl extractionPatterns(athletePlaysSport, arg2 legend arg1
2.8905921345250056E-4) 2.8905921345250056E-4
coupled_cpl extractionPatterns(athletePlaysSport, arg2 legends arg1
9.009011660418229E-4) 9.009011660418229E-4
coupled_cpl extractionPatterns(athletePlaysSport, arg2 legends including
arg1 0.004672897266457251)    0.004672897266457251
coupled_cpl extractionPatterns(athletePlaysSport, arg2 lesson from arg1
0.0031847133309180035) 0.0031847133309180035
coupled_cpl extractionPatterns(athletePlaysSport, arg2 lessons with arg1
0.002164501928748366) 0.002164501928748366
coupled_cpl extractionPatterns(athletePlaysSport, arg2 megastar arg1
0.0028943549731050323) 0.0028943549731050323
coupled_cpl extractionPatterns(athletePlaysSport, arg2 phenom arg1
0.012759170640549723) 0.012759170640549723
coupled_cpl extractionPatterns(athletePlaysSport, arg2 player arg1
6.354392918910931E-4) 6.354392918910931E-4
coupled_cpl extractionPatterns(athletePlaysSport, arg2 player like arg1
0.003189793812035217) 0.003189793812035217
coupled_cpl extractionPatterns(athletePlaysSport, arg2 player named arg1
0.0028943549731050323) 0.0028943549731050323
coupled_cpl extractionPatterns(athletePlaysSport, arg2 player since arg1
8.880992972465844E-4) 8.880992972465844E-4
coupled_cpl extractionPatterns(athletePlaysSport, arg2 prodigy arg1
0.003189793812035217) 0.003189793812035217
coupled_cpl extractionPatterns(athletePlaysSport, arg2 sensation arg1
0.002274795774634875) 0.002274795774634875
coupled_cpl extractionPatterns(athletePlaysSport, arg2 star arg1
0.0035752506264240015) 0.0035752506264240015
coupled_cpl extractionPatterns(athletePlaysSport, arg2 stars like arg1
0.0019685048180680745) 0.0019685048180680745
coupled_cpl extractionPatterns(athletePlaysSport, arg2 superstar arg1
0.012879788232721278) 0.012879788232721278
coupled_cpl extractionPatterns(athlete, quarterback like _
0.250000090279989)      0.250000090279989
coupled_cpl extractionPatterns(athlete, quarterback named _
0.15384618106178571)    0.15384618106178571
coupled_cpl extractionPatterns(athlete, quarterback other than _
0.357143006136159)      0.357143006136159
coupled_cpl extractionPatterns(athlete, quarterbacks like _
0.22857131881364412)    0.22857131881364412
coupled_cpl extractionPatterns(athlete, quarterbacks named _
0.2857142767129624)     0.2857142767129624
coupled_cpl extractionPatterns(athlete, sluggers like _
0.24137923332822347)    0.24137923332822347
coupled_cpl extractionPatterns(athlete, soccer great _ 0.250000090279989)
      0.250000090279989
coupled_cpl extractionPatterns(athlete, star players such as _
0.12499994270999265)    0.12499994270999265
coupled_cpl extractionPatterns(athlete, tennis great _
0.22222231039474505)    0.22222231039474505
coupled_cpl extractionPatterns(athlete, _ threw the interception
0.2857142767129624)     0.2857142767129624
coupled_cpl extractionPatterns(athlete, _ throws a touchdown pass
0.23076924664463755)    0.23076924664463755
coupled_cpl extractionPatterns(athlete, _ told a federal grand jury
0.294117774006532)      0.294117774006532
coupled_cpl extractionPatterns(athlete, top players , including _
0.17142850153053285)    0.17142850153053285
coupled_cpl extractionPatterns(athlete, top players including _
0.19999998248682085)    0.19999998248682085
coupled_cpl extractionPatterns(athlete, two-stroke victory over _
0.250000090279989)      0.250000090279989
coupled_cpl extractionPatterns(athlete, unbeaten season as _
0.3333334295560505)     0.3333334295560505
coupled_cpl extractionPatterns(athlete, _ was a better quarterback
0.30769230656666036)    0.30769230656666036
coupled_cpl extractionPatterns(athlete, _ was the only quarterback
0.19999998248682085)    0.19999998248682085
coupled_cpl extractionPatterns(awardTrophyTournament, ad during _
0.26063821048537) 0.26063821048537
coupled_cpl extractionPatterns(awardTrophyTournament, ad time during _
0.2777777348505767)     0.2777777348505767
coupled_cpl extractionPatterns(awardTrophyTournament, Champ Car Atlantic
_ 0.6521739227132215) 0.6521739227132215
coupled_cpl extractionPatterns(awardTrophyTournament, championship is
called _ 0.16666674487136082)       0.16666674487136082
coupled_cpl extractionPatterns(awardTrophyTournament, commercial aired
during _ 0.19047620506734006)       0.19047620506734006
coupled_cpl extractionPatterns(awardTrophyTournament, commercials during
_ 0.12297736068774087) 0.12297736068774087
coupled_cpl extractionPatterns(awardTrophyTournament, contribution plot
for _ 0.2857142767129624)     0.2857142767129624
coupled_cpl extractionPatterns(awardTrophyTournament, courts used by _
0.16666674487136082)    0.16666674487136082
coupled_cpl extractionPatterns(awardTrophyTournament, cricket following _
0.16666674487136082)    0.16666674487136082
coupled_cpl extractionPatterns(awardTrophyTournament, _ doubles titles
0.7999996410514483)     0.7999996410514483
coupled_cpl extractionPatterns(awardTrophyTournament, early break in _
0.37931017686449026)    0.37931017686449026
coupled_cpl extractionPatterns(awardTrophyTournament, favorite team play
in _ 0.16666674487136082)     0.16666674487136082
coupled_cpl extractionPatterns(awardTrophyTournament, favorite team win _
0.16666674487136082)    0.16666674487136082
coupled_cpl extractionPatterns(awardTrophyTournament, golfers have won _
0.16666674487136082)    0.16666674487136082
coupled_cpl extractionPatterns(awardTrophyTournament, grand slam at _
0.18181819858880538)    0.18181819858880538
coupled_cpl extractionPatterns(awardTrophyTournament, group stage of _
0.35294113229229485)    0.35294113229229485
coupled_cpl extractionPatterns(awardTrophyTournament, group stages of _
0.23809512506891317)    0.23809512506891317
coupled_cpl extractionPatterns(awardTrophyTournament, high school
football team won _ 0.2857142767129624) 0.2857142767129624
coupled_cpl extractionPatterns(awardTrophyTournament, _ is presented each
year 0.3929711812320548)      0.3929711812320548
coupled_cpl extractionPatterns(awardTrophyTournament, knockout round of _
0.3333334295560505)     0.3333334295560505
coupled_cpl extractionPatterns(awardTrophyTournament, knockout stages of
_ 0.3469387595698979) 0.3469387595698979
coupled_cpl extractionPatterns(awardTrophyTournament, last won _
0.11869441854463367)   0.11869441854463367
coupled_cpl extractionPatterns(awardTrophyTournament, mixed doubles title
at _ 0.3333334295560505)     0.3333334295560505
coupled_cpl extractionPatterns(awardTrophyTournament, one-game playoff
for _ 0.250000090279989)     0.250000090279989
coupled_cpl extractionPatterns(awardTrophyTournament, qualifying matches
for _ 0.18181819858880538)   0.18181819858880538
coupled_cpl extractionPatterns(awardTrophyTournament, qualifying site for
_ 0.19047620506734006) 0.19047620506734006
coupled_cpl extractionPatterns(awardTrophyTournament, relegation from _
0.24861867053758288)   0.24861867053758288
coupled_cpl extractionPatterns(awardTrophyTournament, run towards _
0.15897441526378747)   0.15897441526378747
coupled_cpl extractionPatterns(awardTrophyTournament, second-round match
at _ 0.19047620506734006)    0.19047620506734006
coupled_cpl extractionPatterns(awardTrophyTournament, service game in _
0.357143006136159)     0.357143006136159
coupled_cpl extractionPatterns(awardTrophyTournament, seventh game of _
0.251655547876599)     0.251655547876599
coupled_cpl extractionPatterns(awardTrophyTournament, _ singles champions
0.2857142767129624)    0.2857142767129624
coupled_cpl extractionPatterns(awardTrophyTournament, _ singles crown
0.16666674487136082)   0.16666674487136082
coupled_cpl extractionPatterns(awardTrophyTournament, _ singles finals
0.22727262293734563)   0.22727262293734563
coupled_cpl extractionPatterns(awardTrophyTournament, _ singles titles
0.5611112985497204)    0.5611112985497204
coupled_cpl extractionPatterns(awardTrophyTournament, third qualifying
round of _ 0.47368440086698504)    0.47368440086698504
coupled_cpl extractionPatterns(awardTrophyTournament, _ winning artists
0.4812501893142311)    0.4812501893142311
coupled_cpl extractionPatterns(awardTrophyTournament, _ winning beaches
0.8780488930959858)    0.8780488930959858
coupled_cpl extractionPatterns(awardTrophyTournament, _ winning beer
0.5952379722709458)    0.5952379722709458
coupled_cpl extractionPatterns(awardTrophyTournament, _ winning book
0.4216591469364225)    0.4216591469364225
coupled_cpl extractionPatterns(awardTrophyTournament, _ winning coach
0.1398601897490881)    0.1398601897490881
coupled_cpl extractionPatterns(awardTrophyTournament, _ winning designs
0.3680556976338162)    0.3680556976338162
coupled_cpl extractionPatterns(awardTrophyTournament, _ winning faculty
0.8750003435465248)    0.8750003435465248
coupled_cpl extractionPatterns(awardTrophyTournament, _ winning gardens
0.807453347135124)     0.807453347135124
coupled_cpl extractionPatterns(awardTrophyTournament, _ winning material
0.456521720306068)     0.456521720306068
coupled_cpl extractionPatterns(awardTrophyTournament, _ winning service
department 0.9199996402239974)     0.9199996402239974
coupled_cpl extractionPatterns(awardTrophyTournament, _ winning short
films 0.9183671709247885)    0.9183671709247885
coupled_cpl extractionPatterns(awardTrophyTournament, _ winning
technology 0.5035969667316305)     0.5035969667316305
coupled_cpl extractionPatterns(awardTrophyTournament, _ winning winery
0.9230766532371499)     0.9230766532371499
coupled_cpl extractionPatterns(awardTrophyTournament, _ winning wines
0.7674752865300973)     0.7674752865300973
coupled_cpl extractionPatterns(boardGame, abstract games like _
0.3333334295560505)     0.3333334295560505
coupled_cpl extractionPatterns(boardGame, abstract games such as _
0.42857136873737717)    0.42857136873737717
coupled_cpl extractionPatterns(boardGame, amazing job translating _
0.3333334295560505)     0.3333334295560505
coupled_cpl extractionPatterns(boardGame, board game known as _
0.42857136873737717)    0.42857136873737717
coupled_cpl extractionPatterns(boardGame, board game like _
0.4117647861768502)     0.4117647861768502
coupled_cpl extractionPatterns(boardGame, board game , see _
0.19148936636945865)    0.19148936636945865
coupled_cpl extractionPatterns(boardGame, board games include _
0.22222231039474505)    0.22222231039474505
coupled_cpl extractionPatterns(boardGame, board games including _
0.29629639239245803)    0.29629639239245803
coupled_cpl extractionPatterns(boardGame, board games , like _
0.38095234134994) 0.38095234134994
coupled_cpl extractionPatterns(boardGame, boardgames like _
0.5555553693900973)     0.5555553693900973
coupled_cpl extractionPatterns(boardGame, boardgames such as _
0.3333334295560505)     0.3333334295560505
coupled_cpl extractionPatterns(boardGame, board game , such as _
0.3333334295560505)     0.3333334295560505
coupled_cpl extractionPatterns(boardGame, board game such as _
0.44444454054060095)    0.44444454054060095
coupled_cpl extractionPatterns(boardGame, board-game version of _
0.3333334295560505)     0.3333334295560505
coupled_cpl extractionPatterns(boardGame, butt kicked at _
0.21428572306010352)    0.21428572306010352
coupled_cpl extractionPatterns(boardGame, childhood favorites like _
0.2857142767129624)     0.2857142767129624
coupled_cpl extractionPatterns(boardGame, competitive games , such as _
0.2857142767129624)     0.2857142767129624
coupled_cpl extractionPatterns(boardGame, complex games like _
0.5000000902799808)     0.5000000902799808
coupled_cpl extractionPatterns(boardGame, cutthroat game of _
0.3999998927496764)     0.3999998927496764
coupled_cpl extractionPatterns(boardGame, cutthroat games of _
0.44444454054060095)    0.44444454054060095
coupled_cpl extractionPatterns(boardGame, electronic game of _
0.2857142767129624)     0.2857142767129624
coupled_cpl extractionPatterns(boardGame, epic games of _
0.42857136873737717)    0.42857136873737717
coupled_cpl extractionPatterns(boardGame, face-to-face game of _
0.2857142767129624)     0.2857142767129624
coupled_cpl extractionPatterns(boardGame, family had been playing _
0.22222231039474505)    0.22222231039474505
coupled_cpl extractionPatterns(boardGame, fashion game of _
0.22222231039474505)    0.22222231039474505
coupled_cpl extractionPatterns(boardGame, favorite board game is _
0.43999980291076946)   0.43999980291076946
coupled_cpl extractionPatterns(boardGame, game of giant _
0.3999998927496764)    0.3999998927496764
coupled_cpl extractionPatterns(boardGame, game show , see _
0.18181819858880538)   0.18181819858880538
coupled_cpl extractionPatterns(boardGame, game s like _
0.16666674487136082)   0.16666674487136082
coupled_cpl extractionPatterns(boardGame, government was playing _
0.18181819858880538)   0.18181819858880538
coupled_cpl extractionPatterns(boardGame, impassioned game of _
0.18181819858880538)   0.18181819858880538
coupled_cpl extractionPatterns(boardGame, _ is a classic game
1.4741373923900425)    1.4741373923900425
coupled_cpl extractionPatterns(boardGame, _ is a horrible game
0.22222231039474505)   0.22222231039474505
coupled_cpl extractionPatterns(boardGame, life-size game of _
0.18181819858880538)   0.18181819858880538
coupled_cpl extractionPatterns(boardGame, live game of _
0.30769230656666036)   0.30769230656666036
coupled_cpl extractionPatterns(boardGame, living game of _
0.5714284502488258)    0.5714284502488258
coupled_cpl extractionPatterns(boardGame, many many games of _
0.18181819858880538)   0.18181819858880538
coupled_cpl extractionPatterns(boardGame, mind games like _
0.21428572306010352)   0.21428572306010352
coupled_cpl extractionPatterns(boardGame, old men play _
0.449999863298018)     0.449999863298018
coupled_cpl extractionPatterns(boardGame, old men playing _
0.31914906402380705)   0.31914906402380705
coupled_cpl extractionPatterns(boardGame, other classic games like _
0.42857136873737717)   0.42857136873737717
coupled_cpl extractionPatterns(boardGame, party games such as _
0.29999994129778657)   0.29999994129778657
coupled_cpl extractionPatterns(boardGame, possible games of _
0.42857136873737717)   0.42857136873737717
coupled_cpl extractionPatterns(boardGame, royal game of _
0.4545456183474251)    0.4545456183474251
coupled_cpl extractionPatterns(boardGame, same rules as normal _
0.23076924664463755)   0.23076924664463755
coupled_cpl extractionPatterns(boardGame, stimulating game of _
0.3846155557798213)    0.3846155557798213
coupled_cpl extractionPatterns(boardGame, strategy games like _
0.19999998248682085)   0.19999998248682085
coupled_cpl extractionPatterns(boardGame, strategy games such as _
0.29629639239245803)   0.29629639239245803
coupled_cpl extractionPatterns(boardGame, time reading , playing _
0.30769230656666036)   0.30769230656666036
coupled_cpl extractionPatterns(boardGame, tournament game of _
0.3333334295560505)    0.3333334295560505
coupled_cpl extractionPatterns(bodyPart, _ amputated in
0.6065573476487911)    0.6065573476487911
coupled_cpl extractionPatterns(bodyPart, big beaming _
0.6666667387387801)    0.6666667387387801
coupled_cpl extractionPatterns(bodyPart, congestion , runny _
0.985915133090727)      0.985915133090727
coupled_cpl extractionPatterns(bodyPart, _ crinkled as
0.7297297637642488)     0.7297297637642488
coupled_cpl extractionPatterns(bodyPart, _ darted around
0.5174822779170105)     0.5174822779170105
coupled_cpl extractionPatterns(bodyPart, diploid number of _
0.6666667387387801)     0.6666667387387801
coupled_cpl extractionPatterns(bodyPart, _ do the walking
0.5146768762443207)     0.5146768762443207
coupled_cpl extractionPatterns(bodyPart, extra set of _
0.26709683725189315)    0.26709683725189315
coupled_cpl extractionPatterns(bodyPart, eyes , runny _
0.9493668407570365)     0.9493668407570365
coupled_cpl extractionPatterns(bodyPart, _ fixed on 0.32146198014863225)
      0.32146198014863225
coupled_cpl extractionPatterns(bodyPart, _ flashed with
0.5464480693187597)     0.5464480693187597
coupled_cpl extractionPatterns(bodyPart, _ glinted with
0.6951219369206474)     0.6951219369206474
coupled_cpl extractionPatterns(bodyPart, hair , dark _ 0.541666922813532)
      0.541666922813532
coupled_cpl extractionPatterns(bodyPart, _ lifted the corners
0.7428567888619764)     0.7428567888619764
coupled_cpl extractionPatterns(bodyPart, _ locked on 0.29640278189309965)
      0.29640278189309965
coupled_cpl extractionPatterns(bodyPart, _ narrowed as
0.7480518389499545)     0.7480518389499545
coupled_cpl extractionPatterns(bodyPart, _ narrowed at
0.5460121777033292)     0.5460121777033292
coupled_cpl extractionPatterns(bodyPart, _ narrowed in
0.5171429208639802)     0.5171429208639802
coupled_cpl extractionPatterns(bodyPart, pair of homologous _
0.5806454206001117)     0.5806454206001117
coupled_cpl extractionPatterns(bodyPart, pair of human _
0.511363802407469)      0.511363802407469
coupled_cpl extractionPatterns(bodyPart, _ peeled for 0.948673107186955)
      0.948673107186955
coupled_cpl extractionPatterns(bodyPart, people with open _
0.5084746079204573)     0.5084746079204573
coupled_cpl extractionPatterns(bodyPart, _ quirked at 0.5806454206001117)
      0.5806454206001117
coupled_cpl extractionPatterns(bodyPart, _ remained fixed on
0.8269227485419535)     0.8269227485419535
coupled_cpl extractionPatterns(bodyPart, _ shook as 0.4492957150041093)
      0.4492957150041093
coupled_cpl extractionPatterns(bodyPart, sore aching _ 0.611111407559835)
      0.611111407559835
coupled_cpl extractionPatterns(bodyPart, _ sparkled as
0.7319588371526511)     0.7319588371526511
coupled_cpl extractionPatterns(bodyPart, _ sparkled at
0.5192306926842682)     0.5192306926842682
coupled_cpl extractionPatterns(bodyPart, _ sparkled with
0.5440560523641973)     0.5440560523641973
coupled_cpl extractionPatterns(bodyPart, _ tightened on
0.30676325047240255)    0.30676325047240255
coupled_cpl extractionPatterns(bodyPart, tired aching _
0.39024403686422865)    0.39024403686422865
coupled_cpl extractionPatterns(bodyPart, tired , aching _
0.7857143303561276)     0.7857143303561276
coupled_cpl extractionPatterns(bodyPart, _ twinkled as
0.8839285901329462)     0.8839285901329462
coupled_cpl extractionPatterns(bodyPart, _ twinkled with
0.7741938380417579)     0.7741938380417579
coupled_cpl extractionPatterns(bodyPart, _ twitched at
0.5454544383110917)     0.5454544383110917
coupled_cpl extractionPatterns(bodyPart, _ was amputated after
0.6249997682786277)     0.6249997682786277
coupled_cpl extractionPatterns(bodyPart, _ welled with
0.9811322667637189)     0.9811322667637189
coupled_cpl extractionPatterns(bodyPart, _ were aching from
0.41791049340360453)    0.41791049340360453
coupled_cpl extractionPatterns(bodyPart, _ were a little sore
0.5833330420941402)     0.5833330420941402
coupled_cpl extractionPatterns(bodyPart, _ were burning from
0.6410255264496549)     0.6410255264496549
coupled_cpl extractionPatterns(bodyPart, _ were fixed on
0.7049178554857469)     0.7049178554857469
coupled_cpl extractionPatterns(bodyPart, _ were fixed upon
0.6923075400867749)     0.6923075400867749
coupled_cpl extractionPatterns(bodyPart, _ were hurting from
0.6190476687335507)     0.6190476687335507
coupled_cpl extractionPatterns(bodyPart, _ were locked on
0.7586209753731393)     0.7586209753731393
coupled_cpl extractionPatterns(bodyPart, _ widened as 0.7008313540448314)
      0.7008313540448314
coupled_cpl extractionPatterns(bodyPart, _ widened at 0.785992522466172)
      0.785992522466172
coupled_cpl extractionPatterns(bodyPart, _ widened in 0.7623420038779789)
      0.7623420038779789
coupled_cpl extractionPatterns(bodyPart, _ widened with
0.6712329727239857)     0.6712329727239857
coupled_cpl extractionPatterns(bodyPart, women with large _
0.507142626680961)      0.507142626680961
coupled_cpl extractionPatterns(bodyPart, world with open _
0.35365868415924534)    0.35365868415924534
coupled_cpl extractionPatterns(building, _ are a list 0.515774306338861)
      0.515774306338861
coupled_cpl extractionPatterns(building, _ are built of
0.08893282228907565)    0.08893282228907565
coupled_cpl extractionPatterns(building, _ are descriptions
0.43844714953917263)    0.43844714953917263
coupled_cpl extractionPatterns(building, _ are excerpts
0.5738581721730948)     0.5738581721730948
coupled_cpl extractionPatterns(building, _ are photos 0.3865279878472774)
      0.3865279878472774
coupled_cpl extractionPatterns(building, _ are the books
0.4053809648754028)     0.4053809648754028
coupled_cpl extractionPatterns(building, _ are the details
0.6403854617142991)    0.6403854617142991
coupled_cpl extractionPatterns(building, _ are the files
0.503246585189706)     0.503246585189706
coupled_cpl extractionPatterns(building, _ are the folks
0.4131035463049794)    0.4131035463049794
coupled_cpl extractionPatterns(building, _ are the images
0.3903345839838409)    0.3903345839838409
coupled_cpl extractionPatterns(building, _ are the kinds
0.6358287582057246)    0.6358287582057246
coupled_cpl extractionPatterns(building, _ are the links
0.5029764143208298)    0.5029764143208298
coupled_cpl extractionPatterns(building, _ are the options
0.3999998927496764)    0.3999998927496764
coupled_cpl extractionPatterns(building, _ are the people
0.2652562338429558)    0.2652562338429558
coupled_cpl extractionPatterns(building, _ are the programs
0.3769231343454108)    0.3769231343454108
coupled_cpl extractionPatterns(building, _ are the rules
0.4840708493615689)    0.4840708493615689
coupled_cpl extractionPatterns(building, _ are the steps
0.6719267146408193)    0.6719267146408193
coupled_cpl extractionPatterns(building, _ are the stories
0.25629734618412353)   0.25629734618412353
coupled_cpl extractionPatterns(building, _ are the things
0.3154654852418177)    0.3154654852418177
coupled_cpl extractionPatterns(building, _ are the times
0.45550253362655385)   0.45550253362655385
coupled_cpl extractionPatterns(building, _ are the words
0.3145418950839065)    0.3145418950839065
coupled_cpl extractionPatterns(building, baseball game at _
0.10576919124782491)   0.10576919124782491
coupled_cpl extractionPatterns(building, baseball games at _
0.11111106414847875)   0.11111106414847875
coupled_cpl extractionPatterns(building, bleachers at _
0.10169491267908454)   0.10169491267908454
coupled_cpl extractionPatterns(building, _ constructed after
0.22222231039474505)   0.22222231039474505
coupled_cpl extractionPatterns(building, construction of many _
0.186956557864674)     0.186956557864674
coupled_cpl extractionPatterns(building, friendly confines of _
0.08135589364002602)   0.08135589364002602
coupled_cpl extractionPatterns(building, home opener at _
0.22631577962146188)   0.22631577962146188
coupled_cpl extractionPatterns(building, _ is a complete list
0.42845267090864514)   0.42845267090864514
coupled_cpl extractionPatterns(building, _ is a listing
0.48095719717410085)   0.48095719717410085
coupled_cpl extractionPatterns(building, _ is an excerpt
0.522095895561249)     0.522095895561249
coupled_cpl extractionPatterns(building, _ is an outline
0.3948718488547465)    0.3948718488547465
coupled_cpl extractionPatterns(building, _ is a photo 0.3836548341579803)
      0.3836548341579803
coupled_cpl extractionPatterns(building, _ is a sample
0.4967819905131115)    0.4967819905131115
coupled_cpl extractionPatterns(building, _ is a summary
0.4155946054460475)    0.4155946054460475
coupled_cpl extractionPatterns(building, _ is the link
0.4040692519472364)    0.4040692519472364
coupled_cpl extractionPatterns(building, _ is the list
0.40277185256938647)   0.40277185256938647
coupled_cpl extractionPatterns(building, large complex of _
0.31914906402380705)   0.31914906402380705
coupled_cpl extractionPatterns(building, number of historic _
0.30050947341388984)   0.30050947341388984
coupled_cpl extractionPatterns(building, preservation of historic _
0.2917368738254537)    0.2917368738254537
coupled_cpl extractionPatterns(building, roofs of _ 0.07646073025106971)
      0.07646073025106971
coupled_cpl extractionPatterns(building, seating chart of _
0.12418299936139826)   0.12418299936139826
coupled_cpl extractionPatterns(building, sellout crowd at _
0.10457518422511622)   0.10457518422511622
coupled_cpl extractionPatterns(building, timber framed _
0.2232558177979026)    0.2232558177979026
coupled_cpl extractionPatterns(building, venues , including _
0.07754630788272887)   0.07754630788272887
coupled_cpl extractionPatterns(building, _ were built of
0.1155844323575174)    0.1155844323575174
coupled_cpl extractionPatterns(building, _ were erected in
0.1971427881204344)    0.1971427881204344
coupled_cpl extractionPatterns(building, _ were erected on
0.18627447890430435)   0.18627447890430435
coupled_cpl extractionPatterns(building, white washed _
0.21771225919361292)   0.21771225919361292
coupled_cpl extractionPatterns(building, wood paneled _
0.2966666977941398)    0.2966666977941398
coupled_cpl extractionPatterns(celebrity, adaptation starring _
0.2666666239952886)    0.2666666239952886
coupled_cpl extractionPatterns(celebrity, all-star cast includes _
0.2666666239952886)    0.2666666239952886
coupled_cpl extractionPatterns(celebrity, all-star cast including _
0.3039214497330906)    0.3039214497330906
coupled_cpl extractionPatterns(celebrity, back-up dancer for _
0.047058818605667345) 0.047058818605667345
coupled_cpl extractionPatterns(celebrity, boss played by _
0.35294113229229485)   0.35294113229229485
coupled_cpl extractionPatterns(celebrity, celebrities including _
0.19486076521378826)   0.19486076521378826
coupled_cpl extractionPatterns(celebrity, celebrity such as _
0.2812500915366263)    0.2812500915366263
coupled_cpl extractionPatterns(celebrity, celebs like _
0.22088347035251132)   0.22088347035251132
coupled_cpl extractionPatterns(celebrity, celebs such as _
0.19402990156840338)   0.19402990156840338
coupled_cpl extractionPatterns(celebrity, comedy film starring _
0.3333334295560505)    0.3333334295560505
coupled_cpl extractionPatterns(celebrity, complete feature on _
0.29999994129778657)    0.29999994129778657
coupled_cpl extractionPatterns(celebrity, detective , played by _
0.29999994129778657)    0.29999994129778657
coupled_cpl extractionPatterns(celebrity, _ Do a love match
0.48484840689779973)    0.48484840689779973
coupled_cpl extractionPatterns(celebrity, documentary , narrated by _
0.3333334295560505)     0.3333334295560505
coupled_cpl extractionPatterns(celebrity, _ enlarge Share
0.3250000314120314)     0.3250000314120314
coupled_cpl extractionPatterns(celebrity, ensemble cast including _
0.2857142767129624)     0.2857142767129624
coupled_cpl extractionPatterns(celebrity, exclusive biography of _
0.3243244095750028)     0.3243244095750028
coupled_cpl extractionPatterns(celebrity, famous artists such as _
0.054347807859510655) 0.054347807859510655
coupled_cpl extractionPatterns(celebrity, famous movie quote by _
0.21518976763273095)    0.21518976763273095
coupled_cpl extractionPatterns(celebrity, favorite actor is _
0.22727262293734563)    0.22727262293734563
coupled_cpl extractionPatterns(celebrity, favorite actress is _
0.32608702023486) 0.32608702023486
coupled_cpl extractionPatterns(celebrity, featured star is _
0.2972971902244623)     0.2972971902244623
coupled_cpl extractionPatterns(celebrity, film stars like _
0.2750000498617851)     0.2750000498617851
coupled_cpl extractionPatterns(celebrity, _ gives an astonishing
performance 0.294117774006532)     0.294117774006532
coupled_cpl extractionPatterns(celebrity, Glory starring _
0.35294113229229485)    0.35294113229229485
coupled_cpl extractionPatterns(celebrity, _ has fuelled rumours
0.2857142767129624)     0.2857142767129624
coupled_cpl extractionPatterns(celebrity, _ is a favorite actor
0.2857142767129624)     0.2857142767129624
coupled_cpl extractionPatterns(celebrity, _ is an outstanding actor
0.29999994129778657)    0.29999994129778657
coupled_cpl extractionPatterns(celebrity, lawyer played by _
0.2580644291110625)     0.2580644291110625
coupled_cpl extractionPatterns(celebrity, lead character played by _
0.3333334295560505)     0.3333334295560505
coupled_cpl extractionPatterns(celebrity, love match with _
0.294117774006532)      0.294117774006532
coupled_cpl extractionPatterns(celebrity, main character played by _
0.2903224723980957)     0.2903224723980957
coupled_cpl extractionPatterns(celebrity, Man starring _
0.2580644291110625)     0.2580644291110625
coupled_cpl extractionPatterns(celebrity, motion picture starring _
0.20560755499327651)    0.20560755499327651
coupled_cpl extractionPatterns(celebrity, movie staring _
0.18181819858880538)    0.18181819858880538
coupled_cpl extractionPatterns(celebrity, movie stars like _
0.19999998248682085)    0.19999998248682085
coupled_cpl extractionPatterns(celebrity, movie stars such as _
0.24137923332822347)    0.24137923332822347
coupled_cpl extractionPatterns(celebrity, photosGreat looking _
0.2666666239952886)    0.2666666239952886
coupled_cpl extractionPatterns(celebrity, physical compatibility with _
0.3250000314120314)    0.3250000314120314
coupled_cpl extractionPatterns(celebrity, _ plays a detective
0.047058818605667345) 0.047058818605667345
coupled_cpl extractionPatterns(celebrity, remake starring _
0.2972971902244623)    0.2972971902244623
coupled_cpl extractionPatterns(celebrity, _ s career
0.047058818605667345) 0.047058818605667345
coupled_cpl extractionPatterns(celebrity, show staring _
0.37500009487940933)   0.37500009487940933
coupled_cpl extractionPatterns(celebrity, _ s publicist
0.294117774006532)     0.294117774006532
coupled_cpl extractionPatterns(celebrity, stars opposite _
0.2972971902244623)    0.2972971902244623
coupled_cpl extractionPatterns(celebrity, such actors as _
0.327731042288184)     0.327731042288184
coupled_cpl extractionPatterns(celebrity, such actresses as _
0.30769230656666036)   0.30769230656666036
coupled_cpl extractionPatterns(celebrity, supermodels like _
0.3333334295560505)    0.3333334295560505
coupled_cpl extractionPatterns(celebrity, superstars such as _
0.052631577850865294) 0.052631577850865294
coupled_cpl extractionPatterns(celebrity, velvet painting of _
0.44444454054060095)   0.44444454054060095
coupled_cpl extractionPatterns(ceo, entrepreneurs like _
0.004132230273374892) 0.004132230273374892
coupled_cpl extractionPatterns(ceo, entrepreneurs such as _
0.023809514721034312) 0.023809514721034312
coupled_cpl extractionPatterns(ceo, giant owned by _ 0.05999998300560459)
      0.05999998300560459
coupled_cpl extractionPatterns(ceo, gurus such as _ 0.07865170274986467)
      0.07865170274986467
coupled_cpl extractionPatterns(ceo, interview quotes from _
0.03999999299472865)   0.03999999299472865
coupled_cpl extractionPatterns(ceo, late wife of _ 0.03999999299472865)
      0.03999999299472865
coupled_cpl extractionPatterns(ceo, major interview with _
0.03999999299472865)   0.03999999299472865
coupled_cpl extractionPatterns(ceoOf, arg1 announced arg2
7.824724005724284E-5) 7.824724005724284E-5
coupled_cpl extractionPatterns(ceoOf, arg1 does at arg2
5.434781796755663E-4) 5.434781796755663E-4
coupled_cpl extractionPatterns(ceoOf, arg1 for a job at arg2
2.6385232139222064E-4) 2.6385232139222064E-4
coupled_cpl extractionPatterns(ceoOf, arg1 founded arg2
2.971138973248008E-4) 2.971138973248008E-4
coupled_cpl extractionPatterns(ceoOf, arg1 has said that arg2
8.152171813817121E-4) 8.152171813817121E-4
coupled_cpl extractionPatterns(ceoOf, arg1 has used arg2
1.2103606487009318E-4) 1.2103606487009318E-4
coupled_cpl extractionPatterns(ceoOf, arg1 is the founder of arg2
4.5320635790148026E-4) 4.5320635790148026E-4
coupled_cpl extractionPatterns(ceoOf, arg1 launched arg2
1.0565980624383913E-4) 1.0565980624383913E-4
coupled_cpl extractionPatterns(ceoOf, arg1 leaving arg2
1.5961689821710726E-4) 1.5961689821710726E-4
coupled_cpl extractionPatterns(ceoOf, arg1 ran arg2 8.618089849810963E-5)
      8.618089849810963E-5
coupled_cpl extractionPatterns(ceoOf, arg1 said arg2 2.9676709847637066E-
5)    2.9676709847637066E-5
coupled_cpl extractionPatterns(ceoOf, arg1 says arg2 5.021087104650111E-
5)    5.021087104650111E-5
coupled_cpl extractionPatterns(ceoOf, arg1 says that arg2
4.700023294452539E-5) 4.700023294452539E-5
coupled_cpl extractionPatterns(ceoOf, arg1 started arg2
2.1020548619099627E-4) 2.1020548619099627E-4
coupled_cpl extractionPatterns(ceoOf, arg1 talking about arg2
9.286776113340555E-5) 9.286776113340555E-5
coupled_cpl extractionPatterns(ceoOf, arg1 the founder of arg2
9.286776113340555E-5) 9.286776113340555E-5
coupled_cpl extractionPatterns(ceoOf, arg1 unveiled arg2
2.6385232139222064E-4) 2.6385232139222064E-4
coupled_cpl extractionPatterns(ceoOf, arg2 boss arg1
0.003622217035007006) 0.003622217035007006
coupled_cpl extractionPatterns(ceoOf, arg2 chairman arg1
0.001232894034122008) 0.001232894034122008
coupled_cpl extractionPatterns(ceoOf, arg2 chief arg1
0.0011199715452776167) 0.0011199715452776167
coupled_cpl extractionPatterns(ceoOf, arg2 chief executive arg1
0.04509467997835612)   0.04509467997835612
coupled_cpl extractionPatterns(ceoOf, arg2 chief executive officer arg1
0.0060215053065319464) 0.0060215053065319464
coupled_cpl extractionPatterns(ceoOf, arg2 creator arg1
7.867822747360272E-4) 7.867822747360272E-4
coupled_cpl extractionPatterns(ceoOf, arg2 founder and chairman arg1
9.454032518082904E-4) 9.454032518082904E-4
coupled_cpl extractionPatterns(ceoOf, arg2 founder arg1
0.01954933516567213)   0.01954933516567213
coupled_cpl extractionPatterns(ceoOf, arg2 guru arg1 3.9577843930144825E-
4)    3.9577843930144825E-4
coupled_cpl extractionPatterns(ceoOf, arg2 head arg1 2.6186223843196674E-
4)    2.6186223843196674E-4
coupled_cpl extractionPatterns(ceoOf, arg2 head honcho arg1
0.0012903226185204484) 0.0012903226185204484
coupled_cpl extractionPatterns(ceoOf, arg2 led to arg1
4.683072749887477E-5) 4.683072749887477E-5
coupled_cpl extractionPatterns(ceoOf, arg2 magnate arg1
7.090524902283314E-4) 7.090524902283314E-4
coupled_cpl extractionPatterns(ceoOf, arg2 owner arg1 7.37499677524025E-
5)    7.37499677524025E-5
coupled_cpl extractionPatterns(ceoOf, arg2 supremo arg1
0.0014181047244037279) 0.0014181047244037279
coupled_cpl extractionPatterns(ceoOf, arg2 tycoon arg1
2.4207208603165974E-4) 2.4207208603165974E-4
coupled_cpl extractionPatterns(ceoOf, arg2 was founded in DDDD by arg1
2.720719512486049E-4) 2.720719512486049E-4
coupled_cpl extractionPatterns(ceoOf, arg2 was started by arg1
2.6385232139222064E-4) 2.6385232139222064E-4
coupled_cpl extractionPatterns(city, agency based in _
0.4880155543348284)     0.4880155543348284
coupled_cpl extractionPatterns(city, archbishop of _ 0.5531915245936818)
      0.5531915245936818
coupled_cpl extractionPatterns(city, beautiful city of _
0.4963599052328325)     0.4963599052328325
coupled_cpl extractionPatterns(city, cities including _
0.28252789214861956)    0.28252789214861956
coupled_cpl extractionPatterns(city, city center of _ 0.4618422021643435)
      0.4618422021643435
coupled_cpl extractionPatterns(city, city centre of _ 0.4829930570840808)
      0.4829930570840808
coupled_cpl extractionPatterns(city, city like _ 0.4110181109027268)
      0.4110181109027268
coupled_cpl extractionPatterns(city, city limits of _ 0.4542252766202171)
      0.4542252766202171
coupled_cpl extractionPatterns(city, company , based in _
0.4600675281256269)     0.4600675281256269
coupled_cpl extractionPatterns(city, company based in _
0.4668772051002114)     0.4668772051002114
coupled_cpl extractionPatterns(city, company headquartered in _
0.4966195693595196)     0.4966195693595196
coupled_cpl extractionPatterns(city, company is headquartered in _
0.48238728100144146)    0.48238728100144146
coupled_cpl extractionPatterns(city, consultant based in _
0.49650337397567956)    0.49650337397567956
coupled_cpl extractionPatterns(city, corporate headquarters in _
0.4929226568026888)     0.4929226568026888
coupled_cpl extractionPatterns(city, dealer located in _
0.5091956271613689)     0.5091956271613689
coupled_cpl extractionPatterns(city, dealers near _ 0.41243857227228387)
      0.41243857227228387
coupled_cpl extractionPatterns(city, drive north of _
0.45479432281513177)    0.45479432281513177
coupled_cpl extractionPatterns(city, embassy in _ 0.4947409434365015)
      0.4947409434365015
coupled_cpl extractionPatterns(city, entire city of _ 0.491150343245827)
      0.491150343245827
coupled_cpl extractionPatterns(city, firm based in _ 0.2826242505880225)
      0.2826242505880225
coupled_cpl extractionPatterns(city, firm headquartered in _
0.4561644037067726)     0.4561644037067726
coupled_cpl extractionPatterns(city, firm located in _
0.48871635936264674)    0.48871635936264674
coupled_cpl extractionPatterns(city, former mayor of _
0.4708950658097455)     0.4708950658097455
coupled_cpl extractionPatterns(city, freelance writer in _
0.5230767898385119)     0.5230767898385119
coupled_cpl extractionPatterns(city, great city of _ 0.41832317468530467)
      0.41832317468530467
coupled_cpl extractionPatterns(city, head office in _ 0.4745937993822386)
      0.4745937993822386
coupled_cpl extractionPatterns(city, headquarters are in _
0.45274283855611686)   0.45274283855611686
coupled_cpl extractionPatterns(city, headquarters are located in _
0.4796459746589162)    0.4796459746589162
coupled_cpl extractionPatterns(city, headquarters is in _
0.48534563129884245)   0.48534563129884245
coupled_cpl extractionPatterns(city, headquarters is located in _
0.4657836607361372)    0.4657836607361372
coupled_cpl extractionPatterns(city, historic city of _
0.47960089005630774)   0.47960089005630774
coupled_cpl extractionPatterns(city, home city of _ 0.5037314450738076)
      0.5037314450738076
coupled_cpl extractionPatterns(city, hour north of _ 0.5099559140700903)
      0.5099559140700903
coupled_cpl extractionPatterns(city, _ is a beautiful city
0.47399429178843794)   0.47399429178843794
coupled_cpl extractionPatterns(city, _ is a great city
0.47013283337810363)   0.47013283337810363
coupled_cpl extractionPatterns(city, journalist based in _
0.5356640964974205)    0.5356640964974205
coupled_cpl extractionPatterns(city, layover in _ 0.45721707539536527)
      0.45721707539536527
coupled_cpl extractionPatterns(cityLocatedInCountry, arg1 and all major
cities of arg2 0.0312499969624916) 0.0312499969624916
coupled_cpl extractionPatterns(cityLocatedInCountry, arg1 and all regions
of arg2 0.07812501335356142) 0.07812501335356142
coupled_cpl extractionPatterns(cityLocatedInCountry, arg1 and anywhere in
arg2 0.040540532616327535)   0.040540532616327535
coupled_cpl extractionPatterns(cityLocatedInCountry, arg1 and distributed
throughout arg2 0.03539824628646211)     0.03539824628646211
coupled_cpl extractionPatterns(cityLocatedInCountry, arg1 and many other
cities in arg2 0.05405403957212513)      0.05405403957212513
coupled_cpl extractionPatterns(cityLocatedInCountry, arg1 and much of
central arg2 0.040540532616327535) 0.040540532616327535
coupled_cpl extractionPatterns(cityLocatedInCountry, arg1 and other
cities across arg2 0.026548660089672785)       0.026548660089672785
coupled_cpl extractionPatterns(cityLocatedInCountry, arg1 and other
cities around arg2 0.041095896677272314)       0.041095896677272314
coupled_cpl extractionPatterns(cityLocatedInCountry, arg1 and other
cities in arg2 0.040716616583019026)     0.040716616583019026
coupled_cpl extractionPatterns(cityLocatedInCountry, arg1 and other
cities of arg2 0.06870227261667694)      0.06870227261667694
coupled_cpl extractionPatterns(cityLocatedInCountry, arg1 and other
destinations in arg2 0.0566037523519292)       0.0566037523519292
coupled_cpl extractionPatterns(cityLocatedInCountry, arg1 and other
locations in arg2 0.018348618379252165) 0.018348618379252165
coupled_cpl extractionPatterns(cityLocatedInCountry, arg1 and other major
cities in arg2 0.09734508854030802)      0.09734508854030802
coupled_cpl extractionPatterns(cityLocatedInCountry, arg1 and other major
cities of arg2 0.041095896677272314)     0.041095896677272314
coupled_cpl extractionPatterns(cityLocatedInCountry, arg1 and other towns
of arg2 0.041095896677272314)      0.041095896677272314
coupled_cpl extractionPatterns(cityLocatedInCountry, arg1 and the south
of arg2 0.09600000840137324) 0.09600000840137324
coupled_cpl extractionPatterns(cityLocatedInCountry, arg1 and tourist
resorts in arg2 0.011976043495291949)    0.011976043495291949
coupled_cpl extractionPatterns(cityLocatedInCountry, arg1 and traveled
around arg2 0.011976043495291949) 0.011976043495291949
coupled_cpl extractionPatterns(cityLocatedInCountry, arg1 and traveled
extensively throughout arg2 0.041095896677272314) 0.041095896677272314
coupled_cpl extractionPatterns(cityLocatedInCountry, arg1 as the capital
of arg2 0.09090911570894615) 0.09090911570894615
coupled_cpl extractionPatterns(cityLocatedInCountry, arg1 as well as all
over arg2 0.1578946879734282)      0.1578946879734282
coupled_cpl extractionPatterns(cityLocatedInCountry, arg1 became the
capital of arg2 0.042910445407197836)    0.042910445407197836
coupled_cpl extractionPatterns(cityLocatedInCountry, arg1 became the
largest city in arg2 0.041095896677272314)     0.041095896677272314
coupled_cpl extractionPatterns(cityLocatedInCountry, arg1 becomes the
capital of arg2 0.08988762499346685)     0.08988762499346685
coupled_cpl extractionPatterns(cityLocatedInCountry, arg1 being the
capital of arg2 0.06741572362948918)     0.06741572362948918
coupled_cpl extractionPatterns(cityLocatedInCountry, arg1 but also
throughout arg2 0.030927825458824366)    0.030927825458824366
coupled_cpl extractionPatterns(cityLocatedInCountry, arg1 has been the
capital of arg2 0.046874990376167956)    0.046874990376167956
coupled_cpl extractionPatterns(cityLocatedInCountry, arg1 is a capital of
arg2 0.06849311840509602)    0.06849311840509602
coupled_cpl extractionPatterns(cityLocatedInCountry, arg1 is also the
capital of arg2 0.0547945249330687)      0.0547945249330687
coupled_cpl extractionPatterns(cityLocatedInCountry, arg1 is capital of
arg2 0.1052631366954227)     0.1052631366954227
coupled_cpl extractionPatterns(cityLocatedInCountry, arg1 is the capital
city of arg2 0.0956113253439899) 0.0956113253439899
coupled_cpl extractionPatterns(cityLocatedInCountry, arg1 is the capital
of arg2 0.08382298710341504) 0.08382298710341504
coupled_cpl extractionPatterns(cityLocatedInCountry, arg1 is the
commercial capital of arg2 0.19298245518242063)      0.19298245518242063
coupled_cpl extractionPatterns(cityLocatedInCountry, arg1 is the
financial capital of arg2 0.07352939652514912)       0.07352939652514912
coupled_cpl extractionPatterns(cityLocatedInCountry, arg1 is the largest
city of arg2 0.05882354965036912) 0.05882354965036912
coupled_cpl extractionPatterns(cityLocatedInCountry, arg1 is the only
city in arg2 0.014925367453597592) 0.014925367453597592
coupled_cpl extractionPatterns(cityLocatedInCountry, arg1 is the
political center of arg2 0.046874990376167956)       0.046874990376167956
coupled_cpl extractionPatterns(cityLocatedInCountry, arg1 served as the
capital of arg2 0.11666671486946849)     0.11666671486946849
coupled_cpl extractionPatterns(cityLocatedInCountry, arg1 the capital
city of arg2 0.05882354965036912) 0.05882354965036912
coupled_cpl extractionPatterns(cityLocatedInCountry, arg1 The capital
city of arg2 0.06521739833615159) 0.06521739833615159
coupled_cpl extractionPatterns(cityLocatedInCountry, arg1 the capital of
arg2 0.07338307175512745)    0.07338307175512745
coupled_cpl extractionPatterns(cityLocatedInCountry, arg1 the capitol of
arg2 0.041095896677272314)   0.041095896677272314
coupled_cpl extractionPatterns(cityLocatedInCountry, arg1 The second
largest city in arg2 0.02941175072400807)      0.02941175072400807
coupled_cpl extractionPatterns(cityLocatedInCountry, arg1 was the largest
city in arg2 0.044117665434180164) 0.044117665434180164
coupled_cpl extractionPatterns(cityLocatedInCountry, arg2 Airways flies
from arg1 0.06249998263998874)     0.06249998263998874
coupled_cpl extractionPatterns(cityLocatedInCountry, arg2 and its capital
arg1 0.06410255860612148)    0.06410255860612148
coupled_cpl extractionPatterns(cityLocatedInCountry, arg2 and sacked arg1
0.060869563957874434) 0.060869563957874434
coupled_cpl extractionPatterns(cityLocatedInCountry, arg2 in DDDD and
lived in arg1 0.017964063300875903)      0.017964063300875903
coupled_cpl extractionPatterns(cityLocatedInCountry, arg2 in DDDD and
settled in arg1 0.0312499969624916)      0.0312499969624916
coupled_cpl extractionPatterns(cityLocatedInCountry, arg2 Local time in
arg1 0.040540532616327535)   0.040540532616327535
coupled_cpl extractionPatterns(cityLocatedInState, arg1 and across the
state of arg2 0.14999999773288222) 0.14999999773288222
coupled_cpl extractionPatterns(cityLocatedInState, arg1 and other areas
throughout arg2 0.14999999773288222)     0.14999999773288222
coupled_cpl extractionPatterns(cityLocatedInState, arg1 and serving all
of arg2 0.11111106414847875) 0.11111106414847875
coupled_cpl extractionPatterns(cityLocatedInState, arg1 and the entire
state of arg2 0.06521739833615159) 0.06521739833615159
coupled_cpl extractionPatterns(cityLocatedInState, arg1 and the great
state of arg2 0.3500000435745399) 0.3500000435745399
coupled_cpl extractionPatterns(cityLocatedInState, arg1 and throughout
the state of arg2 0.14285716415076063) 0.14285716415076063
coupled_cpl extractionPatterns(cityLocatedInState, arg1 and to the state
of arg2 0.11111106414847875) 0.11111106414847875
coupled_cpl extractionPatterns(cityLocatedInState, arg1 area and the rest
of arg2 0.11111106414847875) 0.11111106414847875
coupled_cpl extractionPatterns(cityLocatedInState, arg1 area and the
state of arg2 0.13888889250305694) 0.13888889250305694
coupled_cpl extractionPatterns(cityLocatedInState, arg1 area and western
arg2 0.11111106414847875)    0.11111106414847875
coupled_cpl extractionPatterns(cityLocatedInState, arg1 Honda dealer in
arg2 0.08333330414900512)    0.08333330414900512
coupled_cpl extractionPatterns(cityLocatedInState, arg1 is the capitol of
arg2 0.041095896677272314)   0.041095896677272314
coupled_cpl extractionPatterns(cityLocatedInState, arg1 Metro area and
arg2 0.08333330414900512)    0.08333330414900512
coupled_cpl extractionPatterns(cityLocatedInState, arg1 Metro area in
arg2 0.08333330414900512)    0.08333330414900512
coupled_cpl extractionPatterns(cityLocatedInState, arg1 metro area in
arg2 0.11111106414847875)    0.11111106414847875
coupled_cpl extractionPatterns(cityLocatedInState, arg1 Metro area of
arg2 0.13888889250305694)    0.13888889250305694
coupled_cpl extractionPatterns(cityLocatedInState, arg1 metropolitan area
and throughout arg2 0.11111106414847875)       0.11111106414847875
coupled_cpl extractionPatterns(cityLocatedInState, arg1 Schools and the
state of arg2 0.027397267413383004)      0.027397267413383004
coupled_cpl extractionPatterns(cityLocatedInState, arg1 Toyota dealer in
arg2 0.11111106414847875)    0.11111106414847875
coupled_cpl extractionPatterns(cityLocatedInState, arg1 wedding limousine
service companies in arg2 0.19999998248682085)       0.19999998248682085
coupled_cpl extractionPatterns(cityLocatedInState, arg2 access numbers in
arg1 0.11627909340226542)    0.11627909340226542
coupled_cpl extractionPatterns(cityLocatedInState, arg2 approximately DD
miles east of arg1 0.11999994434402382) 0.11999994434402382
coupled_cpl extractionPatterns(cityLocatedInState, arg2 approximately DD
miles south of arg1 0.03658536433888332)       0.03658536433888332
coupled_cpl extractionPatterns(cityLocatedInState, arg2 area code DDD
connections in arg1 0.10256413179587653)       0.10256413179587653
coupled_cpl extractionPatterns(cityLocatedInState, arg2 a suburb of arg1
0.1465517017228683)    0.1465517017228683
coupled_cpl extractionPatterns(cityLocatedInState, arg2 chocolate
fountain rentals in arg1 0.08163264791761125) 0.08163264791761125
coupled_cpl extractionPatterns(cityLocatedInState, arg2 chocolate
fountain rentals including arg1 0.041095896677272314)
      0.041095896677272314
coupled_cpl extractionPatterns(cityLocatedInState, arg2 connection
numbers in arg1 0.14999999773288222)     0.14999999773288222
coupled_cpl extractionPatterns(cityLocatedInState, arg2 Convention Center
in downtown arg1 0.18840582482267443)    0.18840582482267443
coupled_cpl extractionPatterns(cityLocatedInState, arg2 corporation
located in arg1 0.08163264791761125)     0.08163264791761125
coupled_cpl extractionPatterns(cityLocatedInState, arg2 Democratic Party
convention in arg1 0.13888889250305694) 0.13888889250305694
coupled_cpl extractionPatterns(cityLocatedInState, arg2 dialup
connections in arg1 0.1282050940635361) 0.1282050940635361
coupled_cpl extractionPatterns(cityLocatedInState, arg2 dial up numbers
in arg1 0.16279069224343598) 0.16279069224343598
coupled_cpl extractionPatterns(cityLocatedInState, arg2 Home inspection
for arg1 0.13888889250305694)      0.13888889250305694
coupled_cpl extractionPatterns(cityLocatedInState, arg2 Hotels Planning
your trip to arg1 0.13043477312100557) 0.13043477312100557
coupled_cpl extractionPatterns(cityLocatedInState, arg2 including cities
such as arg1 0.08928569449116727) 0.08928569449116727
coupled_cpl extractionPatterns(cityLocatedInState, arg2 internet access
numbers in arg1 0.13888889250305694)     0.13888889250305694
coupled_cpl extractionPatterns(cityLocatedInState, arg2 map include arg1
0.2777777348505767)    0.2777777348505767
coupled_cpl extractionPatterns(cityLocatedInState, arg2 native who grew
up in arg1 0.10256413179587653)    0.10256413179587653
coupled_cpl extractionPatterns(cityLocatedInState, arg2 Oakwood found DD
properties in arg1 0.16666674487136082) 0.16666674487136082
coupled_cpl extractionPatterns(cityLocatedInState, arg2 outside metro
arg1 0.16666674487136082)    0.16666674487136082
coupled_cpl extractionPatterns(cityLocatedInState, arg2 Real Estate areas
include arg1 0.11111106414847875) 0.11111106414847875
coupled_cpl extractionPatterns(cityLocatedInState, arg2 singles go here
for arg1 0.1521739506964497) 0.1521739506964497
coupled_cpl extractionPatterns(cityLocatedInState, arg2 state court in
arg1 0.11627909340226542)    0.11627909340226542
coupled_cpl extractionPatterns(cityLocatedInState, arg2 survey excludes
students from arg1 0.16666674487136082) 0.16666674487136082
coupled_cpl extractionPatterns(cityLocatedInState, arg2 The table below
shows arg1 0.1419354361183337)     0.1419354361183337
coupled_cpl extractionPatterns(cityLocatedInState, arg2 USA covering arg1
0.03319503375305878)    0.03319503375305878
coupled_cpl extractionPatterns(cityLocatedInState, arg2 which is a suburb
of arg1 0.13461532666698936) 0.13461532666698936
coupled_cpl extractionPatterns(cityLocatedInState, arg2 which is just
north of arg1 0.09259260501205399) 0.09259260501205399
coupled_cpl extractionPatterns(cityLocatedInState, arg2 which is just
south of arg1 0.08888890032448334) 0.08888890032448334
coupled_cpl extractionPatterns(city, old city of _ 0.47076935361049976)
      0.47076935361049976
coupled_cpl extractionPatterns(city, organization based in _
0.2849621256501743)     0.2849621256501743
coupled_cpl extractionPatterns(city, photographer based in _
0.5188813679890366)     0.5188813679890366
coupled_cpl extractionPatterns(city, private practice in _
0.46258497924475706)    0.46258497924475706
coupled_cpl extractionPatterns(city, regional office in _
0.488111702869352)      0.488111702869352
coupled_cpl extractionPatterns(city, slums of _ 0.45914831259131517)
      0.45914831259131517
coupled_cpl extractionPatterns(city, start near _ 0.4908439610328336)
      0.4908439610328336
coupled_cpl extractionPatterns(city, suburb of _ 0.4613215378701711)
      0.4613215378701711
coupled_cpl extractionPatterns(city, suburbs of _ 0.329011030968239)
      0.329011030968239
coupled_cpl extractionPatterns(city, team based in _ 0.4243392609264633)
      0.4243392609264633
coupled_cpl extractionPatterns(city, train ride from _
0.4823530327203187)     0.4823530327203187
coupled_cpl extractionPatterns(city, writer based in _ 0.325646448477121)
      0.325646448477121
coupled_cpl extractionPatterns(city, writer living in _
0.5113709615508166)     0.5113709615508166
coupled_cpl extractionPatterns(clothing, _ affecting the parent-child
relationship 0.9032255303445063) 0.9032255303445063
coupled_cpl extractionPatterns(clothing, blazer , white _
0.833332963995044)      0.833332963995044
coupled_cpl extractionPatterns(clothing, blouse , grey _
0.833332963995044)      0.833332963995044
coupled_cpl extractionPatterns(clothing, boots , blue _
0.8518515537677975)     0.8518515537677975
coupled_cpl extractionPatterns(clothing, boots , long _
0.8113205907154516)     0.8113205907154516
coupled_cpl extractionPatterns(clothing, clothing such as long _
0.9411761146508295)     0.9411761146508295
coupled_cpl extractionPatterns(clothing, clothing with long _
0.9117649977665605)     0.9117649977665605
coupled_cpl extractionPatterns(clothing, code is black _
0.8181815690145253)     0.8181815690145253
coupled_cpl extractionPatterns(clothing, dresses , formal _
0.5000000902799808)     0.5000000902799808
coupled_cpl extractionPatterns(clothing, dresses prom _
0.512711997419056)      0.512711997419056
coupled_cpl extractionPatterns(clothing, dress with detachable _
0.8823530673123673)     0.8823530673123673
coupled_cpl extractionPatterns(clothing, dry pair of _
0.5569621470398292)     0.5569621470398292
coupled_cpl extractionPatterns(clothing, eye protection , long _
0.9166670122405591)     0.9166670122405591
coupled_cpl extractionPatterns(clothing, gloves , long _
0.7894735089980961)     0.7894735089980961
coupled_cpl extractionPatterns(clothing, hats , long _
0.7999996410514483)     0.7999996410514483
coupled_cpl extractionPatterns(clothing, jacket , blue _
0.6885247594652275)     0.6885247594652275
coupled_cpl extractionPatterns(clothing, jacket , long _
0.7999996410514483)     0.7999996410514483
coupled_cpl extractionPatterns(clothing, long pants , long _
0.880597169457171)      0.880597169457171
coupled_cpl extractionPatterns(clothing, long pants , sturdy _
0.7894735089980961)     0.7894735089980961
coupled_cpl extractionPatterns(clothing, long sleeves , long _
0.9767446718891476)     0.9767446718891476
coupled_cpl extractionPatterns(clothing, men in dark _
0.6756757349838024)     0.6756757349838024
coupled_cpl extractionPatterns(clothing, men in short _
0.7857143303561276)     0.7857143303561276
coupled_cpl extractionPatterns(clothing, pair of dry _
0.6718749782756677)     0.6718749782756677
coupled_cpl extractionPatterns(clothing, pants , white _
0.5514704626101659)     0.5514704626101659
coupled_cpl extractionPatterns(clothing, scientists in white _
0.821428813130723)      0.821428813130723
coupled_cpl extractionPatterns(clothing, shirt , baggy _
0.7894735089980961)     0.7894735089980961
coupled_cpl extractionPatterns(clothing, shirt , blue _
0.7176473403687296)     0.7176473403687296
coupled_cpl extractionPatterns(clothing, shirt , dark blue _
0.8181815690145253)     0.8181815690145253
coupled_cpl extractionPatterns(clothing, shirt , long _
0.8705883774491275)     0.8705883774491275
coupled_cpl extractionPatterns(clothing, shirts , black _
0.6966292028156966)     0.6966292028156966
coupled_cpl extractionPatterns(clothing, shirts , long _
0.7439027240067309)     0.7439027240067309
coupled_cpl extractionPatterns(clothing, shirts , short _
0.8421054795172145)     0.8421054795172145
coupled_cpl extractionPatterns(clothing, shirt with long _
0.80357159006104) 0.80357159006104
coupled_cpl extractionPatterns(clothing, shirt with short _
0.8750003435465248)     0.8750003435465248
coupled_cpl extractionPatterns(clothing, shoes , bathing _
0.8421054795172145)     0.8421054795172145
coupled_cpl extractionPatterns(clothing, shoes , long _
0.8133335361485979)     0.8133335361485979
coupled_cpl extractionPatterns(clothing, shorts , bathing _
0.8857141590609316)     0.8857141590609316
coupled_cpl extractionPatterns(clothing, shorts , short _
0.7999996410514483)     0.7999996410514483
coupled_cpl extractionPatterns(clothing, shorts , tee _
0.9687497077422937)     0.9687497077422937
coupled_cpl extractionPatterns(clothing, silk long _ 0.862068969929546)
      0.862068969929546
coupled_cpl extractionPatterns(clothing, silk walking _
0.8181815690145253)     0.8181815690145253
coupled_cpl extractionPatterns(clothing, slacks , dark _
0.9230766532371499)     0.9230766532371499
coupled_cpl extractionPatterns(clothing, socks , long _
0.9038462594798972)     0.9038462594798972
coupled_cpl extractionPatterns(clothing, suit , white _
0.7934783687037833)     0.7934783687037833
coupled_cpl extractionPatterns(clothing, super size gothic _
0.7857143303561276)     0.7857143303561276
coupled_cpl extractionPatterns(clothing, supersize gothic _
0.8181815690145253)     0.8181815690145253
coupled_cpl extractionPatterns(clothing, ties , black _
0.833332963995044)      0.833332963995044
coupled_cpl extractionPatterns(clothing, tops , short _
0.8163264032626143)     0.8163264032626143
coupled_cpl extractionPatterns(clothing, wear long _ 0.7837838485695908)
      0.7837838485695908
coupled_cpl extractionPatterns(clothing, white button down _
0.8113205907154516)     0.8113205907154516
coupled_cpl extractionPatterns(coach, alum like _ 0.12499994270999265)
      0.12499994270999265
coupled_cpl extractionPatterns(coach, basketball program under _
0.23076924664463755)    0.23076924664463755
coupled_cpl extractionPatterns(coach, _ became head coach
0.03267973885484756)    0.03267973885484756
coupled_cpl extractionPatterns(coach, _ became the first black head coach
0.18181819858880538)    0.18181819858880538
coupled_cpl extractionPatterns(coach, better coach than _
0.07500001240843804)    0.07500001240843804
coupled_cpl extractionPatterns(coach, _ challenged the play
0.07500001240843804)    0.07500001240843804
coupled_cpl extractionPatterns(coach, _ coached receivers
0.14285716415076063)    0.14285716415076063
coupled_cpl extractionPatterns(coach, _ coached team 0.15116278144529824)
      0.15116278144529824
coupled_cpl extractionPatterns(coach, coach named _ 0.033333346055407616)
      0.033333346055407616
coupled_cpl extractionPatterns(coach, coach other than _
0.250000090279989)      0.250000090279989
coupled_cpl extractionPatterns(coach, coach such as _
0.19047620506734006)    0.19047620506734006
coupled_cpl extractionPatterns(coach, defensive assistant under _
0.30769230656666036)    0.30769230656666036
coupled_cpl extractionPatterns(coach, defensive coordinator under _
0.16666674487136082)    0.16666674487136082
coupled_cpl extractionPatterns(coachesTeam, arg1 guided arg2
7.667238143735149E-5) 7.667238143735149E-5
coupled_cpl extractionPatterns(coachesTeam, arg1 has led arg2
1.8735356581488303E-4) 1.8735356581488303E-4
coupled_cpl extractionPatterns(coachesTeam, arg1 has taken arg2
4.536997569477129E-5) 4.536997569477129E-5
coupled_cpl extractionPatterns(coachesTeam, arg1 is leaving arg2
9.620010652218122E-4) 9.620010652218122E-4
coupled_cpl extractionPatterns(coachesTeam, arg1 is sticking with arg2
0.01731602336626777)   0.01731602336626777
coupled_cpl extractionPatterns(coachesTeam, arg1 led arg2
1.1717605623843172E-4) 1.1717605623843172E-4
coupled_cpl extractionPatterns(coachesTeam, arg1 led the arg2
1.803621110199924E-4) 1.803621110199924E-4
coupled_cpl extractionPatterns(coachesTeam, arg1 left for arg2
1.869158579233767E-4) 1.869158579233767E-4
coupled_cpl extractionPatterns(coachesTeam, arg1 took over arg2
1.8735356581488303E-4) 1.8735356581488303E-4
coupled_cpl extractionPatterns(coachesTeam, arg1 was named head coach of
arg2 0.008658004588415225)   0.008658004588415225
coupled_cpl extractionPatterns(coachesTeam, arg2 after coach arg1
0.02164501727462583)   0.02164501727462583
coupled_cpl extractionPatterns(coachesTeam, arg2 and coach arg1
0.003077976125787042) 0.003077976125787042
coupled_cpl extractionPatterns(coachesTeam, arg2 and head coach arg1
0.025000011352850984) 0.025000011352850984
coupled_cpl extractionPatterns(coachesTeam, arg2 are coached by arg1
0.0018552867734862504) 0.0018552867734862504
coupled_cpl extractionPatterns(coachesTeam, arg2 basketball coach arg1
0.0027829326423031726) 0.0027829326423031726
coupled_cpl extractionPatterns(coachesTeam, arg2 coach and general
manager arg1 0.003724394465359119) 0.003724394465359119
coupled_cpl extractionPatterns(coachesTeam, arg2 coach arg1
0.004002120233174086) 0.004002120233174086
coupled_cpl extractionPatterns(coachesTeam, arg2 fire arg1
5.177992666097682E-5) 5.177992666097682E-5
coupled_cpl extractionPatterns(coachesTeam, arg2 fired arg1
2.5397899276897334E-4) 2.5397899276897334E-4
coupled_cpl extractionPatterns(coachesTeam, arg2 football coach arg1
0.028430152195273044) 0.028430152195273044
coupled_cpl extractionPatterns(coachesTeam, arg2 general manager arg1
0.0029726513914946364) 0.0029726513914946364
coupled_cpl extractionPatterns(coachesTeam, arg2 head coach arg1
0.0048076926908717345) 0.0048076926908717345
coupled_cpl extractionPatterns(coachesTeam, arg2 head coach is arg1
0.008658004588415225) 0.008658004588415225
coupled_cpl extractionPatterns(coachesTeam, arg2 head football coach arg1
0.016759768444236232) 0.016759768444236232
coupled_cpl extractionPatterns(coachesTeam, arg2 hired arg1
6.550395123172349E-4) 6.550395123172349E-4
coupled_cpl extractionPatterns(coachesTeam, arg2 signed coach arg1
0.011173180170736085) 0.011173180170736085
coupled_cpl extractionPatterns(coachesTeam, arg2 under coach arg1
0.0018552867734862504) 0.0018552867734862504
coupled_cpl extractionPatterns(coachesTeam, arg2 under head coach arg1
0.00651465515978727)   0.00651465515978727
coupled_cpl extractionPatterns(coachesTeam, arg2 with coach arg1
0.007614210309364691) 0.007614210309364691
coupled_cpl extractionPatterns(coach, first coach since _
0.18750008129470605)   0.18750008129470605
coupled_cpl extractionPatterns(coach, great coach in _
0.2105262353782364)    0.2105262353782364
coupled_cpl extractionPatterns(coach, _ has been hearing questions
0.43749981326824455)   0.43749981326824455
coupled_cpl extractionPatterns(coach, _ has some thinking
0.18181819858880538)   0.18181819858880538
coupled_cpl extractionPatterns(coach, _ has this team
0.05000001367770143)   0.05000001367770143
coupled_cpl extractionPatterns(coach, head coach is _
0.043062186945731114) 0.043062186945731114
coupled_cpl extractionPatterns(coach, head coach like _
0.21428572306010352)   0.21428572306010352
coupled_cpl extractionPatterns(coach, interim coach after _
0.21428572306010352)   0.21428572306010352
coupled_cpl extractionPatterns(coach, _ is a bad coach
0.18750008129470605)   0.18750008129470605
coupled_cpl extractionPatterns(coach, _ is a better coach
0.16129036968565943)   0.16129036968565943
coupled_cpl extractionPatterns(coach, _ is a defensive guy
0.18181819858880538)   0.18181819858880538
coupled_cpl extractionPatterns(coach, _ is a former coach
0.05000001367770143)   0.05000001367770143
coupled_cpl extractionPatterns(coach, _ is a great basketball coach
0.21428572306010352)   0.21428572306010352
coupled_cpl extractionPatterns(coach, _ is a great coach
0.04301075836702684)   0.04301075836702684
coupled_cpl extractionPatterns(coach, _ is a helluva coach
0.05000001367770143)   0.05000001367770143
coupled_cpl extractionPatterns(coach, _ is a married woman
0.3520972018094388)    0.3520972018094388
coupled_cpl extractionPatterns(coach, _ is a mediocre coach
0.12499994270999265)   0.12499994270999265
coupled_cpl extractionPatterns(coach, _ is an excellent coach
0.12195123832563648)   0.12195123832563648
coupled_cpl extractionPatterns(coach, _ is an excellent recruiter
0.14285716415076063)   0.14285716415076063
coupled_cpl extractionPatterns(coach, _ is another coach
0.23076924664463755)   0.23076924664463755
coupled_cpl extractionPatterns(coach, _ is a setter 0.18181819858880538)
      0.18181819858880538
coupled_cpl extractionPatterns(coach, _ is a terrible coach
0.2727272683991621)    0.2727272683991621
coupled_cpl extractionPatterns(coach, _ is the current coach
0.14285716415076063)   0.14285716415076063
coupled_cpl extractionPatterns(coach, _ is the new coach
0.12121214549655876)   0.12121214549655876
coupled_cpl extractionPatterns(coach, _ is the new head coach
0.13333333607230202)   0.13333333607230202
coupled_cpl extractionPatterns(coach, _ is the only coach
0.1411764150638673)    0.1411764150638673
coupled_cpl extractionPatterns(coach, _ is the right coach
0.14285716415076063)   0.14285716415076063
coupled_cpl extractionPatterns(coach, job vacated by _
0.12499994270999265)   0.12499994270999265
coupled_cpl extractionPatterns(coach, _ knows this team
0.12499994270999265)   0.12499994270999265
coupled_cpl extractionPatterns(coach, _ led the Steelers
0.16129036968565943)   0.16129036968565943
coupled_cpl extractionPatterns(coach, _ made this team
0.16666674487136082)   0.16666674487136082
coupled_cpl extractionPatterns(coach, _ re-entered the building
0.17647059800966608)   0.17647059800966608
coupled_cpl extractionPatterns(coach, _ resigns as 0.13333333607230202)
      0.13333333607230202
coupled_cpl extractionPatterns(coach, teams coached by _
0.07500001240843804)   0.07500001240843804
coupled_cpl extractionPatterns(coach, _ was a better coach
0.21428572306010352)   0.21428572306010352
coupled_cpl extractionPatterns(coach, _ was named the new head coach
0.22222231039474505)   0.22222231039474505
coupled_cpl extractionPatterns(coach, _ was ticked at
0.12499994270999265)   0.12499994270999265
coupled_cpl extractionPatterns(company, brands including _
0.3148540754596957)    0.3148540754596957
coupled_cpl extractionPatterns(company, carriers such as _
0.248397498357024)     0.248397498357024
coupled_cpl extractionPatterns(company, chains such as _
0.22492393513535958)   0.22492393513535958
coupled_cpl extractionPatterns(company, clients such as _
0.21965942506748715)   0.21965942506748715
coupled_cpl extractionPatterns(company, companies including _
0.2206454862679393)    0.2206454862679393
coupled_cpl extractionPatterns(company, companies , like _
0.21822972208235777)   0.21822972208235777
coupled_cpl extractionPatterns(company, company like _
0.1533742907881338)    0.1533742907881338
coupled_cpl extractionPatterns(company, company such as _
0.22131151496460225)   0.22131151496460225
coupled_cpl extractionPatterns(company, company was acquired by _
0.2238095079207066)    0.2238095079207066
coupled_cpl extractionPatterns(company, competitors like _
0.22005208734369425)   0.22005208734369425
coupled_cpl extractionPatterns(company, competitors such as _
0.21870510698880924)   0.21870510698880924
coupled_cpl extractionPatterns(company, corporation like _
0.20907295937827758)   0.20907295937827758
coupled_cpl extractionPatterns(company, corporations including _
0.22075053851985532)   0.22075053851985532
coupled_cpl extractionPatterns(company, corporations like _
0.29509557265772185)   0.29509557265772185
coupled_cpl extractionPatterns(company, corporations , such as _
0.2342995158121434)    0.2342995158121434
coupled_cpl extractionPatterns(company, corporations such as _
0.2761748774401347)    0.2761748774401347
coupled_cpl extractionPatterns(company, distribution deal with _
0.22469642725140862)   0.22469642725140862
coupled_cpl extractionPatterns(companyEconomicSector, arg1 mainframe arg2
0.0395569449872923)    0.0395569449872923
coupled_cpl extractionPatterns(companyEconomicSector, arg1 or compatible
arg2 0.019230763818874366)   0.019230763818874366
coupled_cpl extractionPatterns(companyEconomicSector, arg1 systems
management arg2 0.020270269968162273)    0.020270269968162273
coupled_cpl extractionPatterns(companyEconomicSector, arg2 architect at
arg1 0.03395585433268591)    0.03395585433268591
coupled_cpl extractionPatterns(companyEconomicSector, arg2 behemoth arg1
0.026098902900514708) 0.026098902900514708
coupled_cpl extractionPatterns(companyEconomicSector, arg2 companies from
arg1 4.69263084044432E-4)    4.69263084044432E-4
coupled_cpl extractionPatterns(companyEconomicSector, arg2 companies
including arg1 0.021047910235610187)     0.021047910235610187
coupled_cpl extractionPatterns(companyEconomicSector, arg2 companies like
arg1 9.300594956927881E-4)   9.300594956927881E-4
coupled_cpl extractionPatterns(companyEconomicSector, arg2 companies such
as arg1 3.838034443865965E-4)      3.838034443865965E-4
coupled_cpl extractionPatterns(companyEconomicSector, arg2 company arg1
7.10327869134939E-5)   7.10327869134939E-5
coupled_cpl extractionPatterns(companyEconomicSector, arg2 company like
arg1 0.027186765135428996)   0.027186765135428996
coupled_cpl extractionPatterns(companyEconomicSector, arg2 company such
as arg1 0.0190336654867085) 0.0190336654867085
coupled_cpl extractionPatterns(companyEconomicSector, arg2 conglomerate
arg1 0.037937735598768355)   0.037937735598768355
coupled_cpl extractionPatterns(companyEconomicSector, arg2 corporations
such as arg1 0.020036433252865058) 0.020036433252865058
coupled_cpl extractionPatterns(companyEconomicSector, arg2 donated by
arg1 9.37338663678089E-5)    9.37338663678089E-5
coupled_cpl extractionPatterns(companyEconomicSector, arg2 engineer at
arg1 0.026666664879369802)   0.026666664879369802
coupled_cpl extractionPatterns(companyEconomicSector, arg2 engineer for
arg1 0.019490853007533393)   0.019490853007533393
coupled_cpl extractionPatterns(companyEconomicSector, arg2 engineers at
arg1 0.028318584323020455)   0.028318584323020455
coupled_cpl extractionPatterns(companyEconomicSector, arg2 engineer with
arg1 0.02099928267868446)    0.02099928267868446
coupled_cpl extractionPatterns(companyEconomicSector, arg2 evangelist at
arg1 0.020316031003116054)   0.020316031003116054
coupled_cpl extractionPatterns(companyEconomicSector, arg2 evangelist for
arg1 0.020316031003116054)   0.020316031003116054
coupled_cpl extractionPatterns(companyEconomicSector, arg2 firm arg1
1.7289069222659555E-4) 1.7289069222659555E-4
coupled_cpl extractionPatterns(companyEconomicSector, arg2 firms like
arg1 0.02083333356058106)    0.02083333356058106
coupled_cpl extractionPatterns(companyEconomicSector, arg2 firms such as
arg1 0.01668653787357361)    0.01668653787357361
coupled_cpl extractionPatterns(companyEconomicSector, arg2 giant arg1
0.0012666597011818338) 0.0012666597011818338
coupled_cpl extractionPatterns(companyEconomicSector, arg2 giant like
arg1 0.019117655484137158)   0.019117655484137158
coupled_cpl extractionPatterns(companyEconomicSector, arg2 giants arg1
0.020147420775463352) 0.020147420775463352
coupled_cpl extractionPatterns(companyEconomicSector, arg2 giants as arg1
0.022587265612169474) 0.022587265612169474
coupled_cpl extractionPatterns(companyEconomicSector, arg2 giants
including arg1 0.023679419112247666)     0.023679419112247666
coupled_cpl extractionPatterns(companyEconomicSector, arg2 giants like
arg1 0.04774194105579069)    0.04774194105579069
coupled_cpl extractionPatterns(companyEconomicSector, arg2 giants such as
arg1 0.028340086287484904)   0.028340086287484904
coupled_cpl extractionPatterns(companyEconomicSector, arg2 heavyweights
arg1 0.020316031003116054)   0.020316031003116054
coupled_cpl extractionPatterns(companyEconomicSector, arg2 heavyweights
such as arg1 0.020533881521325348) 0.020533881521325348
coupled_cpl extractionPatterns(companyEconomicSector, arg2 leaders
including arg1 0.02083333356058106)      0.02083333356058106
coupled_cpl extractionPatterns(companyEconomicSector, arg2 leaders like
arg1 0.025552477507703942)   0.025552477507703942
coupled_cpl extractionPatterns(companyEconomicSector, arg2 leaders such
as arg1 0.03145057540929616) 0.03145057540929616
coupled_cpl extractionPatterns(companyEconomicSector, arg2 makers like
arg1 0.0190336654867085)     0.0190336654867085
coupled_cpl extractionPatterns(companyEconomicSector, arg2 makers such as
arg1 0.02861231670042716)    0.02861231670042716
coupled_cpl extractionPatterns(companyEconomicSector, arg2 manufacturers
including arg1 0.019230763818874366)     0.019230763818874366
coupled_cpl extractionPatterns(companyEconomicSector, arg2 manufacturers
such as arg1 9.385269371551135E-4) 9.385269371551135E-4
coupled_cpl extractionPatterns(companyEconomicSector, arg2 outlets like
arg1 0.0190336654867085)     0.0190336654867085
coupled_cpl extractionPatterns(companyEconomicSector, arg2 outlets such
as arg1 0.021961925149384443)      0.021961925149384443
coupled_cpl extractionPatterns(companyEconomicSector, arg2 players such
as arg1 0.0196749308361744) 0.0196749308361744
coupled_cpl extractionPatterns(companyEconomicSector, arg2 search leader
arg1 0.04553732316217683)    0.04553732316217683
coupled_cpl extractionPatterns(companyEconomicSector, arg2 software
company arg1 0.021857918944733372) 0.021857918944733372
coupled_cpl extractionPatterns(companyEconomicSector, arg2 vendors
including arg1 0.025641016567428433)     0.025641016567428433
coupled_cpl extractionPatterns(companyEconomicSector, arg2 vendors like
arg1 0.019230763818874366)   0.019230763818874366
coupled_cpl extractionPatterns(companyEconomicSector, arg2 vendors such
as arg1 0.02488686810423856) 0.02488686810423856
coupled_cpl extractionPatterns(company, execs at _ 0.2342995158121434)
      0.2342995158121434
coupled_cpl extractionPatterns(company, firms like _ 0.2297388614722344)
      0.2297388614722344
coupled_cpl extractionPatterns(company, firms such as _
0.21208227287382908)   0.21208227287382908
coupled_cpl extractionPatterns(company, giant like _ 0.20959587648235048)
      0.20959587648235048
coupled_cpl extractionPatterns(company, giants like _
0.14844273767295413)   0.14844273767295413
coupled_cpl extractionPatterns(company, giants such as _
0.25874868927998174)   0.25874868927998174
coupled_cpl extractionPatterns(company, _ has no responsibility
0.22804643693459578)   0.22804643693459578
coupled_cpl extractionPatterns(company, industry leaders such as _
0.2702169835375531)    0.2702169835375531
coupled_cpl extractionPatterns(company, _ is a great company
0.2255771612673409)    0.2255771612673409
coupled_cpl extractionPatterns(company, makers like _
0.21780611340145428)   0.21780611340145428
coupled_cpl extractionPatterns(company, makers such as _
0.22983261405194078)   0.22983261405194078
coupled_cpl extractionPatterns(company, manufacturers , including _
0.21848738514572486)   0.21848738514572486
coupled_cpl extractionPatterns(company, manufacturers including _
0.2273189912818352)    0.2273189912818352
coupled_cpl extractionPatterns(company, manufacturers like _
0.20502896851453953)   0.20502896851453953
coupled_cpl extractionPatterns(company, manufacturers such as _
0.13582676390886705)   0.13582676390886705
coupled_cpl extractionPatterns(company, manufacturers , such as _
0.20710051994189463)   0.20710051994189463
coupled_cpl extractionPatterns(company, product manager at _
0.2472406809471365)    0.2472406809471365
coupled_cpl extractionPatterns(company, providers like _
0.22567282626326418)   0.22567282626326418
coupled_cpl extractionPatterns(company, retailers , including _
0.24000008535365014)   0.24000008535365014
coupled_cpl extractionPatterns(company, retailers including _
0.28045331578774535)   0.28045331578774535
coupled_cpl extractionPatterns(company, retailers like _
0.3153383782650413)    0.3153383782650413
coupled_cpl extractionPatterns(company, retailers , such as _
0.25212456702806607)   0.25212456702806607
coupled_cpl extractionPatterns(company, retailers such as _
0.30948272631444584)   0.30948272631444584
coupled_cpl extractionPatterns(company, rivals such as _
0.21955708762188245)   0.21955708762188245
coupled_cpl extractionPatterns(company, software engineer at _
0.22437668724791515)   0.22437668724791515
coupled_cpl extractionPatterns(company, stores like _
0.22681739784401367)   0.22681739784401367
coupled_cpl extractionPatterns(company, stores such as _
0.22864584521072007)   0.22864584521072007
coupled_cpl extractionPatterns(company, such clients as _
0.21978027098085412)   0.21978027098085412
coupled_cpl extractionPatterns(company, vendors , including _
0.23066288653982217)   0.23066288653982217
coupled_cpl extractionPatterns(company, vendors including _
0.2359736813213767)    0.2359736813213767
coupled_cpl extractionPatterns(company, vendors like _
0.2624223631826651)    0.2624223631826651
coupled_cpl extractionPatterns(company, vendors such as _
0.15064638646292622)   0.15064638646292622
coupled_cpl extractionPatterns(company, vendors , such as _
0.2204408222354815)    0.2204408222354815
coupled_cpl extractionPatterns(competesWith, arg1 archrival arg2
0.014005600411002066) 0.014005600411002066
coupled_cpl extractionPatterns(competesWith, arg1 countered arg2
0.006359299812912911) 0.006359299812912911
coupled_cpl extractionPatterns(competesWith, arg1 had approached arg2
0.006359299812912911) 0.006359299812912911
coupled_cpl extractionPatterns(competesWith, arg1 has beat arg2
0.010335920743255263) 0.010335920743255263
coupled_cpl extractionPatterns(competesWith, arg1 has beaten arg2
0.012939003527797114) 0.012939003527797114
coupled_cpl extractionPatterns(competesWith, arg1 has overtaken arg2
0.006359299812912911) 0.006359299812912911
coupled_cpl extractionPatterns(competesWith, arg1 has surpassed arg2
0.006359299812912911) 0.006359299812912911
coupled_cpl extractionPatterns(competesWith, arg1 has topped arg2
0.006722689374290691) 0.006722689374290691
coupled_cpl extractionPatterns(competesWith, arg1 in direct competition
with arg2 0.011494254237409091)    0.011494254237409091
coupled_cpl extractionPatterns(competesWith, arg1 is afraid that arg2
0.00941176289698395)   0.00941176289698395
coupled_cpl extractionPatterns(competesWith, arg1 is ahead of arg2
0.006896549947728325) 0.006896549947728325
coupled_cpl extractionPatterns(competesWith, arg1 is beating arg2
0.006722689374290691) 0.006722689374290691
coupled_cpl extractionPatterns(competesWith, arg1 is competing with arg2
0.006722689374290691) 0.006722689374290691
coupled_cpl extractionPatterns(competesWith, arg1 is copying arg2
0.006722689374290691) 0.006722689374290691
coupled_cpl extractionPatterns(competesWith, arg1 is going after arg2
0.007949128332801269) 0.007949128332801269
coupled_cpl extractionPatterns(competesWith, arg1 is lagging behind arg2
0.006722689374290691) 0.006722689374290691
coupled_cpl extractionPatterns(competesWith, arg1 is way ahead of arg2
0.012919893806146065) 0.012919893806146065
coupled_cpl extractionPatterns(competesWith, arg1 lags behind arg2
0.016304355471863895) 0.016304355471863895
coupled_cpl extractionPatterns(competesWith, arg1 makes a bid for arg2
0.010335920743255263) 0.010335920743255263
coupled_cpl extractionPatterns(competesWith, arg1 overtakes arg2
0.015217396484772164) 0.015217396484772164
coupled_cpl extractionPatterns(competesWith, arg1 overtook arg2
0.008410427280881037) 0.008410427280881037
coupled_cpl extractionPatterns(competesWith, arg1 takeover of arg2
0.021804519808761393) 0.021804519808761393
coupled_cpl extractionPatterns(competesWith, arg1 to Yahoo to arg2
0.014005600411002066) 0.014005600411002066
coupled_cpl extractionPatterns(competesWith, arg1 wants to compete with
arg2 0.011737094293842298)   0.011737094293842298
coupled_cpl extractionPatterns(competesWith, arg1 will overtake arg2
0.028423784554383713) 0.028423784554383713
coupled_cpl extractionPatterns(competesWith, arg2 archrival arg1
0.014005600411002066) 0.014005600411002066
coupled_cpl extractionPatterns(competesWith, arg2 countered arg1
0.00941176289698395)   0.00941176289698395
coupled_cpl extractionPatterns(competesWith, arg2 had approached arg1
0.008658004588415225) 0.008658004588415225
coupled_cpl extractionPatterns(competesWith, arg2 has beat arg1
0.00941176289698395)   0.00941176289698395
coupled_cpl extractionPatterns(competesWith, arg2 has beaten arg1
0.012939003527797114) 0.012939003527797114
coupled_cpl extractionPatterns(competesWith, arg2 has overtaken arg1
0.011299429966259707) 0.011299429966259707
coupled_cpl extractionPatterns(competesWith, arg2 has surpassed arg1
0.015126047821655173) 0.015126047821655173
coupled_cpl extractionPatterns(competesWith, arg2 has topped arg1
0.00941176289698395)   0.00941176289698395
coupled_cpl extractionPatterns(competesWith, arg2 in direct competition
with arg1 0.011737094293842298)    0.011737094293842298
coupled_cpl extractionPatterns(competesWith, arg2 is afraid that arg1
0.00941176289698395)   0.00941176289698395
coupled_cpl extractionPatterns(competesWith, arg2 is ahead of arg1
0.006896549947728325) 0.006896549947728325
coupled_cpl extractionPatterns(competesWith, arg2 is beating arg1
0.01379309740497552)   0.01379309740497552
coupled_cpl extractionPatterns(competesWith, arg2 is competing with arg1
0.009416196881429795) 0.009416196881429795
coupled_cpl extractionPatterns(competesWith, arg2 is copying arg1
0.020689664560397947) 0.020689664560397947
coupled_cpl extractionPatterns(competesWith, arg2 is going after arg1
0.007949128332801269) 0.007949128332801269
coupled_cpl extractionPatterns(competesWith, arg2 is lagging behind arg1
0.010335920743255263) 0.010335920743255263
coupled_cpl extractionPatterns(competesWith, arg2 is way ahead of arg1
0.012919893806146065) 0.012919893806146065
coupled_cpl extractionPatterns(competesWith, arg2 lags behind arg1
0.016304355471863895) 0.016304355471863895
coupled_cpl extractionPatterns(competesWith, arg2 makes a bid for arg1
0.010335920743255263) 0.010335920743255263
coupled_cpl extractionPatterns(competesWith, arg2 overtakes arg1
0.015217396484772164) 0.015217396484772164
coupled_cpl extractionPatterns(competesWith, arg2 overtook arg1
0.008410427280881037) 0.008410427280881037
coupled_cpl extractionPatterns(competesWith, arg2 takeover of arg1
0.021804519808761393) 0.021804519808761393
coupled_cpl extractionPatterns(competesWith, arg2 to Yahoo to arg1
0.012919893806146065) 0.012919893806146065
coupled_cpl extractionPatterns(competesWith, arg2 wants to compete with
arg1 0.011737094293842298)   0.011737094293842298
coupled_cpl extractionPatterns(competesWith, arg2 will overtake arg1
0.028423784554383713) 0.028423784554383713
coupled_cpl extractionPatterns(conference, abstract appears in _
0.16000007419974682)   0.16000007419974682
coupled_cpl extractionPatterns(conference, abstract published in _
0.18181819858880538)   0.18181819858880538
coupled_cpl extractionPatterns(conference, annual keynote address at _
0.19999998248682085)   0.19999998248682085
coupled_cpl extractionPatterns(conference, better conference than _
0.14999999773288222)   0.14999999773288222
coupled_cpl extractionPatterns(conference, big dog at _
0.16666674487136082)   0.16666674487136082
coupled_cpl extractionPatterns(conference, big theme at _
0.2777777348505767)    0.2777777348505767
coupled_cpl extractionPatterns(conference, camcorders at _
0.2592591858756811)    0.2592591858756811
coupled_cpl extractionPatterns(conference, chip set at _
0.14999999773288222)   0.14999999773288222
coupled_cpl extractionPatterns(conference, company announced at _
0.13793109915402665)   0.13793109915402665
coupled_cpl extractionPatterns(conference, definitive version was
published in _ 0.23728816271299227)      0.23728816271299227
coupled_cpl extractionPatterns(conference, Earlier version appeared in _
0.1052631366954227)    0.1052631366954227
coupled_cpl extractionPatterns(conference, early beta at _
0.29999994129778657)   0.29999994129778657
coupled_cpl extractionPatterns(conference, electronic submission
procedure for _ 0.1578946879734282)      0.1578946879734282
coupled_cpl extractionPatterns(conference, exhibit halls of _
0.14999999773288222)   0.14999999773288222
coupled_cpl extractionPatterns(conference, exhibition floor of _
0.19999998248682085)   0.19999998248682085
coupled_cpl extractionPatterns(conference, extended abstract appeared in
_ 0.05405403957212513) 0.05405403957212513
coupled_cpl extractionPatterns(conference, final keynote address at _
0.29999994129778657)   0.29999994129778657
coupled_cpl extractionPatterns(conference, format guidelines of _
0.2631579122979848)    0.2631579122979848
coupled_cpl extractionPatterns(conference, gender-neutral version of _
0.1052631366954227)    0.1052631366954227
coupled_cpl extractionPatterns(conference, huge presence at _
0.2173913703250207)    0.2173913703250207
coupled_cpl extractionPatterns(conference, industry conferences including
_ 0.15384618106178571) 0.15384618106178571
coupled_cpl extractionPatterns(conference, industry events , including _
0.11111106414847875)   0.11111106414847875
coupled_cpl extractionPatterns(conference, industry events like _
0.13636365882139362)   0.13636365882139362
coupled_cpl extractionPatterns(conference, industry events such as _
0.12280703213078432)   0.12280703213078432
coupled_cpl extractionPatterns(conference, initiative over at _
0.1052631366954227)    0.1052631366954227
coupled_cpl extractionPatterns(conference, _ is the top conference
0.1052631366954227)    0.1052631366954227
coupled_cpl extractionPatterns(conference, last keynote at _
0.6999999607571137)    0.6999999607571137
coupled_cpl extractionPatterns(conference, lunch line at _
0.1052631366954227)    0.1052631366954227
coupled_cpl extractionPatterns(conference, many international conferences
including _ 0.14999999773288222) 0.14999999773288222
coupled_cpl extractionPatterns(conference, more podcasts from _
0.16666674487136082)   0.16666674487136082
coupled_cpl extractionPatterns(conference, paper accepted at _
0.048780482250944834) 0.048780482250944834
coupled_cpl extractionPatterns(conference, paper has been accepted at _
0.1052631366954227)     0.1052631366954227
coupled_cpl extractionPatterns(conference, people are having at _
0.18181819858880538)    0.18181819858880538
coupled_cpl extractionPatterns(conference, post is cross-posted at _
0.19999998248682085)    0.19999998248682085
coupled_cpl extractionPatterns(conference, preliminary version appeared
in _ 0.13669064118935823)     0.13669064118935823
coupled_cpl extractionPatterns(conference, presentation live at _
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coupled_cpl extractionPatterns(conference, presentation yesterday at _
0.18181819858880538)    0.18181819858880538
coupled_cpl extractionPatterns(conference, press event at _
0.16000007419974682)    0.16000007419974682
coupled_cpl extractionPatterns(conference, product announcements at _
0.38095234134994) 0.38095234134994
coupled_cpl extractionPatterns(conference, products announced at _
0.47619064034735087)    0.47619064034735087
coupled_cpl extractionPatterns(conference, products being shown at _
0.18181819858880538)    0.18181819858880538
coupled_cpl extractionPatterns(conference, products introduced at _
0.11999994434402382)    0.11999994434402382
coupled_cpl extractionPatterns(conference, products shown at _
0.12499994270999265)    0.12499994270999265
coupled_cpl extractionPatterns(conference, recent keynote at _
0.18181819858880538)    0.18181819858880538
coupled_cpl extractionPatterns(conference, shorter version appears in _
0.17647059800966608)    0.17647059800966608
coupled_cpl extractionPatterns(conference, short version appears in _
0.11764707805838637)    0.11764707805838637
coupled_cpl extractionPatterns(conference, show floor at _
0.13999997989219803)    0.13999997989219803
coupled_cpl extractionPatterns(conference, show floor of _
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coupled_cpl extractionPatterns(conference, trade shows such as _
0.1555556085556767)     0.1555556085556767
coupled_cpl extractionPatterns(conference, various conferences including
_ 0.12499994270999265) 0.12499994270999265
coupled_cpl extractionPatterns(country, armed forces of _
0.4325453943860008)     0.4325453943860008
coupled_cpl extractionPatterns(country, asylum in _ 0.5277022894686272)
      0.5277022894686272
coupled_cpl extractionPatterns(country, atrocities in _
0.4620075712720224)     0.4620075712720224
coupled_cpl extractionPatterns(country, border into _
0.49064766271070215)    0.49064766271070215
coupled_cpl extractionPatterns(country, border with _ 0.4862385168796531)
      0.4862385168796531
coupled_cpl extractionPatterns(country, countries , including _
0.30247519647409005)    0.30247519647409005
coupled_cpl extractionPatterns(country, countries , like _
0.4837519517601402)     0.4837519517601402
coupled_cpl extractionPatterns(country, countries other than _
0.28513144343521424)    0.28513144343521424
coupled_cpl extractionPatterns(country, country like _
0.29679043360424334)    0.29679043360424334
coupled_cpl extractionPatterns(country, country such as _
0.47119653511175025)    0.47119653511175025
coupled_cpl extractionPatterns(country, current situation in _
0.420713163229775)      0.420713163229775
coupled_cpl extractionPatterns(country, democracy in _
0.41383166256822757)    0.41383166256822757
coupled_cpl extractionPatterns(country, diplomatic relations with _
0.4843032591431477)     0.4843032591431477
coupled_cpl extractionPatterns(country, elections in _ 0.385001133708995)
      0.385001133708995
coupled_cpl extractionPatterns(country, ethnic groups in _
0.3790280750477917)     0.3790280750477917
coupled_cpl extractionPatterns(country, highlands of _
0.46770945430041916)    0.46770945430041916
coupled_cpl extractionPatterns(country, home country of _
0.43059685407022913)    0.43059685407022913
coupled_cpl extractionPatterns(country, human rights in _
0.41067875011841987)    0.41067875011841987
coupled_cpl extractionPatterns(country, immigrant from _
0.4908483786483621)     0.4908483786483621
coupled_cpl extractionPatterns(country, immigration from _
0.4035003192784322)     0.4035003192784322
coupled_cpl extractionPatterns(country, imports from _
0.2798635824700892)     0.2798635824700892
coupled_cpl extractionPatterns(country, independence from _
0.45936324429170283)    0.45936324429170283
coupled_cpl extractionPatterns(country, invasion of _ 0.4528800404212322)
      0.4528800404212322
coupled_cpl extractionPatterns(country, _ is a country
0.4074125380051032)     0.4074125380051032
coupled_cpl extractionPatterns(country, _ is a nation 0.4010087626176413)
      0.4010087626176413
coupled_cpl extractionPatterns(country, _ is a signatory
0.43500750289835644)    0.43500750289835644
coupled_cpl extractionPatterns(country, _ is the only country
0.6122760720886136)     0.6122760720886136
coupled_cpl extractionPatterns(country, major cities in _
0.40699637508673625)    0.40699637508673625
coupled_cpl extractionPatterns(country, military action against _
0.6108694553521403)     0.6108694553521403
coupled_cpl extractionPatterns(country, military presence in _
0.42728886313986536)    0.42728886313986536
coupled_cpl extractionPatterns(country, nation of _ 0.401851765862742)
      0.401851765862742
coupled_cpl extractionPatterns(country, nations , including _
0.44977851782072775)    0.44977851782072775
coupled_cpl extractionPatterns(country, nations like _
0.4736550333445339)     0.4736550333445339
coupled_cpl extractionPatterns(country, nations such as _
0.4118813321018087)     0.4118813321018087
coupled_cpl extractionPatterns(country, occupation of _
0.4063371683940915)    0.4063371683940915
coupled_cpl extractionPatterns(country, official language of _
0.3828036823253086)    0.3828036823253086
coupled_cpl extractionPatterns(country, policy toward _
0.420557948711383)     0.420557948711383
coupled_cpl extractionPatterns(country, political parties in _
0.38487833793430926)   0.38487833793430926
coupled_cpl extractionPatterns(country, political party in _
0.4024256176785195)    0.4024256176785195
coupled_cpl extractionPatterns(country, political situation in _
0.438118875578113)     0.438118875578113
coupled_cpl extractionPatterns(country, prime minister of _
0.5274886133137344)    0.5274886133137344
coupled_cpl extractionPatterns(country, provinces in _
0.37789004950503324)   0.37789004950503324
coupled_cpl extractionPatterns(country, refugee camps in _
0.47199117056577117)   0.47199117056577117
coupled_cpl extractionPatterns(country, republic of _
0.45769557466772043)   0.45769557466772043
coupled_cpl extractionPatterns(country, sanctions against _
0.44822183576707103)   0.44822183576707103
coupled_cpl extractionPatterns(country, security situation in _
0.41343292106979307)   0.41343292106979307
coupled_cpl extractionPatterns(country, treaty with _ 0.3927598195979297)
      0.3927598195979297
coupled_cpl extractionPatterns(country, troops from _
0.40666196152921685)   0.40666196152921685
coupled_cpl extractionPatterns(country, war in _ 0.3905946334036187)
      0.3905946334036187
coupled_cpl extractionPatterns(country, war with _ 0.39733918213296127)
      0.39733918213296127
coupled_cpl extractionPatterns(economicSector, adoption of new _
0.36514235052210914)   0.36514235052210914
coupled_cpl extractionPatterns(economicSector, advancements in _
0.15996039910126084)   0.15996039910126084
coupled_cpl extractionPatterns(economicSector, advances in _
0.1456958571931875)    0.1456958571931875
coupled_cpl extractionPatterns(economicSector, breakthroughs in _
0.13063383789832866)   0.13063383789832866
coupled_cpl extractionPatterns(economicSector, _ consulting company
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coupled_cpl extractionPatterns(economicSector, _ consulting firm
0.11928162323598492)   0.11928162323598492
coupled_cpl extractionPatterns(economicSector, consulting firm
specializing in _ 0.13621619313587152) 0.13621619313587152
coupled_cpl extractionPatterns(economicSector, _ consulting for
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coupled_cpl extractionPatterns(economicSector, _ consulting practice
0.21284395231671033)   0.21284395231671033
coupled_cpl extractionPatterns(economicSector, _ consulting services
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coupled_cpl extractionPatterns(economicSector, deregulation of _
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coupled_cpl extractionPatterns(economicSector, development of new _
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coupled_cpl extractionPatterns(economicSector, diverse industries as _
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coupled_cpl extractionPatterns(economicSector, early stages of _
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coupled_cpl extractionPatterns(economicSector, effective use of _
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coupled_cpl extractionPatterns(economicSector, industries , from _
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coupled_cpl extractionPatterns(economicSector, industries include _
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coupled_cpl extractionPatterns(economicSector, industries including _
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coupled_cpl extractionPatterns(economicSector, industries ranging from _
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coupled_cpl extractionPatterns(economicSector, industry experience
includes _ 0.129251649963504)      0.129251649963504
coupled_cpl extractionPatterns(economicSector, introduction of new _
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coupled_cpl extractionPatterns(economicSector, land for _
0.18258198024515576)   0.18258198024515576
coupled_cpl extractionPatterns(economicSector, rapid changes in _
0.13763761858059695)   0.13763761858059695
coupled_cpl extractionPatterns(economicSector, _ related businesses
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coupled_cpl extractionPatterns(economicSector, _ related companies
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coupled_cpl extractionPatterns(economicSector, _ related fields
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coupled_cpl extractionPatterns(economicSector, _ related industries
0.14386455677191193)   0.14386455677191193
coupled_cpl extractionPatterns(economicSector, sectors include _
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coupled_cpl extractionPatterns(economicSector, sectors , including _
0.1572832435533435)    0.1572832435533435
coupled_cpl extractionPatterns(economicSector, sectors including _
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coupled_cpl extractionPatterns(economicSector, sectors like _
0.2279201341976225)    0.2279201341976225
coupled_cpl extractionPatterns(economicSector, sectors such as _
0.08815858359557358)   0.08815858359557358
coupled_cpl extractionPatterns(economicSector, sectors , such as _
0.0883881825354868)    0.0883881825354868
coupled_cpl extractionPatterns(economicSector, use of advanced _
0.35816267369208243)   0.35816267369208243
coupled_cpl extractionPatterns(economicSector, use of modern _
0.307573560255838)     0.307573560255838
coupled_cpl extractionPatterns(economicSector, _ utilized in
0.09003903324063232)   0.09003903324063232
coupled_cpl extractionPatterns(emotion, cause of great _
0.6881723250192984)    0.6881723250192984
coupled_cpl extractionPatterns(emotion, deep feeling of _
0.5831324100383518)    0.5831324100383518
coupled_cpl extractionPatterns(emotion, deep feelings of _
0.7080921771841259)    0.7080921771841259
coupled_cpl extractionPatterns(emotion, exclamation of _
0.6141660178532081)    0.6141660178532081
coupled_cpl extractionPatterns(emotion, exclamations of _
0.6654205714236552)    0.6654205714236552
coupled_cpl extractionPatterns(emotion, eyes filled with _
0.7571839926938858)    0.7571839926938858
coupled_cpl extractionPatterns(emotion, eyes full of _
0.5006840577886755)    0.5006840577886755
coupled_cpl extractionPatterns(emotion, eyes were filled with _
0.6792928149357685)    0.6792928149357685
coupled_cpl extractionPatterns(emotion, eyes were full of _
0.6656441903015212)    0.6656441903015212
coupled_cpl extractionPatterns(emotion, feeling of deep _
0.6085269976473388)    0.6085269976473388
coupled_cpl extractionPatterns(emotion, feeling of great _
0.5555553693900973)    0.5555553693900973
coupled_cpl extractionPatterns(emotion, feeling of intense _
0.5909091475753722)    0.5909091475753722
coupled_cpl extractionPatterns(emotion, feeling of utter _
0.5681817096875447)    0.5681817096875447
coupled_cpl extractionPatterns(emotion, feelings such as _
0.24570663385564925)   0.24570663385564925
coupled_cpl extractionPatterns(emotion, grunt of _ 0.5665137086240876)
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coupled_cpl extractionPatterns(emotion, heart filled with _
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coupled_cpl extractionPatterns(emotion, heart full of _
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coupled_cpl extractionPatterns(emotion, heart is filled with _
0.5674157493176036)    0.5674157493176036
coupled_cpl extractionPatterns(emotion, heart is full of _
0.5859563384180483)    0.5859563384180483
coupled_cpl extractionPatterns(emotion, hearts are filled with _
0.610169189765938)     0.610169189765938
coupled_cpl extractionPatterns(emotion, heart was filled with _
0.5828094441530011)    0.5828094441530011
coupled_cpl extractionPatterns(emotion, howls of _ 0.6103644751506583)
      0.6103644751506583
coupled_cpl extractionPatterns(emotion, huge sense of _
0.6116910158651304)    0.6116910158651304
coupled_cpl extractionPatterns(emotion, intense feelings of _
0.5911952168259729)    0.5911952168259729
coupled_cpl extractionPatterns(emotion, _ knew no bounds
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coupled_cpl extractionPatterns(emotion, look of pure _
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coupled_cpl extractionPatterns(emotion, look of utter _
0.6348122456195204)    0.6348122456195204
coupled_cpl extractionPatterns(emotion, mixed feelings of _
0.5727270662023615)    0.5727270662023615
coupled_cpl extractionPatterns(emotion, outbursts of _
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coupled_cpl extractionPatterns(emotion, overwhelming feelings of _
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coupled_cpl extractionPatterns(emotion, own feelings of _
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coupled_cpl extractionPatterns(emotion, pang of _ 0.5147705559603928)
      0.5147705559603928
coupled_cpl extractionPatterns(emotion, pangs of _ 0.5748661775312368)
      0.5748661775312368
coupled_cpl extractionPatterns(emotion, paroxysms of _
0.5960593716594186)    0.5960593716594186
coupled_cpl extractionPatterns(emotion, same feelings of _
0.583617778088614)     0.583617778088614
coupled_cpl extractionPatterns(emotion, sense of deep _
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coupled_cpl extractionPatterns(emotion, shiver of _ 0.5976093496228633)
      0.5976093496228633
coupled_cpl extractionPatterns(emotion, shout of _ 0.5512047178968087)
      0.5512047178968087
coupled_cpl extractionPatterns(emotion, shouts of _ 0.15469373808779968)
      0.15469373808779968
coupled_cpl extractionPatterns(emotion, sigh of _ 0.8808622691006724)
      0.8808622691006724
coupled_cpl extractionPatterns(emotion, sighs of _ 0.6234068023590369)
      0.6234068023590369
coupled_cpl extractionPatterns(emotion, source of great _
0.545072753809435)     0.545072753809435
coupled_cpl extractionPatterns(emotion, squeals of _ 0.7278582218192691)
      0.7278582218192691
coupled_cpl extractionPatterns(emotion, stab of _ 0.5824039499082367)
      0.5824039499082367
coupled_cpl extractionPatterns(emotion, strong feelings of _
0.6034482451206077)    0.6034482451206077
coupled_cpl extractionPatterns(emotion, tears of _ 0.3763634425217909)
      0.3763634425217909
coupled_cpl extractionPatterns(emotion, twinge of _ 0.6905540725017683)
      0.6905540725017683
coupled_cpl extractionPatterns(emotion, twinges of _ 0.6714699597891135)
      0.6714699597891135
coupled_cpl extractionPatterns(emotion, vague feeling of _
0.5495052230984074)    0.5495052230984074
coupled_cpl extractionPatterns(emotion, yell of _ 0.5440930494336441)
      0.5440930494336441
coupled_cpl extractionPatterns(food, antioxidants called _
0.565217311307787)     0.565217311307787
coupled_cpl extractionPatterns(food, _ are tender 0.5558687909950177)
      0.5558687909950177
coupled_cpl extractionPatterns(food, bag of frozen _ 0.5699999533475204)
      0.5699999533475204
coupled_cpl extractionPatterns(food, bowl of fresh _ 0.43835596201589966)
      0.43835596201589966
coupled_cpl extractionPatterns(food, carbohydrates such as _
0.42950839146306075)   0.42950839146306075
coupled_cpl extractionPatterns(food, cheese , green _ 0.7583335125011281)
      0.7583335125011281
coupled_cpl extractionPatterns(food, chocolate covered _
0.493401023750249)     0.493401023750249
coupled_cpl extractionPatterns(food, chocolate dipped _
0.5714284502488258)    0.5714284502488258
coupled_cpl extractionPatterns(food, diet high in _ 0.4961638817874447)
      0.4961638817874447
coupled_cpl extractionPatterns(food, diet is high in _
0.6370373442067649)    0.6370373442067649
coupled_cpl extractionPatterns(food, diet is low in _ 0.5833330420941402)
      0.5833330420941402
coupled_cpl extractionPatterns(food, diet low in _ 0.4159871119875281)
      0.4159871119875281
coupled_cpl extractionPatterns(food, diet rich in _ 0.3892026966478178)
      0.3892026966478178
coupled_cpl extractionPatterns(food, diets high in _ 0.42950108988246954)
      0.42950108988246954
coupled_cpl extractionPatterns(food, Diets high in _ 0.50638298937397)
      0.50638298937397
coupled_cpl extractionPatterns(food, diets rich in _ 0.42622964721227774)
      0.42622964721227774
coupled_cpl extractionPatterns(food, food high in _ 0.5196504006231301)
      0.5196504006231301
coupled_cpl extractionPatterns(food, foods are high in _
0.4808509173778754)    0.4808509173778754
coupled_cpl extractionPatterns(food, foods high in _ 0.5142858704194089)
      0.5142858704194089
coupled_cpl extractionPatterns(food, foods , like _ 0.4255665240269326)
      0.4255665240269326
coupled_cpl extractionPatterns(food, foods low in _ 0.6066665377981865)
      0.6066665377981865
coupled_cpl extractionPatterns(food, foods rich in _ 0.4726911800594638)
      0.4726911800594638
coupled_cpl extractionPatterns(food, fresh chopped _ 0.49065404117177736)
      0.49065404117177736
coupled_cpl extractionPatterns(food, fresh picked _ 0.4433658514451342)
      0.4433658514451342
coupled_cpl extractionPatterns(food, fruit like _ 0.44289037502525197)
      0.44289037502525197
coupled_cpl extractionPatterns(food, fruits including _
0.5919997893061313)    0.5919997893061313
coupled_cpl extractionPatterns(food, fruits , including _
0.6107381325369481)    0.6107381325369481
coupled_cpl extractionPatterns(food, fruits like _ 0.5927503284052988)
      0.5927503284052988
coupled_cpl extractionPatterns(food, fruits , like _ 0.6416668725957321)
      0.6416668725957321
coupled_cpl extractionPatterns(food, fruits , such as _
0.15426999459411533)   0.15426999459411533
coupled_cpl extractionPatterns(food, fruits such as _ 0.6543093677498056)
      0.6543093677498056
coupled_cpl extractionPatterns(food, fruit , such as _
0.47635114363643305)   0.47635114363643305
coupled_cpl extractionPatterns(food, fruit such as _ 0.6311113285940314)
      0.6311113285940314
coupled_cpl extractionPatterns(food, greens such as _
0.45106401924855777)    0.45106401924855777
coupled_cpl extractionPatterns(food, handful of chopped _
0.5714284502488258)     0.5714284502488258
coupled_cpl extractionPatterns(food, high intake of _ 0.463372969268721)
      0.463372969268721
coupled_cpl extractionPatterns(food, scoop of _ 0.1983198792737684)
      0.1983198792737684
coupled_cpl extractionPatterns(food, servings of _ 0.3870497659630948)
      0.3870497659630948
coupled_cpl extractionPatterns(food, slices of fresh _
0.42905421188825393)    0.42905421188825393
coupled_cpl extractionPatterns(food, snacks like _ 0.4278348595626132)
      0.4278348595626132
coupled_cpl extractionPatterns(food, snacks such as _ 0.43812719991583)
      0.43812719991583
coupled_cpl extractionPatterns(food, sprinkle with chopped _
0.7936505721931949)     0.7936505721931949
coupled_cpl extractionPatterns(food, tomatoes , green _
0.4135338110106064)     0.4135338110106064
coupled_cpl extractionPatterns(food, vegetables , including _
0.5301586381278893)     0.5301586381278893
coupled_cpl extractionPatterns(food, vegetables including _
0.5489362304763472)     0.5489362304763472
coupled_cpl extractionPatterns(food, vegetables like _
0.16843034456970385)    0.16843034456970385
coupled_cpl extractionPatterns(food, vegetables , like _
0.4358108325849603)     0.4358108325849603
coupled_cpl extractionPatterns(food, vegetables , such as _
0.17931038147846168)    0.17931038147846168
coupled_cpl extractionPatterns(food, vegetables such as _
0.2195584049683602)     0.2195584049683602
coupled_cpl extractionPatterns(food, veggies like _ 0.531914774915895)
      0.531914774915895
coupled_cpl extractionPatterns(furniture, area has comfortable _
0.6999999607571137)     0.6999999607571137
coupled_cpl extractionPatterns(furniture, area with comfortable _
0.5529409855844108)     0.5529409855844108
coupled_cpl extractionPatterns(furniture, area with comfy _
0.6315791553969439)     0.6315791553969439
coupled_cpl extractionPatterns(furniture, bedroom has built in _
0.5999997742596369)     0.5999997742596369
coupled_cpl extractionPatterns(furniture, bedrooms have comfortable _
0.7777781108852205)     0.7777781108852205
coupled_cpl extractionPatterns(furniture, black leather sectional _
0.6666667387387801)     0.6666667387387801
coupled_cpl extractionPatterns(furniture, ceiling , built in _
0.6666667387387801)     0.6666667387387801
coupled_cpl extractionPatterns(furniture, chairs , camping _
0.7333332807561508)     0.7333332807561508
coupled_cpl extractionPatterns(furniture, chairs , drafting _
0.8235294236572592)     0.8235294236572592
coupled_cpl extractionPatterns(furniture, chairs , folding _
0.7045457571006686)     0.7045457571006686
coupled_cpl extractionPatterns(furniture, comfortable pull out _
0.6249997682786277)    0.6249997682786277
coupled_cpl extractionPatterns(furniture, couple of comfy _
0.6363637151092231)    0.6363637151092231
coupled_cpl extractionPatterns(furniture, couple of folding _
0.6285711822538812)    0.6285711822538812
coupled_cpl extractionPatterns(furniture, double pull out _
0.6071429580008224)    0.6071429580008224
coupled_cpl extractionPatterns(furniture, fire , comfy _
0.6249997682786277)    0.6249997682786277
coupled_cpl extractionPatterns(furniture, fireplace , built-in _
0.5384616506802858)    0.5384616506802858
coupled_cpl extractionPatterns(furniture, fireplace , overstuffed _
0.7777781108852205)    0.7777781108852205
coupled_cpl extractionPatterns(furniture, fireplace with built-in _
0.5333331516919638)    0.5333331516919638
coupled_cpl extractionPatterns(furniture, furnishings , upholstered _
0.5555553693900973)    0.5555553693900973
coupled_cpl extractionPatterns(furniture, furniture , comfortable _
0.7083336777900588)    0.7083336777900588
coupled_cpl extractionPatterns(furniture, furniture pieces such as _
0.6666667387387801)    0.6666667387387801
coupled_cpl extractionPatterns(furniture, game of musical _
0.8719213971666698)    0.8719213971666698
coupled_cpl extractionPatterns(furniture, loads of comfy _
0.5555553693900973)    0.5555553693900973
coupled_cpl extractionPatterns(furniture, lounge has comfortable _
0.611111407559835)     0.611111407559835
coupled_cpl extractionPatterns(furniture, lounge with comfortable _
0.6388887116144715)    0.6388887116144715
coupled_cpl extractionPatterns(furniture, modern furniture including _
0.7777781108852205)    0.7777781108852205
coupled_cpl extractionPatterns(furniture, plenty of comfortable _
0.5748029457295213)    0.5748029457295213
coupled_cpl extractionPatterns(furniture, plenty of comfy _
0.5405403454542155)    0.5405403454542155
coupled_cpl extractionPatterns(furniture, porch with comfortable _
0.6249997682786277)    0.6249997682786277
coupled_cpl extractionPatterns(furniture, room , built-in _
0.5714284502488258)    0.5714284502488258
coupled_cpl extractionPatterns(furniture, room has built-in _
0.5384616506802858)    0.5384616506802858
coupled_cpl extractionPatterns(furniture, room has comfortable _
0.5641026728453764)    0.5641026728453764
coupled_cpl extractionPatterns(furniture, room is furnished with
comfortable _ 0.6363637151092231) 0.6363637151092231
coupled_cpl extractionPatterns(furniture, rooms with comfy _
0.8888889205834525)    0.8888889205834525
coupled_cpl extractionPatterns(furniture, room with comfortable _
0.6489361170627496)    0.6489361170627496
coupled_cpl extractionPatterns(furniture, room with comfy _
0.6666667387387801)    0.6666667387387801
coupled_cpl extractionPatterns(furniture, separate seating area with _
0.6875003089910393)    0.6875003089910393
coupled_cpl extractionPatterns(furniture, slipcovers for sectional _
0.8750003435465248)    0.8750003435465248
coupled_cpl extractionPatterns(furniture, sofa futon _
0.5999997742596369)    0.5999997742596369
coupled_cpl extractionPatterns(furniture, space with comfortable _
0.6875003089910393)    0.6875003089910393
coupled_cpl extractionPatterns(furniture, table , comfortable _
0.6249997682786277)    0.6249997682786277
coupled_cpl extractionPatterns(furniture, tables , comfortable _
0.48571414846757255)   0.48571414846757255
coupled_cpl extractionPatterns(furniture, tables , comfy _
0.7777781108852205)    0.7777781108852205
coupled_cpl extractionPatterns(furniture, tables , folding _
0.6249997682786277)    0.6249997682786277
coupled_cpl extractionPatterns(furniture, tables , round _
0.8888889205834525)    0.8888889205834525
coupled_cpl extractionPatterns(furniture, tables with comfortable _
0.7777781108852205)    0.7777781108852205
coupled_cpl extractionPatterns(furniture, table with comfortable _
0.5555553693900973)    0.5555553693900973
coupled_cpl extractionPatterns(furniture, TVs , comfortable _
0.6666667387387801)    0.6666667387387801
coupled_cpl extractionPatterns(furniture, wall of built-in _
0.7500000543388377)    0.7500000543388377
coupled_cpl extractionPatterns(furniture, walls , comfy _
0.5555553693900973)    0.5555553693900973
coupled_cpl extractionPatterns(hasOfficeInCity, arg1 offices in arg2
3.864361129413045E-4) 3.864361129413045E-4
coupled_cpl extractionPatterns(hasOfficeInCountry, arg2 based arg1
9.384426480708308E-6) 9.384426480708308E-6
coupled_cpl extractionPatterns(headquarteredIn, arg1 is headquartered in
arg2 4.1718824965974636E-4) 4.1718824965974636E-4
coupled_cpl extractionPatterns(headquarteredIn, arg1 was founded in arg2
2.81294048449339E-4)   2.81294048449339E-4
coupled_cpl extractionPatterns(hobby, adventure activities such as _
0.610169189765938)     0.610169189765938
coupled_cpl extractionPatterns(hobby, adventure sports like _
0.6166664505730616)    0.6166664505730616
coupled_cpl extractionPatterns(hobby, adventure sports such as _
0.6097562450220343)    0.6097562450220343
coupled_cpl extractionPatterns(hobby, _ are all popular activities
0.589041287596711)     0.589041287596711
coupled_cpl extractionPatterns(hobby, _ are favorite pastimes
0.5849054902090105)    0.5849054902090105
coupled_cpl extractionPatterns(hobby, _ are popular activities
0.5722221436335564)    0.5722221436335564
coupled_cpl extractionPatterns(hobby, _ are popular pastimes
0.611650645590317)     0.611650645590317
coupled_cpl extractionPatterns(hobby, different genres of _
0.6612905330963582)    0.6612905330963582
coupled_cpl extractionPatterns(hobby, extreme sports such as _
0.5714284502488258)    0.5714284502488258
coupled_cpl extractionPatterns(hobby, favorite type of _
0.13010753215765367)   0.13010753215765367
coupled_cpl extractionPatterns(hobby, genre of _ 0.5940148261990057)
      0.5940148261990057
coupled_cpl extractionPatterns(hobby, great works of _
0.6243032819003104)    0.6243032819003104
coupled_cpl extractionPatterns(hobby, hobbies include _
0.20790022538828967)   0.20790022538828967
coupled_cpl extractionPatterns(hobby, hobbies included _
0.37058812806766217)   0.37058812806766217
coupled_cpl extractionPatterns(hobby, _ including paragliding
0.7530866385240661)    0.7530866385240661
coupled_cpl extractionPatterns(hobby, lifelong love of _
0.21464387919474787)   0.21464387919474787
coupled_cpl extractionPatterns(hobby, major genres of _
0.5849054902090105)    0.5849054902090105
coupled_cpl extractionPatterns(hobby, many different styles of _
0.201058171971768)     0.201058171971768
coupled_cpl extractionPatterns(hobby, many works of _ 0.6761657775106167)
      0.6761657775106167
coupled_cpl extractionPatterns(hobby, other genres of _
0.679758289920981)     0.679758289920981
coupled_cpl extractionPatterns(hobby, outdoor activities including _
0.5195402464149566)    0.5195402464149566
coupled_cpl extractionPatterns(hobby, outdoor activities , including _
0.6048782989177983)    0.6048782989177983
coupled_cpl extractionPatterns(hobby, outdoor activities like _
0.5785339776613369)    0.5785339776613369
coupled_cpl extractionPatterns(hobby, outdoor activities such as _
0.33933176240680113)   0.33933176240680113
coupled_cpl extractionPatterns(hobby, outdoor activities , such as _
0.558620459362799)     0.558620459362799
coupled_cpl extractionPatterns(hobby, outdoor pursuits including _
0.5999997742596369)    0.5999997742596369
coupled_cpl extractionPatterns(hobby, outdoor pursuits such as _
0.6164383261919626)    0.6164383261919626
coupled_cpl extractionPatterns(hobby, outdoor recreation , including _
0.6575345294732664)    0.6575345294732664
coupled_cpl extractionPatterns(hobby, outdoor sports like _
0.6307693589360823)    0.6307693589360823
coupled_cpl extractionPatterns(hobby, recreational activities including _
0.690095696795203)     0.690095696795203
coupled_cpl extractionPatterns(hobby, recreational activities such as _
0.5738048058446554)    0.5738048058446554
coupled_cpl extractionPatterns(hobby, recreational opportunities
including _ 0.34355811388967517) 0.34355811388967517
coupled_cpl extractionPatterns(hobby, recreational opportunities ,
including _ 0.5811967146519141)    0.5811967146519141
coupled_cpl extractionPatterns(hobby, recreational opportunities such as
_ 0.4360902768809759) 0.4360902768809759
coupled_cpl extractionPatterns(hobby, recreation including _
0.5714284502488258)    0.5714284502488258
coupled_cpl extractionPatterns(hobby, recreation such as _
0.3956042247273627)    0.3956042247273627
coupled_cpl extractionPatterns(hobby, recreation , such as _
0.5431037006641485)    0.5431037006641485
coupled_cpl extractionPatterns(hobby, series of one-act _
0.6800003269522281)    0.6800003269522281
coupled_cpl extractionPatterns(hobby, serious works of _
0.5833330420941402)    0.5833330420941402
coupled_cpl extractionPatterns(hobby, taste in _ 0.13621442233687098)
      0.13621442233687098
coupled_cpl extractionPatterns(hobby, traditional sports like _
0.6153845020195187)    0.6153845020195187
coupled_cpl extractionPatterns(hobby, various genres of _
0.6246336257046682)    0.6246336257046682
coupled_cpl extractionPatterns(hobby, water activities , including _
0.6969699377987871)    0.6969699377987871
coupled_cpl extractionPatterns(hobby, water activities like _
0.5744679332777796)    0.5744679332777796
coupled_cpl extractionPatterns(hobby, water activities such as _
0.5431037006641485)    0.5431037006641485
coupled_cpl extractionPatterns(hobby, water sports including _
0.5555553693900973)    0.5555553693900973
coupled_cpl extractionPatterns(hobby, water sports , including _
0.5573772384417223)    0.5573772384417223
coupled_cpl extractionPatterns(hobby, watersports , including _
0.6097562450220343)    0.6097562450220343
coupled_cpl extractionPatterns(hobby, watersports including _
0.731884181158782)     0.731884181158782
coupled_cpl extractionPatterns(hobby, water sports such as _
0.559870372346935)     0.559870372346935
coupled_cpl extractionPatterns(kitchenItem, alcohol in large _
0.9090910725494009)    0.9090910725494009
coupled_cpl extractionPatterns(kitchenItem, breast milk in small _
0.962963278798349)     0.962963278798349
coupled_cpl extractionPatterns(kitchenItem, cells produce large _
0.9230766532371499)    0.9230766532371499
coupled_cpl extractionPatterns(kitchenItem, cinnamon in large _
0.6666667387387801)    0.6666667387387801
coupled_cpl extractionPatterns(kitchenItem, consumption of huge _
0.5833330420941402)    0.5833330420941402
coupled_cpl extractionPatterns(kitchenItem, cookware such as _
0.250000090279989)     0.250000090279989
coupled_cpl extractionPatterns(kitchenItem, cream in chilled _
0.5555553693900973)    0.5555553693900973
coupled_cpl extractionPatterns(kitchenItem, cutlery , cooking _
0.8461539177919128)    0.8461539177919128
coupled_cpl extractionPatterns(kitchenItem, eyes with copious _
0.9473686306771265)    0.9473686306771265
coupled_cpl extractionPatterns(kitchenItem, flour in large _
0.6666667387387801)    0.6666667387387801
coupled_cpl extractionPatterns(kitchenItem, foods contain large _
0.8999995640921492)    0.8999995640921492
coupled_cpl extractionPatterns(kitchenItem, functional items such as _
0.22222231039474505)   0.22222231039474505
coupled_cpl extractionPatterns(kitchenItem, garlic in small _
0.6249997682786277)    0.6249997682786277
coupled_cpl extractionPatterns(kitchenItem, gelatin in large _
0.9166670122405591)    0.9166670122405591
coupled_cpl extractionPatterns(kitchenItem,   glasses , ceramic _
0.31578931892794915)   0.31578931892794915
coupled_cpl extractionPatterns(kitchenItem,   ice cream shaped _
0.8888889205834525)    0.8888889205834525
coupled_cpl extractionPatterns(kitchenItem,   ingredients in large _
0.589999847828619)     0.589999847828619
coupled_cpl extractionPatterns(kitchenItem,   ingredients in separate _
0.250000090279989)     0.250000090279989
coupled_cpl extractionPatterns(kitchenItem,   ladle into _
0.2972971902244623)    0.2972971902244623
coupled_cpl extractionPatterns(kitchenItem,   makers , hot _
0.31249994056428093)   0.31249994056428093
coupled_cpl extractionPatterns(kitchenItem,   mattresses , cooking _
0.8571425827091225)    0.8571425827091225
coupled_cpl extractionPatterns(kitchenItem,   meals in large _
0.22222231039474505)   0.22222231039474505
coupled_cpl extractionPatterns(kitchenItem,   mugs , plastic _
0.47368440086698504)   0.47368440086698504
coupled_cpl extractionPatterns(kitchenItem,   natural edged _
0.4615384099539175)    0.4615384099539175
coupled_cpl extractionPatterns(kitchenItem,   non-stick coating for _
0.31249994056428093)   0.31249994056428093
coupled_cpl extractionPatterns(kitchenItem,   paint on ceramic _
0.35294113229229485)   0.35294113229229485
coupled_cpl extractionPatterns(kitchenItem,   people consume large _
0.8999995640921492)    0.8999995640921492
coupled_cpl extractionPatterns(kitchenItem,   people eat large _
0.9166670122405591)    0.9166670122405591
coupled_cpl extractionPatterns(kitchenItem,   pepper in small _
0.6666667387387801)    0.6666667387387801
coupled_cpl extractionPatterns(kitchenItem,   plants use large _
0.8999995640921492)    0.8999995640921492
coupled_cpl extractionPatterns(kitchenItem,   plates , salad _
0.7368418470377582)    0.7368418470377582
coupled_cpl extractionPatterns(kitchenItem,   plates with plastic _
0.250000090279989)     0.250000090279989
coupled_cpl extractionPatterns(kitchenItem,   plate with plastic _
0.8181815690145253)    0.8181815690145253
coupled_cpl extractionPatterns(kitchenItem,   pots , plastic _
0.36842099004094686)   0.36842099004094686
coupled_cpl extractionPatterns(kitchenItem,   pots , small _
0.31578931892794915)   0.31578931892794915
coupled_cpl extractionPatterns(kitchenItem,   pottery such as _
0.24242424722100475)   0.24242424722100475
coupled_cpl extractionPatterns(kitchenItem,   rice in large _
0.22222231039474505)   0.22222231039474505
coupled_cpl extractionPatterns(kitchenItem,   salt in large _
0.7999996410514483)    0.7999996410514483
coupled_cpl extractionPatterns(kitchenItem,   secretion of large _
0.9166670122405591)    0.9166670122405591
coupled_cpl extractionPatterns(kitchenItem,   skin in tiny _
0.8918922051045296)    0.8918922051045296
coupled_cpl extractionPatterns(kitchenItem,   soup into individual _
0.5999997742596369)    0.5999997742596369
coupled_cpl extractionPatterns(kitchenItem, spatula footed _
0.449999863298018)      0.449999863298018
coupled_cpl extractionPatterns(kitchenItem, spoonfuls onto ungreased _
0.35294113229229485)    0.35294113229229485
coupled_cpl extractionPatterns(kitchenItem, sugar in large _
0.7714287222313657)     0.7714287222313657
coupled_cpl extractionPatterns(kitchenItem, sugars in large _
0.7777781108852205)     0.7777781108852205
coupled_cpl extractionPatterns(kitchenItem, syrup in small _
0.5000000902799808)     0.5000000902799808
coupled_cpl extractionPatterns(kitchenItem, trays , plastic _
0.3333334295560505)     0.3333334295560505
coupled_cpl extractionPatterns(kitchenItem, utensils such as _
0.2903224723980957)     0.2903224723980957
coupled_cpl extractionPatterns(kitchenItem, vanilla extract in large _
1.0) 1.0
coupled_cpl extractionPatterns(kitchenItem, vanilla in large _
0.9777776368331341)     0.9777776368331341
coupled_cpl extractionPatterns(mammal, animals other than _
0.4956773836857457)     0.4956773836857457
coupled_cpl extractionPatterns(mammal, Animals such as _
0.41228063854534286)    0.41228063854534286
coupled_cpl extractionPatterns(mammal, birds , small _
0.6213237477280682)     0.6213237477280682
coupled_cpl extractionPatterns(mammal, bison , wild _ 0.781250060884007)
      0.781250060884007
coupled_cpl extractionPatterns(mammal, buffalo , wild _
0.8108104305260911)     0.8108104305260911
coupled_cpl extractionPatterns(mammal, deer , feral _ 0.8648648733790252)
      0.8648648733790252
coupled_cpl extractionPatterns(mammal, different breeds of _
0.5767196533255308)     0.5767196533255308
coupled_cpl extractionPatterns(mammal, domestic animals such as _
0.6386555597875291)     0.6386555597875291
coupled_cpl extractionPatterns(mammal, elephants , wild _
0.7575755580290259)     0.7575755580290259
coupled_cpl extractionPatterns(mammal, farm animals such as _
0.7678568165498592)     0.7678568165498592
coupled_cpl extractionPatterns(mammal, goats , wild _ 0.7878788063506048)
      0.7878788063506048
coupled_cpl extractionPatterns(mammal, group of feral _
0.8285716203881722)     0.8285716203881722
coupled_cpl extractionPatterns(mammal, herd of wild _ 0.5649545463556148)
      0.5649545463556148
coupled_cpl extractionPatterns(mammal, herds of wild _
0.5640141156776594)     0.5640141156776594
coupled_cpl extractionPatterns(mammal, large animals such as _
0.4514286262575057)     0.4514286262575057
coupled_cpl extractionPatterns(mammal, larger animals such as _
0.6160001943163789)     0.6160001943163789
coupled_cpl extractionPatterns(mammal, lion , black _ 0.7586209753731393)
      0.7586209753731393
coupled_cpl extractionPatterns(mammal, mammals including _
0.5185182781277219)     0.5185182781277219
coupled_cpl extractionPatterns(mammal, many animals , including _
0.4930557638886735)     0.4930557638886735
coupled_cpl extractionPatterns(mammal, many breeds of _
0.573643589346192)      0.573643589346192
coupled_cpl extractionPatterns(mammal, monkeys , wild _
0.8888889205834525)     0.8888889205834525
coupled_cpl extractionPatterns(mammal, number of feral _
0.768518225964802)      0.768518225964802
coupled_cpl extractionPatterns(mammal, numbers of feral _
0.8684207037520932)     0.8684207037520932
coupled_cpl extractionPatterns(mammal, other animals , including _
0.4169612446464947)     0.4169612446464947
coupled_cpl extractionPatterns(mammal, other animals like _
0.5294116412047185)     0.5294116412047185
coupled_cpl extractionPatterns(mammal, other animals such as _
0.4149658712852604)     0.4149658712852604
coupled_cpl extractionPatterns(mammal, other breeds of _
0.4629214007990856)     0.4629214007990856
coupled_cpl extractionPatterns(mammal, overpopulation of _
0.18876413617783291)    0.18876413617783291
coupled_cpl extractionPatterns(mammal, pack of hungry _
0.671999958644441)      0.671999958644441
coupled_cpl extractionPatterns(mammal, pack of wild _ 0.743420831191709)
      0.743420831191709
coupled_cpl extractionPatterns(mammal, packs of wild _
0.8235294236572592)     0.8235294236572592
coupled_cpl extractionPatterns(mammal, people , other _
0.20043565628990118)    0.20043565628990118
coupled_cpl extractionPatterns(mammal, pets like _ 0.21348322944662626)
      0.21348322944662626
coupled_cpl extractionPatterns(mammal, pets such as _
0.37078644576143116)    0.37078644576143116
coupled_cpl extractionPatterns(mammal, popular breed of _
0.6075948404409983)     0.6075948404409983
coupled_cpl extractionPatterns(mammal, population of feral _
0.7014925497164576)     0.7014925497164576
coupled_cpl extractionPatterns(mammal, predators other than _
0.9090910725494009)     0.9090910725494009
coupled_cpl extractionPatterns(mammal, rodents such as _
0.41228063854534286)    0.41228063854534286
coupled_cpl extractionPatterns(mammal, scrapie in _ 0.7176473403687296)
      0.7176473403687296
coupled_cpl extractionPatterns(mammal, several breeds of _
0.6938773938533201)     0.6938773938533201
coupled_cpl extractionPatterns(mammal, sheep , wild _ 0.6585367175341456)
      0.6585367175341456
coupled_cpl extractionPatterns(mammal, small animals like _
0.5448275262505597)     0.5448275262505597
coupled_cpl extractionPatterns(mammal, small animals such as _
0.3992933177356598)     0.3992933177356598
coupled_cpl extractionPatterns(mammal, small animals , such as _
0.589041287596711)      0.589041287596711
coupled_cpl extractionPatterns(mammal, smaller animals such as _
0.6944445233249414)     0.6944445233249414
coupled_cpl extractionPatterns(mammal, turkeys , wild _
0.7586209753731393)    0.7586209753731393
coupled_cpl extractionPatterns(mammal, wax dipped _ 0.5925926777864048)
      0.5925926777864048
coupled_cpl extractionPatterns(mammal, wild animals , including _
0.5795455598800996)    0.5795455598800996
coupled_cpl extractionPatterns(mammal, wild animals like _
0.5294116412047185)    0.5294116412047185
coupled_cpl extractionPatterns(mammal, wild animals such as _
0.4204948697501167)    0.4204948697501167
coupled_cpl extractionPatterns(movie, balcony scene from _
0.42857136873737717)   0.42857136873737717
coupled_cpl extractionPatterns(movie, blockbusters like _
0.1441442131996638)    0.1441442131996638
coupled_cpl extractionPatterns(movie, blockbusters such as _
0.1099999904508697)    0.1099999904508697
coupled_cpl extractionPatterns(movie, brunch on _ 0.24207008192947976)
      0.24207008192947976
coupled_cpl extractionPatterns(movie, church on _ 0.1566386059415215)
      0.1566386059415215
coupled_cpl extractionPatterns(movie, church services on _
0.41618516898666036)   0.41618516898666036
coupled_cpl extractionPatterns(movie, classic scene from _
0.14814807479771275)   0.14814807479771275
coupled_cpl extractionPatterns(movie, college production of _
0.25714298163942295)   0.25714298163942295
coupled_cpl extractionPatterns(movie, comedies such as _
0.1463414045087318)    0.1463414045087318
coupled_cpl extractionPatterns(movie, day off on _ 0.3664123281685408)
      0.3664123281685408
coupled_cpl extractionPatterns(movie, famous scene in _
0.14285716415076063)   0.14285716415076063
coupled_cpl extractionPatterns(movie, favorite movie is _
0.13125004954824984)   0.13125004954824984
coupled_cpl extractionPatterns(movie, favorite movies are _
0.14285716415076063)   0.14285716415076063
coupled_cpl extractionPatterns(movie, favorite movies include _
0.19999998248682085)   0.19999998248682085
coupled_cpl extractionPatterns(movie, favorite movies is _
0.1578946879734282)    0.1578946879734282
coupled_cpl extractionPatterns(movie, favorite movie was _
0.16666674487136082)   0.16666674487136082
coupled_cpl extractionPatterns(movie, favourite film is _
0.16949158490029412)   0.16949158490029412
coupled_cpl extractionPatterns(movie, favourite movie is _
0.15853656789555357)   0.15853656789555357
coupled_cpl extractionPatterns(movie, feature films including _
0.17142850153053285)   0.17142850153053285
coupled_cpl extractionPatterns(movie, fictional universe of _
0.09615382751416786)   0.09615382751416786
coupled_cpl extractionPatterns(movie, film classic _ 0.24074066589511517)
      0.24074066589511517
coupled_cpl extractionPatterns(movie, films , like _ 0.14693881549057772)
      0.14693881549057772
coupled_cpl extractionPatterns(movie, films such as _
0.14260010994491926)   0.14260010994491926
coupled_cpl extractionPatterns(movie, final round on _
0.36666670658338996)   0.36666670658338996
coupled_cpl extractionPatterns(movie, horror classic _
0.14999999773288222)   0.14999999773288222
coupled_cpl extractionPatterns(movie, horror films like _
0.16949158490029412)   0.16949158490029412
coupled_cpl extractionPatterns(movie, _ is a better movie
0.13414633803810622)   0.13414633803810622
coupled_cpl extractionPatterns(movie, _ is a monster movie
0.13432836385810043)   0.13432836385810043
coupled_cpl extractionPatterns(movie, little film called _
0.05769233249500442)   0.05769233249500442
coupled_cpl extractionPatterns(movie, little movie called _
0.2033897886341167)    0.2033897886341167
coupled_cpl extractionPatterns(movie, many films including _
0.22916660665010627)   0.22916660665010627
coupled_cpl extractionPatterns(movie, midnight showing of _
0.14141407360881056)   0.14141407360881056
coupled_cpl extractionPatterns(movie, movie , like _ 0.04498271383550986)
      0.04498271383550986
coupled_cpl extractionPatterns(movie, movies including _
0.14814807479771275)   0.14814807479771275
coupled_cpl extractionPatterns(movie, officials said on _
0.6562503052063952)    0.6562503052063952
coupled_cpl extractionPatterns(movie, opening scene from _
0.17777776854941962)   0.17777776854941962
coupled_cpl extractionPatterns(movie, police said on _
0.7628865104344562)    0.7628865104344562
coupled_cpl extractionPatterns(movie, recent remake of _
0.11999994434402382)   0.11999994434402382
coupled_cpl extractionPatterns(movie, researchers said on _
0.7863250676315192)    0.7863250676315192
coupled_cpl extractionPatterns(movie, school production of _
0.1419354361183337)    0.1419354361183337
coupled_cpl extractionPatterns(movie, soundtracks including _
0.16417916138088376)   0.16417916138088376
coupled_cpl extractionPatterns(movie, stores are closed on _
0.9850745060605995)    0.9850745060605995
coupled_cpl extractionPatterns(movie, such films as _ 0.1332654866733781)
      0.1332654866733781
coupled_cpl extractionPatterns(movie, theme music from _
0.05645163641813445)   0.05645163641813445
coupled_cpl extractionPatterns(movie, thrillers such as _
0.04807692243784964)   0.04807692243784964
coupled_cpl extractionPatterns(movie, upcoming remake of _
0.23728816271299227)   0.23728816271299227
coupled_cpl extractionPatterns(movie, _ was church 0.1918819384483782)
      0.1918819384483782
coupled_cpl extractionPatterns(movie, week begins on _
0.6999999607571137)    0.6999999607571137
coupled_cpl extractionPatterns(movie, week ending on _
0.6761907961072258)    0.6761907961072258
coupled_cpl extractionPatterns(movie, week starts on _
0.7303371515659888)    0.7303371515659888
coupled_cpl extractionPatterns(newspaperCompany, affairs columnist for _
0.37254889054119533)   0.37254889054119533
coupled_cpl extractionPatterns(newspaperCompany, architecture critic for
_ 0.43749981326824455) 0.43749981326824455
coupled_cpl extractionPatterns(newspaperCompany, architecture critic of _
0.4333333438202682)    0.4333333438202682
coupled_cpl extractionPatterns(newspaperCompany, business publications
such as _ 0.43999980291076946)     0.43999980291076946
coupled_cpl extractionPatterns(newspaperCompany, classical music critic
for _ 0.47619064034735087)   0.47619064034735087
coupled_cpl extractionPatterns(newspaperCompany, column today in _
0.43749981326824455)   0.43749981326824455
coupled_cpl extractionPatterns(newspaperCompany, deputy managing editor
of _ 0.3999998927496764)     0.3999998927496764
coupled_cpl extractionPatterns(newspaperCompany, economics columnist for
_ 0.42857136873737717) 0.42857136873737717
coupled_cpl extractionPatterns(newspaperCompany, economics editor of _
0.5000000902799808)    0.5000000902799808
coupled_cpl extractionPatterns(newspaperCompany, editorial cartoonist at
_ 0.4642857851884937) 0.4642857851884937
coupled_cpl extractionPatterns(newspaperCompany, editorial page of _
0.23529411363207658)   0.23529411363207658
coupled_cpl extractionPatterns(newspaperCompany, editorials have appeared
in _ 0.4800000840385036)     0.4800000840385036
coupled_cpl extractionPatterns(newspaperCompany, editorial writers at _
0.4800000840385036)    0.4800000840385036
coupled_cpl extractionPatterns(newspaperCompany, editorial writers of _
0.44444454054060095)   0.44444454054060095
coupled_cpl extractionPatterns(newspaperCompany, former foreign
correspondent for _ 0.42857136873737717)      0.42857136873737717
coupled_cpl extractionPatterns(newspaperCompany, former literary editor
of _ 0.44444454054060095)    0.44444454054060095
coupled_cpl extractionPatterns(newspaperCompany, former sports editor of
_ 0.4705881422947763) 0.4705881422947763
coupled_cpl extractionPatterns(newspaperCompany, former staff writer for
_ 0.39130420640595476) 0.39130420640595476
coupled_cpl extractionPatterns(newspaperCompany, group comparison for _
0.45098058012335385)   0.45098058012335385
coupled_cpl extractionPatterns(newspaperCompany, _ had a front page story
0.42857136873737717)   0.42857136873737717
coupled_cpl extractionPatterns(newspaperCompany, _ had an article
yesterday 0.5294116412047185)      0.5294116412047185
coupled_cpl extractionPatterns(newspaperCompany, _ has an article today
0.23529411363207658)   0.23529411363207658
coupled_cpl extractionPatterns(newspaperCompany, _ is a broadsheet
0.6923075400867749)    0.6923075400867749
coupled_cpl extractionPatterns(newspaperCompany, leader writer for _
0.4800000840385036)    0.4800000840385036
coupled_cpl extractionPatterns(newspaperCompany, many newspapers
including _ 0.4117647861768502)    0.4117647861768502
coupled_cpl extractionPatterns(newspaperCompany, media critic for _
0.4705881422947763)    0.4705881422947763
coupled_cpl extractionPatterns(newspaperCompany, music critic at _
0.37254889054119533)   0.37254889054119533
coupled_cpl extractionPatterns(newspaperCompany, music critic of _
0.4235295464615677)    0.4235295464615677
coupled_cpl extractionPatterns(newspaperCompany, national newspapers
including _ 0.37254889054119533) 0.37254889054119533
coupled_cpl extractionPatterns(newspaperCompany, op-ed article for _
0.4117647861768502)    0.4117647861768502
coupled_cpl extractionPatterns(newspaperCompany, op-ed column for _
0.4666666909552191)    0.4666666909552191
coupled_cpl extractionPatterns(newspaperCompany, op-ed column in _
0.3846155557798213)    0.3846155557798213
coupled_cpl extractionPatterns(newspaperCompany, op-ed columnist for _
0.3676470148190857)    0.3676470148190857
coupled_cpl extractionPatterns(newspaperCompany, op-ed page of _
0.26262634459537443)   0.26262634459537443
coupled_cpl extractionPatterns(newspaperCompany, op-ed pages of _
0.39024403686422865)   0.39024403686422865
coupled_cpl extractionPatterns(newspaperCompany, op-ed piece for _
0.23376615521086186)   0.23376615521086186
coupled_cpl extractionPatterns(newspaperCompany, op-ed piece in _
0.2685951638717974)    0.2685951638717974
coupled_cpl extractionPatterns(newspaperCompany, opinion article in _
0.4102563790317407)    0.4102563790317407
coupled_cpl extractionPatterns(newspaperCompany, opinion piece published
in _ 0.43999980291076946)    0.43999980291076946
coupled_cpl extractionPatterns(newspaperCompany, political correspondent
of _ 0.42105281578387377)    0.42105281578387377
coupled_cpl extractionPatterns(newspaperCompany, _ printed this letter
0.44444454054060095)   0.44444454054060095
coupled_cpl extractionPatterns(newspaperCompany, _ ran a front-page story
0.3728813524075064)    0.3728813524075064
coupled_cpl extractionPatterns(newspaperCompany, _ ran an article today
0.4074072416765353)    0.4074072416765353
coupled_cpl extractionPatterns(newspaperCompany, rate published in _
0.4333333438202682)    0.4333333438202682
coupled_cpl extractionPatterns(newspaperCompany, recent opinion piece in
_ 0.44444454054060095) 0.44444454054060095
coupled_cpl extractionPatterns(newspaperCompany, science reporter for _
0.35294113229229485)   0.35294113229229485
coupled_cpl extractionPatterns(newspaperCompany, sports columnist at _
0.4117647861768502)    0.4117647861768502
coupled_cpl extractionPatterns(newspaperCompany, technology columnist for
_ 0.44155839618280446) 0.44155839618280446
coupled_cpl extractionPatterns(newspaperCompany, technology reporter for
_ 0.4102563790317407) 0.4102563790317407
coupled_cpl extractionPatterns(newspaperCompany, theatre critic of _
0.4666666909552191)    0.4666666909552191
coupled_cpl extractionPatterns(politician, ad attacking _
0.38666677630595225)   0.38666677630595225
coupled_cpl extractionPatterns(politician, attack ad against _
0.3870966018182884)    0.3870966018182884
coupled_cpl extractionPatterns(politician, _ becomes the Democratic
nominee 0.3823530050885383) 0.3823530050885383
coupled_cpl extractionPatterns(politician, _ becomes the nominee
0.36180893874879694)   0.36180893874879694
coupled_cpl extractionPatterns(politician, _ becomes the Republican
nominee 0.45945926124318176) 0.45945926124318176
coupled_cpl extractionPatterns(politician, better president than _
0.357143006136159)     0.357143006136159
coupled_cpl extractionPatterns(politician, campaign accused _
0.37837822060558757)   0.37837822060558757
coupled_cpl extractionPatterns(politician, candidate besides _
0.3999998927496764)    0.3999998927496764
coupled_cpl extractionPatterns(politician, candidate except _
0.4769231081188505)    0.4769231081188505
coupled_cpl extractionPatterns(politician, candidate like _
0.37124464990476636)   0.37124464990476636
coupled_cpl extractionPatterns(politician, candidates except for _
0.39393947430498594)   0.39393947430498594
coupled_cpl extractionPatterns(politician, candidate such as _
0.4137931780131683)    0.4137931780131683
coupled_cpl extractionPatterns(politician, delegates than _
0.31081077266656265)   0.31081077266656265
coupled_cpl extractionPatterns(politician, Democrats such as _
0.10204085568128576)   0.10204085568128576
coupled_cpl extractionPatterns(politician, _ forged close ties
0.14814807479771275)   0.14814807479771275
coupled_cpl extractionPatterns(politician, _ gets the Democratic
nomination 0.3246751938264819)     0.3246751938264819
coupled_cpl extractionPatterns(politician, _ gets the nomination
0.37071118375229395)   0.37071118375229395
coupled_cpl extractionPatterns(politician, _ gets the Republican
nomination 0.3999998927496764)     0.3999998927496764
coupled_cpl extractionPatterns(politician, _ greets supporters
0.37777783282533206)   0.37777783282533206
coupled_cpl extractionPatterns(politician, _ has flip-flopped on
0.3880597330687563)    0.3880597330687563
coupled_cpl extractionPatterns(politician, _ has left the race
0.3448274955146424)    0.3448274955146424
coupled_cpl extractionPatterns(politician, independents than _
0.39130420640595476)   0.39130420640595476
coupled_cpl extractionPatterns(politician, _ is a better candidate
0.327102729476992)     0.327102729476992
coupled_cpl extractionPatterns(politician, _ is a warmonger
0.39130420640595476)   0.39130420640595476
coupled_cpl extractionPatterns(politician, _ is that candidate
0.48571414846757255)   0.48571414846757255
coupled_cpl extractionPatterns(politician, _ is that leader
0.449999863298018)     0.449999863298018
coupled_cpl extractionPatterns(politician, _ is the better candidate
0.43749981326824455)   0.43749981326824455
coupled_cpl extractionPatterns(politician, _ is the Democratic candidate
0.3148147211599582)    0.3148147211599582
coupled_cpl extractionPatterns(politician, _ is the Democratic nominee
0.10407244872642797)   0.10407244872642797
coupled_cpl extractionPatterns(politician, _ is the nominee
0.31301473902935717)   0.31301473902935717
coupled_cpl extractionPatterns(politician, _ is the only candidate
0.35988814649179024)    0.35988814649179024
coupled_cpl extractionPatterns(politician, _ is the only major candidate
0.45714301222842973)    0.45714301222842973
coupled_cpl extractionPatterns(politician, _ is the only presidential
candidate 0.31868121559760904)      0.31868121559760904
coupled_cpl extractionPatterns(politician, _ is the Republican nominee
0.4545456183474251)     0.4545456183474251
coupled_cpl extractionPatterns(politician, _ is the right candidate
0.37096780467204826)    0.37096780467204826
coupled_cpl extractionPatterns(politician, _ is the stronger candidate
0.48571414846757255)    0.48571414846757255
coupled_cpl extractionPatterns(politician, _ leads among
0.4155252069418744)     0.4155252069418744
coupled_cpl extractionPatterns(politician, _ led among
0.4319998663988482)     0.4319998663988482
coupled_cpl extractionPatterns(politician, _ loses the nomination
0.389610405269427)      0.389610405269427
coupled_cpl extractionPatterns(politician, national lead over _
0.4062498152936816)     0.4062498152936816
coupled_cpl extractionPatterns(politician, point lead over _
0.09876539387582) 0.09876539387582
coupled_cpl extractionPatterns(politician, presidential candidacy of _
0.14545449360766524)    0.14545449360766524
coupled_cpl extractionPatterns(politician, running mate for _
0.35102037807773545)    0.35102037807773545
coupled_cpl extractionPatterns(politician, _ steals the nomination
0.3823530050885383)     0.3823530050885383
coupled_cpl extractionPatterns(politician, virtual dead heat with _
0.4062498152936816)     0.4062498152936816
coupled_cpl extractionPatterns(politician, voters went for _
0.38888873677147195)    0.38888873677147195
coupled_cpl extractionPatterns(politician, _ wins the nomination
0.3597884712808661)     0.3597884712808661
coupled_cpl extractionPatterns(politician, _ wins the Republican
nomination 0.39622660363028406)     0.39622660363028406
coupled_cpl extractionPatterns(politician, _ won among 0.338095121004815)
      0.338095121004815
coupled_cpl extractionPatterns(politician, _ won the straw poll
0.4117647861768502)     0.4117647861768502
coupled_cpl extractionPatterns(producesProduct, arg1 already supports
arg2 0.005665721679169176)    0.005665721679169176
coupled_cpl extractionPatterns(producesProduct, arg1 announced its new
arg2 0.00385604203924284)     0.00385604203924284
coupled_cpl extractionPatterns(producesProduct, arg1 boxes running arg2
0.008498581599987653) 0.008498581599987653
coupled_cpl extractionPatterns(producesProduct, arg1 computer running
arg2 0.00915750973727845)     0.00915750973727845
coupled_cpl extractionPatterns(producesProduct, arg1 cut the price of
arg2 0.00526315827452889)     0.00526315827452889
coupled_cpl extractionPatterns(producesProduct, arg1 did with the
original arg2 0.0038412286600701105)      0.0038412286600701105
coupled_cpl extractionPatterns(producesProduct, arg1 engineers designed
arg2 0.0073260045027479055) 0.0073260045027479055
coupled_cpl extractionPatterns(producesProduct, arg1 has confirmed that
the arg2 0.003508772562346199)     0.003508772562346199
coupled_cpl extractionPatterns(producesProduct, arg1 has released a new
arg2 0.002791347011048943)   0.002791347011048943
coupled_cpl extractionPatterns(producesProduct, arg1 has released an
update for arg2 0.006402050175452074)    0.006402050175452074
coupled_cpl extractionPatterns(producesProduct, arg1 introduced its arg2
0.005357145509256469) 0.005357145509256469
coupled_cpl extractionPatterns(producesProduct, arg1 is a registered
trademark and arg2 0.010309278128900859)       0.010309278128900859
coupled_cpl extractionPatterns(producesProduct, arg1 is best known for
its arg2 8.613264269577015E-4)     8.613264269577015E-4
coupled_cpl extractionPatterns(producesProduct, arg1 is committed to
making arg2 0.0034924317810810703) 0.0034924317810810703
coupled_cpl extractionPatterns(producesProduct, arg1 is marketing arg2
0.003508772562346199) 0.003508772562346199
coupled_cpl extractionPatterns(producesProduct, arg1 is still pushing
arg2 0.0038412286600701105) 0.0038412286600701105
coupled_cpl extractionPatterns(producesProduct, arg1 launched its arg2
8.759128134554648E-4) 8.759128134554648E-4
coupled_cpl extractionPatterns(producesProduct, arg1 launched their arg2
0.002093510409965259) 0.002093510409965259
coupled_cpl extractionPatterns(producesProduct, arg1 launches the arg2
0.008771933757847334) 0.008771933757847334
coupled_cpl extractionPatterns(producesProduct, arg1 loses money on arg2
0.002791347011048943) 0.002791347011048943
coupled_cpl extractionPatterns(producesProduct, arg1 machine running arg2
0.006185564550120323) 0.006185564550120323
coupled_cpl extractionPatterns(producesProduct, arg1 patched arg2
0.006185564550120323) 0.006185564550120323
coupled_cpl extractionPatterns(producesProduct, arg1 PCs running arg2
0.01699716013096872)   0.01699716013096872
coupled_cpl extractionPatterns(producesProduct, arg1 plans to launch arg2
0.0034924317810810703) 0.0034924317810810703
coupled_cpl extractionPatterns(producesProduct, arg1 platforms such as
arg2 0.0038412286600701105) 0.0038412286600701105
coupled_cpl extractionPatterns(producesProduct, arg1 revamped arg2
0.006048384907602117) 0.006048384907602117
coupled_cpl extractionPatterns(producesProduct, arg1 rolled out arg2
0.00770925287094939)   0.00770925287094939
coupled_cpl extractionPatterns(producesProduct, arg1 server running arg2
0.006185564550120323) 0.006185564550120323
coupled_cpl extractionPatterns(producesProduct, arg1 Servers running arg2
0.005665721679169176) 0.005665721679169176
coupled_cpl extractionPatterns(producesProduct, arg1 servers running arg2
0.01648352305069392)   0.01648352305069392
coupled_cpl extractionPatterns(producesProduct, arg1 software including
arg2 0.005820721825088214)   0.005820721825088214
coupled_cpl extractionPatterns(producesProduct, arg1 touts arg2
0.005966588234176614) 0.005966588234176614
coupled_cpl extractionPatterns(producesProduct, arg1 unleashed arg2
0.0012919895007619318) 0.0012919895007619318
coupled_cpl extractionPatterns(producesProduct, arg1 unveils arg2
0.0012919895007619318) 0.0012919895007619318
coupled_cpl extractionPatterns(producesProduct, arg1 will release the
arg2 0.008905849241243886)   0.008905849241243886
coupled_cpl extractionPatterns(producesProduct, arg2 and iTunes are
trademarks of arg1 0.010309278128900859)      0.010309278128900859
coupled_cpl extractionPatterns(producesProduct, arg2 are registered
trademarks of arg1 0.010869560620099236)      0.010869560620099236
coupled_cpl extractionPatterns(producesProduct, arg2 are trademarks of
arg1 0.0018964264112259336) 0.0018964264112259336
coupled_cpl extractionPatterns(producesProduct, arg2 debuted and arg1
0.008498581599987653) 0.008498581599987653
coupled_cpl extractionPatterns(producesProduct, arg2 division at arg1
0.002791347011048943) 0.002791347011048943
coupled_cpl extractionPatterns(producesProduct, arg2 is a trademark of
arg1 0.0036381680754304386) 0.0036381680754304386
coupled_cpl extractionPatterns(producesProduct, arg2 is trademark of arg1
0.008498581599987653) 0.008498581599987653
coupled_cpl extractionPatterns(producesProduct, arg2 logo are registered
trademarks of arg1 0.0046565753707309) 0.0046565753707309
coupled_cpl extractionPatterns(producesProduct, arg2 logo are trademarks
of arg1 0.00905432259948069) 0.00905432259948069
coupled_cpl extractionPatterns(producesProduct, arg2 logo is a trademark
of arg1 0.008498581599987653)      0.008498581599987653
coupled_cpl extractionPatterns(producesProduct, arg2 Logo is a trademark
of arg1 0.01133144131233374) 0.01133144131233374
coupled_cpl extractionPatterns(producesProduct, arg2 marketing at arg1
0.008741259431343535) 0.008741259431343535
coupled_cpl extractionPatterns(producesProduct, arg2 operating system and
arg1 0.004938271044674569)   0.004938271044674569
coupled_cpl extractionPatterns(producesProduct, arg2 operating system of
arg1 0.008498581599987653)   0.008498581599987653
coupled_cpl extractionPatterns(producesProduct, arg2 video game system
from arg1 0.002791347011048943)    0.002791347011048943
coupled_cpl extractionPatterns(product, application such as _
0.03650138769774859)   0.03650138769774859
coupled_cpl extractionPatterns(product, binaries for _
0.19918026699671518)   0.19918026699671518
coupled_cpl extractionPatterns(product, certain versions of _
0.21035598852795162)   0.21035598852795162
coupled_cpl extractionPatterns(product, client like _
0.22061195070279413)   0.22061195070279413
coupled_cpl extractionPatterns(product, client such as _
0.24514559000809802)   0.24514559000809802
coupled_cpl extractionPatterns(product, computer running _
0.2213907586707366)    0.2213907586707366
coupled_cpl extractionPatterns(product, computers running _
0.29981100085725687)   0.29981100085725687
coupled_cpl extractionPatterns(product, DD-bit version of _
0.2684490878389345)    0.2684490878389345
coupled_cpl extractionPatterns(product, desktop version of _
0.20772940162120732)   0.20772940162120732
coupled_cpl extractionPatterns(product, earlier versions of _
0.12553458257537636)   0.12553458257537636
coupled_cpl extractionPatterns(product, Earlier versions of _
0.21325044624962375)   0.21325044624962375
coupled_cpl extractionPatterns(product, editor such as _
0.27824451542002276)   0.27824451542002276
coupled_cpl extractionPatterns(product, emulator for _
0.2297436860389831)    0.2297436860389831
coupled_cpl extractionPatterns(product, free version of _
0.22174238474623842)   0.22174238474623842
coupled_cpl extractionPatterns(product, fresh install of _
0.19741108471260738)   0.19741108471260738
coupled_cpl extractionPatterns(productInstanceOf, arg1 as a web arg2
0.0053652516399569595) 0.0053652516399569595
coupled_cpl extractionPatterns(productInstanceOf, arg1 as the underlying
arg2 0.0019990004467043345) 0.0019990004467043345
coupled_cpl extractionPatterns(productInstanceOf, arg1 based operating
arg2 0.036217313536436625)   0.036217313536436625
coupled_cpl extractionPatterns(productInstanceOf, arg1 based web arg2
0.009546535167564152) 0.009546535167564152
coupled_cpl extractionPatterns(productInstanceOf, arg1 brand arg2
1.0476906614718105E-4) 1.0476906614718105E-4
coupled_cpl extractionPatterns(productInstanceOf, arg1 DD or later arg2
2.3220707958417514E-4) 2.3220707958417514E-4
coupled_cpl extractionPatterns(productInstanceOf, arg1 emulation arg2
0.036101097949219424) 0.036101097949219424
coupled_cpl extractionPatterns(productInstanceOf, arg1 is an example of
arg2 2.504172578467657E-4)   2.504172578467657E-4
coupled_cpl extractionPatterns(productInstanceOf, arg1 is an open source
arg2 0.0036801601821148575) 0.0036801601821148575
coupled_cpl extractionPatterns(productInstanceOf, arg1 is the most
popular arg2 1.7580871509899375E-4)      1.7580871509899375E-4
coupled_cpl extractionPatterns(productInstanceOf, arg1 open source arg2
0.0037163658880535176) 0.0037163658880535176
coupled_cpl extractionPatterns(productInstanceOf, arg1 operating arg2
0.05673908363378509)   0.05673908363378509
coupled_cpl extractionPatterns(productInstanceOf, arg1 operating system
arg2 0.010721941818048215)   0.010721941818048215
coupled_cpl extractionPatterns(productInstanceOf, arg1 or Linux arg2
0.008178438819043315) 0.008178438819043315
coupled_cpl extractionPatterns(productInstanceOf, arg1 or Mac arg2
0.023138832783431353) 0.023138832783431353
coupled_cpl extractionPatterns(productInstanceOf, arg1 or Macintosh arg2
0.021126755681686853) 0.021126755681686853
coupled_cpl extractionPatterns(productInstanceOf, arg1 video editing arg2
0.002843601205427735) 0.002843601205427735
coupled_cpl extractionPatterns(productInstanceOf, arg1 Vista operating
arg2 0.6146882808987331)     0.6146882808987331
coupled_cpl extractionPatterns(productInstanceOf, arg1 web arg2
0.002535929607721516) 0.002535929607721516
coupled_cpl extractionPatterns(productInstanceOf, arg1 web server arg2
0.0047393371254790305) 0.0047393371254790305
coupled_cpl extractionPatterns(productInstanceOf, arg1 XP as arg2
0.008178438819043315) 0.008178438819043315
coupled_cpl extractionPatterns(productInstanceOf, arg1 XP compatible arg2
0.009345792845438503) 0.009345792845438503
coupled_cpl extractionPatterns(productInstanceOf, arg2 application like
arg1 0.002004008207918884)   0.002004008207918884
coupled_cpl extractionPatterns(productInstanceOf, arg2 application
similar to arg1 0.0012024044723657902) 0.0012024044723657902
coupled_cpl extractionPatterns(productInstanceOf, arg2 applications like
arg1 0.0012024044723657902) 0.0012024044723657902
coupled_cpl extractionPatterns(productInstanceOf, arg2 applications such
as arg1 7.903892597467706E-4)      7.903892597467706E-4
coupled_cpl extractionPatterns(productInstanceOf, arg2 application such
as arg1 0.013084106887636303)      0.013084106887636303
coupled_cpl extractionPatterns(productInstanceOf, arg2 is written in arg1
0.003384913252423149) 0.003384913252423149
coupled_cpl extractionPatterns(productInstanceOf, arg2 of choice is arg1
0.0029985003458941144) 0.0029985003458941144
coupled_cpl extractionPatterns(productInstanceOf, arg2 package arg1
8.88550566302221E-4)   8.88550566302221E-4
coupled_cpl extractionPatterns(productInstanceOf, arg2 package called
arg1 0.0024987516795345376) 0.0024987516795345376
coupled_cpl extractionPatterns(productInstanceOf, arg2 packages like arg1
0.011214956385061571) 0.011214956385061571
coupled_cpl extractionPatterns(productInstanceOf, arg2 packages such as
arg1 0.0034910769803983394) 0.0034910769803983394
coupled_cpl extractionPatterns(productInstanceOf, arg2 package such as
arg1 0.0016032058469992643) 0.0016032058469992643
coupled_cpl extractionPatterns(productInstanceOf, arg2 products are arg1
3.483105817210432E-4) 3.483105817210432E-4
coupled_cpl extractionPatterns(productInstanceOf, arg2 program like arg1
0.01154068108668915)   0.01154068108668915
coupled_cpl extractionPatterns(productInstanceOf, arg2 program similar to
arg1 3.483105817210432E-4)   3.483105817210432E-4
coupled_cpl extractionPatterns(productInstanceOf, arg2 programs including
arg1 0.0011610354995879903) 0.0011610354995879903
coupled_cpl extractionPatterns(productInstanceOf, arg2 programs like arg1
0.003533568542908986) 0.003533568542908986
coupled_cpl extractionPatterns(productInstanceOf, arg2 programs such as
arg1 0.00245098081961808)    0.00245098081961808
coupled_cpl extractionPatterns(productInstanceOf, arg2 program such as
arg1 0.01627409010463009)    0.01627409010463009
coupled_cpl extractionPatterns(productInstanceOf, arg2 requirements are
arg1 0.0033175358018500533) 0.0033175358018500533
coupled_cpl extractionPatterns(productInstanceOf, arg2 runs under arg1
0.015613380624953948) 0.015613380624953948
coupled_cpl extractionPatterns(productInstanceOf, arg2 software like arg1
0.002590674532292485) 0.002590674532292485
coupled_cpl extractionPatterns(productInstanceOf, arg2 software such as
arg1 0.0036630029127654963) 0.0036630029127654963
coupled_cpl extractionPatterns(productInstanceOf, arg2 that competes with
arg1 0.001163692662720359)   0.001163692662720359
coupled_cpl extractionPatterns(productInstanceOf, arg2 that runs on arg1
0.011951218969391926) 0.011951218969391926
coupled_cpl extractionPatterns(product, language like _
0.2145767061736861)    0.2145767061736861
coupled_cpl extractionPatterns(product, languages like _
0.20012021860362939)   0.20012021860362939
coupled_cpl extractionPatterns(product, language such as _
0.20506485172371877)   0.20506485172371877
coupled_cpl extractionPatterns(product, laptop running _
0.29104482088828204)   0.29104482088828204
coupled_cpl extractionPatterns(product, later versions of _
0.22710632025156424)   0.22710632025156424
coupled_cpl extractionPatterns(product, machine running _
0.2034581390853305)    0.2034581390853305
coupled_cpl extractionPatterns(product, machines running _
0.19617228514680063)   0.19617228514680063
coupled_cpl extractionPatterns(product, major release of _
0.21266970448399036)   0.21266970448399036
coupled_cpl extractionPatterns(product, modern versions of _
0.2045059926534053)    0.2045059926534053
coupled_cpl extractionPatterns(product, newer versions of _
0.21078829298108054)   0.21078829298108054
coupled_cpl extractionPatterns(product, next version of _
0.13715947212531399)   0.13715947212531399
coupled_cpl extractionPatterns(product, older version of _
0.19659883441495457)   0.19659883441495457
coupled_cpl extractionPatterns(product, older versions of _
0.12650024930828777)   0.12650024930828777
coupled_cpl extractionPatterns(product, Older versions of _
0.23296035269560714)   0.23296035269560714
coupled_cpl extractionPatterns(product, other versions of _
0.22471462839915252)   0.22471462839915252
coupled_cpl extractionPatterns(product, PC running _ 0.5614469434540772)
      0.5614469434540772
coupled_cpl extractionPatterns(product, PCs running _ 0.5882354418012953)
      0.5882354418012953
coupled_cpl extractionPatterns(product, platforms , including _
0.2170110511022328)    0.2170110511022328
coupled_cpl extractionPatterns(product, platforms including _
0.33265711638912354)   0.33265711638912354
coupled_cpl extractionPatterns(product, platforms like _
0.22748271989078428)   0.22748271989078428
coupled_cpl extractionPatterns(product, platforms such as _
0.21344544625892498)   0.21344544625892498
coupled_cpl extractionPatterns(product, playable on _
0.07255241592997286)   0.07255241592997286
coupled_cpl extractionPatterns(product, playback on _
0.03530315296181523)   0.03530315296181523
coupled_cpl extractionPatterns(product, plug-in for _ 0.1998760209297326)
      0.1998760209297326
coupled_cpl extractionPatterns(product, previous versions of _
0.2086466766377031)    0.2086466766377031
coupled_cpl extractionPatterns(product, program like _
0.03382906279307362)   0.03382906279307362
coupled_cpl extractionPatterns(product, program such as _
0.035444790154707084) 0.035444790154707084
coupled_cpl extractionPatterns(product, Recent versions of _
0.2152104268420499)    0.2152104268420499
coupled_cpl extractionPatterns(product, recent versions of _
0.2427221270573785)    0.2427221270573785
coupled_cpl extractionPatterns(product, server running _
0.20281237265077104)   0.20281237265077104
coupled_cpl extractionPatterns(product, servers running _
0.24266291008314111)   0.24266291008314111
coupled_cpl extractionPatterns(product, servers such as _
0.23499148489119892)   0.23499148489119892
coupled_cpl extractionPatterns(product, systems running _
0.22432015144653888)   0.22432015144653888
coupled_cpl extractionPatterns(product, text editor for _
0.28762147104312696)   0.28762147104312696
coupled_cpl extractionPatterns(productType, air cooled _
0.17640566877731007)   0.17640566877731007
coupled_cpl extractionPatterns(productType, _ approved for
0.014678550506647578) 0.014678550506647578
coupled_cpl extractionPatterns(productType, beat up _
0.20143893412054795)   0.20143893412054795
coupled_cpl extractionPatterns(productType, buy used _
0.08136232100950133)   0.08136232100950133
coupled_cpl extractionPatterns(productType, cell powered _
0.26516844855881977)   0.26516844855881977
coupled_cpl extractionPatterns(productType, diesel powered _
0.2557727305740303)    0.2557727305740303
coupled_cpl extractionPatterns(productType, engine driven _
0.19642865352331296)   0.19642865352331296
coupled_cpl extractionPatterns(productType, fuel efficient _
0.23379631299001896)   0.23379631299001896
coupled_cpl extractionPatterns(productType, gasoline powered _
0.2607450940613048)    0.2607450940613048
coupled_cpl extractionPatterns(productType, gas powered _
0.2614108425196932)    0.2614108425196932
coupled_cpl extractionPatterns(productType, _ had crashed into
0.2802419336887072)    0.2802419336887072
coupled_cpl extractionPatterns(productType, horse drawn _
0.19118819918754312)   0.19118819918754312
coupled_cpl extractionPatterns(productType, hydrogen powered _
0.25604834619723044)   0.25604834619723044
coupled_cpl extractionPatterns(productType, _ is hosted at
0.1989205062790177)    0.1989205062790177
coupled_cpl extractionPatterns(productType, _ is hosted by
0.22228898708886755)   0.22228898708886755
coupled_cpl extractionPatterns(productType, _ is hosted on
0.16884789481674572)   0.16884789481674572
coupled_cpl extractionPatterns(productType, _ is maintained by
0.1571219537013007)    0.1571219537013007
coupled_cpl extractionPatterns(productType, _ is parked in
0.39926057702599294)   0.39926057702599294
coupled_cpl extractionPatterns(productType, _ is parked on
0.2988764505047602)    0.2988764505047602
coupled_cpl extractionPatterns(productType, _ is updated with
0.17500005338526717)   0.17500005338526717
coupled_cpl extractionPatterns(productType, _ left the road
0.1933593314757605)    0.1933593314757605
coupled_cpl extractionPatterns(productType, make of _
0.10438294280248857)   0.10438294280248857
coupled_cpl extractionPatterns(productType, makes of _
0.17473949746808642)   0.17473949746808642
coupled_cpl extractionPatterns(productType, _ offers information
0.18048673395578596)   0.18048673395578596
coupled_cpl extractionPatterns(productType, _ parked across
0.26020408852967236)   0.26020408852967236
coupled_cpl extractionPatterns(productType, _ parked along
0.34386607990789314)   0.34386607990789314
coupled_cpl extractionPatterns(productType, _ parked at
0.15597664413884554)   0.15597664413884554
coupled_cpl extractionPatterns(productType, _ parked behind
0.26020408852967236)   0.26020408852967236
coupled_cpl extractionPatterns(productType, _ parked by
0.22396846909586982)   0.22396846909586982
coupled_cpl extractionPatterns(productType, _ parked in
0.17528886653429576)   0.17528886653429576
coupled_cpl extractionPatterns(productType, _ parked near
0.2428114652373525)    0.2428114652373525
coupled_cpl extractionPatterns(productType, _ parked on
0.20527494568163204)   0.20527494568163204
coupled_cpl extractionPatterns(productType, _ parked outside
0.21933961432386637)   0.21933961432386637
coupled_cpl extractionPatterns(productType, parts , used _
0.2494382224152448)    0.2494382224152448
coupled_cpl extractionPatterns(productType, quality used _
0.31184406742515103)   0.31184406742515103
coupled_cpl extractionPatterns(productType, radio controlled _
0.18808185725221066)   0.18808185725221066
coupled_cpl extractionPatterns(productType, _ running while
0.055818328264818126) 0.055818328264818126
coupled_cpl extractionPatterns(productType, sale used _
0.20155197306704944)   0.20155197306704944
coupled_cpl extractionPatterns(productType, same class of _
0.048249780520761294) 0.048249780520761294
coupled_cpl extractionPatterns(productType, truck used _
0.21309717428664393)   0.21309717428664393
coupled_cpl extractionPatterns(productType, _ was broken into
0.1869158057771984)    0.1869158057771984
coupled_cpl extractionPatterns(productType, wash with _
0.10122991125893349)   0.10122991125893349
coupled_cpl extractionPatterns(productType, _ was parked at
0.21021614829761048)   0.21021614829761048
coupled_cpl extractionPatterns(productType, _ was parked in
0.25876292084925673)   0.25876292084925673
coupled_cpl extractionPatterns(productType, _ was parked on
0.2516854966687141)    0.2516854966687141
coupled_cpl extractionPatterns(productType, wind powered _
0.2168366443380607)    0.2168366443380607
coupled_cpl extractionPatterns(product, users running _
0.24405711578391942)   0.24405711578391942
coupled_cpl extractionPatterns(professionalOrganization, academic
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coupled_cpl extractionPatterns(scientist, _ discovered gravity
0.15909098622821494)    0.15909098622821494
coupled_cpl extractionPatterns(scientist, _ discovered the moons
0.2727272683991621)     0.2727272683991621
coupled_cpl extractionPatterns(scientist, evolutionary theories of _
0.18666662633193404)    0.18666662633193404
coupled_cpl extractionPatterns(scientist, evolutionists like _
0.23333338760826947)    0.23333338760826947
coupled_cpl extractionPatterns(scientist, evolutionists such as _
0.357143006136159)      0.357143006136159
coupled_cpl extractionPatterns(scientist, evolution proposed by _
0.22222231039474505)    0.22222231039474505
coupled_cpl extractionPatterns(scientist, _ explained the photoelectric
effect 0.47222203068887764) 0.47222203068887764
coupled_cpl extractionPatterns(scientist, famous bearer was _
0.17647059800966608)    0.17647059800966608
coupled_cpl extractionPatterns(scientist, first postulated by _
0.22727262293734563)    0.22727262293734563
coupled_cpl extractionPatterns(scientist, force , named after _
0.22222231039474505)    0.22222231039474505
coupled_cpl extractionPatterns(scientist, gravitation by _
0.14999999773288222)    0.14999999773288222
coupled_cpl extractionPatterns(scientist, great thinkers such as _
0.18750008129470605)   0.18750008129470605
coupled_cpl extractionPatterns(scientist, _ invented the telescope
0.34374987281298963)   0.34374987281298963
coupled_cpl extractionPatterns(scientist, _ is a great physicist
0.14285716415076063)   0.14285716415076063
coupled_cpl extractionPatterns(scientist, mechanistic universe of _
0.22222231039474505)   0.22222231039474505
coupled_cpl extractionPatterns(scientist, modern philosophers such as _
0.2777777348505767)    0.2777777348505767
coupled_cpl extractionPatterns(scientist, naturalists such as _
0.1851851765870796)    0.1851851765870796
coupled_cpl extractionPatterns(scientist, natural philosophy of _
0.19230762030527918)   0.19230762030527918
coupled_cpl extractionPatterns(scientist, obvious conclusion of _
0.14999999773288222)   0.14999999773288222
coupled_cpl extractionPatterns(scientist, phenomenon predicted by _
0.2727272683991621)    0.2727272683991621
coupled_cpl extractionPatterns(scientist, physicist like _
0.23809512506891317)   0.23809512506891317
coupled_cpl extractionPatterns(scientist, physicists including _
0.09523811972985817)   0.09523811972985817
coupled_cpl extractionPatterns(scientist, physicists , including _
0.18309850358505103)   0.18309850358505103
coupled_cpl extractionPatterns(scientist, physicists like _
0.07258064430983352)   0.07258064430983352
coupled_cpl extractionPatterns(scientist, physicists , such as _
0.07142859497252234)   0.07142859497252234
coupled_cpl extractionPatterns(scientist, physicists such as _
0.07142859497252234)   0.07142859497252234
coupled_cpl extractionPatterns(scientist, physicist such as _
0.17647059800966608)   0.17647059800966608
coupled_cpl extractionPatterns(scientist, physics under _
0.12790697974426174)   0.12790697974426174
coupled_cpl extractionPatterns(scientist, _ published On
0.24107142984688093)   0.24107142984688093
coupled_cpl extractionPatterns(scientist, _ publishes theory
0.17647059800966608)   0.17647059800966608
coupled_cpl extractionPatterns(scientist, quantum theory by _
0.17647059800966608)   0.17647059800966608
coupled_cpl extractionPatterns(scientist, _ recanted on
0.18181819858880538)   0.18181819858880538
coupled_cpl extractionPatterns(scientist, relativity theory of _
0.2727272683991621)    0.2727272683991621
coupled_cpl extractionPatterns(scientist, scientific biography of _
0.17647059800966608)   0.17647059800966608
coupled_cpl extractionPatterns(scientist, scientist since _
0.22033900209787158)   0.22033900209787158
coupled_cpl extractionPatterns(scientist, Scientists such as _
0.15384618106178571)   0.15384618106178571
coupled_cpl extractionPatterns(scientist, special relativity by _
0.19444440349460365)   0.19444440349460365
coupled_cpl extractionPatterns(scientist, theory formulated by _
0.17647059800966608)   0.17647059800966608
coupled_cpl extractionPatterns(scientist, theory founded by _
0.16666674487136082)   0.16666674487136082
coupled_cpl extractionPatterns(scientist, Thinkers include _
0.17647059800966608)   0.17647059800966608
coupled_cpl extractionPatterns(scientist, thought experiment by _
0.22222231039474505)   0.22222231039474505
coupled_cpl extractionPatterns(scientist, _ undermined the very
foundations 0.17391301822769906) 0.17391301822769906
coupled_cpl extractionPatterns(scientist, unit is named after _
0.14285716415076063)   0.14285716415076063
coupled_cpl extractionPatterns(scientist, _ was a brilliant mathematician
0.1282050940635361)    0.1282050940635361
coupled_cpl extractionPatterns(shape, apples into thin _
0.8571425827091225)    0.8571425827091225
coupled_cpl extractionPatterns(shape, beef into thin _
0.9166670122405591)    0.9166670122405591
coupled_cpl extractionPatterns(shape, bread cut into small _
0.6249997682786277)    0.6249997682786277
coupled_cpl extractionPatterns(shape, bread into D-inch _
0.7058821371305383)    0.7058821371305383
coupled_cpl extractionPatterns(shape, breast into thin _
0.8888889205834525)    0.8888889205834525
coupled_cpl extractionPatterns(shape, cake into D-inch _
0.6999999607571137)    0.6999999607571137
coupled_cpl extractionPatterns(shape, carrots into thin _
0.727272531722597)     0.727272531722597
coupled_cpl extractionPatterns(shape, cheese cut into _
0.7500000543388377)    0.7500000543388377
coupled_cpl extractionPatterns(shape, cheese into D-inch _
0.6249997682786277)    0.6249997682786277
coupled_cpl extractionPatterns(shape, cheese into small _
0.31914906402380705)   0.31914906402380705
coupled_cpl extractionPatterns(shape, cheese into thin _
0.8999995640921492)    0.8999995640921492
coupled_cpl extractionPatterns(shape, chicken into thin _
0.8437500310461172)    0.8437500310461172
coupled_cpl extractionPatterns(shape, cold , cut in _ 0.6666667387387801)
      0.6666667387387801
coupled_cpl extractionPatterns(shape, cool , cut into _
0.40476201575862447)   0.40476201575862447
coupled_cpl extractionPatterns(shape, crosswise into thin _
0.6923075400867749)    0.6923075400867749
coupled_cpl extractionPatterns(shape, cut in thin _ 0.6666667387387801)
      0.6666667387387801
coupled_cpl extractionPatterns(shape, flesh into thin _
0.8888889205834525)    0.8888889205834525
coupled_cpl extractionPatterns(shape, fruit into thin _
0.6249997682786277)    0.6249997682786277
coupled_cpl extractionPatterns(shape, geometric figures such as _
0.5238096101988442)    0.5238096101988442
coupled_cpl extractionPatterns(shape, geometric objects such as _
0.41860480093847235)   0.41860480093847235
coupled_cpl extractionPatterns(shape, grain into thin _
0.8431368476927027)    0.8431368476927027
coupled_cpl extractionPatterns(shape, half into thin _
0.6249997682786277)    0.6249997682786277
coupled_cpl extractionPatterns(shape, ham into thin _ 0.8750003435465248)
      0.8750003435465248
coupled_cpl extractionPatterns(shape, history of magic _
0.38888873677147195)   0.38888873677147195
coupled_cpl extractionPatterns(shape, hot , cut into _
0.6249997682786277)    0.6249997682786277
coupled_cpl extractionPatterns(shape, lemon into thin _
0.9090910725494009)    0.9090910725494009
coupled_cpl extractionPatterns(shape, lengthwise into thin _
0.9166670122405591)    0.9166670122405591
coupled_cpl extractionPatterns(shape, meat , cut into _
0.6666667387387801)    0.6666667387387801
coupled_cpl extractionPatterns(shape, meat in thin _ 0.8181815690145253)
      0.8181815690145253
coupled_cpl extractionPatterns(shape, meat into D-inch _
0.6153845020195187)    0.6153845020195187
coupled_cpl extractionPatterns(shape, meat into thin _
0.8684207037520932)    0.8684207037520932
coupled_cpl extractionPatterns(shape, meat was cut into _
0.7999996410514483)    0.7999996410514483
coupled_cpl extractionPatterns(shape, mushrooms into thin _
0.8750003435465248)    0.8750003435465248
coupled_cpl extractionPatterns(shape, onion into thin _
0.6153845020195187)    0.6153845020195187
coupled_cpl extractionPatterns(shape, onions into thin _
0.6666667387387801)    0.6666667387387801
coupled_cpl extractionPatterns(shape, pan , cut into _
0.6153845020195187)    0.6153845020195187
coupled_cpl extractionPatterns(shape, pattern of concentric _
0.5087721525894209)    0.5087721525894209
coupled_cpl extractionPatterns(shape, peppers into thin _
0.9230766532371499)    0.9230766532371499
coupled_cpl extractionPatterns(shape, polygons such as _
0.31578931892794915)   0.31578931892794915
coupled_cpl extractionPatterns(shape, pork into thin _
0.7857143303561276)    0.7857143303561276
coupled_cpl extractionPatterns(shape, potatoes into D-inch _
0.8666665311552608)    0.8666665311552608
coupled_cpl extractionPatterns(shape, potatoes into thick _
0.6428569836079735)    0.6428569836079735
coupled_cpl extractionPatterns(shape, potatoes into thin _
0.8571425827091225)    0.8571425827091225
coupled_cpl extractionPatterns(shape, room temperature , cut into _
0.8461539177919128)    0.8461539177919128
coupled_cpl extractionPatterns(shape, series of concentric _
0.4810813001395659)    0.4810813001395659
coupled_cpl extractionPatterns(shape, set of concentric _
0.5188678772488493)    0.5188678772488493
coupled_cpl extractionPatterns(shape, steak into thin _
0.9166670122405591)    0.9166670122405591
coupled_cpl extractionPatterns(shape, tomatoes into thin _
0.6666667387387801)    0.6666667387387801
coupled_cpl extractionPatterns(shape, vegetables into thin _
0.8750003435465248)     0.8750003435465248
coupled_cpl extractionPatterns(shape, warm , cut into _
0.47368440086698504)    0.47368440086698504
coupled_cpl extractionPatterns(sport, adventure activities such as _
0.610169189765938)      0.610169189765938
coupled_cpl extractionPatterns(sport, _ are all popular activities
0.6060607805530489)     0.6060607805530489
coupled_cpl extractionPatterns(sport, _ are popular activities
0.5527778920511424)     0.5527778920511424
coupled_cpl extractionPatterns(sport, _ are popular pastimes
0.5922330831789929)     0.5922330831789929
coupled_cpl extractionPatterns(sport, athlete , playing _
0.707317240605317)      0.707317240605317
coupled_cpl extractionPatterns(sport, body for amateur _
0.7317070866162454)     0.7317070866162454
coupled_cpl extractionPatterns(sport, cycling , playing _
0.5625000815082595)     0.5625000815082595
coupled_cpl extractionPatterns(sport, favorite sport is _
0.5396826485771955)     0.5396826485771955
coupled_cpl extractionPatterns(sport, favorite sports are _
0.723076683149612)      0.723076683149612
coupled_cpl extractionPatterns(sport, game of indoor _
0.5517241973774889)     0.5517241973774889
coupled_cpl extractionPatterns(sport, game of professional _
0.6388887116144715)     0.6388887116144715
coupled_cpl extractionPatterns(sport, great lakes for _
0.7804879328035861)     0.7804879328035861
coupled_cpl extractionPatterns(sport, great sport of _
0.5299540363842489)     0.5299540363842489
coupled_cpl extractionPatterns(sport, letterman in _ 0.585526404270784)
      0.585526404270784
coupled_cpl extractionPatterns(sport, letterwinner in _
0.5433068594365191)     0.5433068594365191
coupled_cpl extractionPatterns(sport, letter winner in _
0.565656655821913)      0.565656655821913
coupled_cpl extractionPatterns(sport, lounge , outdoor _
0.7368418470377582)     0.7368418470377582
coupled_cpl extractionPatterns(sport, many sports including _
0.5714284502488258)     0.5714284502488258
coupled_cpl extractionPatterns(sport, outdoor activities , including _
0.5512196006251078)     0.5512196006251078
coupled_cpl extractionPatterns(sport, outdoor activities including _
0.611494083065904)      0.611494083065904
coupled_cpl extractionPatterns(sport, outdoor activities like _
0.5942405947262648)     0.5942405947262648
coupled_cpl extractionPatterns(sport, outdoor activities such as _
0.5269924799959419)     0.5269924799959419
coupled_cpl extractionPatterns(sport, outdoor activities , such as _
0.5448275262505597)     0.5448275262505597
coupled_cpl extractionPatterns(sport, outdoor pursuits including _
0.6944445233249414)     0.6944445233249414
coupled_cpl extractionPatterns(sport, outdoor pursuits such as _
0.626865672336106)      0.626865672336106
coupled_cpl extractionPatterns(sport, outdoor recreation , including _
0.6575345294732664)    0.6575345294732664
coupled_cpl extractionPatterns(sport, outdoor recreation such as _
0.6794871204652064)    0.6794871204652064
coupled_cpl extractionPatterns(sport, pickup game of _
0.6428569836079735)    0.6428569836079735
coupled_cpl extractionPatterns(sport, recreational activities including _
0.5335465276249822)    0.5335465276249822
coupled_cpl extractionPatterns(sport, recreational activities such as _
0.5779626683646734)    0.5779626683646734
coupled_cpl extractionPatterns(sport, recreational opportunities ,
including _ 0.5913045980585377)    0.5913045980585377
coupled_cpl extractionPatterns(sport, recreational opportunities
including _ 0.6134969416065467)    0.6134969416065467
coupled_cpl extractionPatterns(sport, recreational opportunities , such
as _ 0.5952379722709458)     0.5952379722709458
coupled_cpl extractionPatterns(sport, recreational opportunities such as
_ 0.7218044656268894) 0.7218044656268894
coupled_cpl extractionPatterns(sport, recreational uses such as _
0.6097562450220343)    0.6097562450220343
coupled_cpl extractionPatterns(sport, recreation including _
0.5657143557434529)    0.5657143557434529
coupled_cpl extractionPatterns(sport, recreation opportunities ,
including _ 0.6206896999181246)    0.6206896999181246
coupled_cpl extractionPatterns(sport, recreation , such as _
0.5757573352637095)    0.5757573352637095
coupled_cpl extractionPatterns(sport, retirement from professional _
0.5731705285493914)    0.5731705285493914
coupled_cpl extractionPatterns(sportsEquipment, _ beats the runner
0.22727262293734563)   0.22727262293734563
coupled_cpl extractionPatterns(sportsEquipment, _ bouncing over
0.025000011352850984) 0.025000011352850984
coupled_cpl extractionPatterns(sportsEquipment, boys kicking _
0.0312499969624916)    0.0312499969624916
coupled_cpl extractionPatterns(sportsEquipment, _ crosses the goal line
0.47540985231833277)   0.47540985231833277
coupled_cpl extractionPatterns(sportsEquipment, _ gets a blackjack
0.43999980291076946)   0.43999980291076946
coupled_cpl extractionPatterns(sportsEquipment, _ gets an ace
0.32000009062028956)   0.32000009062028956
coupled_cpl extractionPatterns(sportsEquipment, _ goes out-of-bounds
0.16000007419974682)   0.16000007419974682
coupled_cpl extractionPatterns(sportsEquipment, _ handling skills
0.2977777131044578)    0.2977777131044578
coupled_cpl extractionPatterns(sportsEquipment, _ has a blackjack
0.17543862716500347)   0.17543862716500347
coupled_cpl extractionPatterns(sportsEquipment, _ has blackjack
0.3982302194902068)    0.3982302194902068
coupled_cpl extractionPatterns(sportsEquipment, _ hit off
0.1451612624093551)    0.1451612624093551
coupled_cpl extractionPatterns(sportsEquipment, _ hit over
0.025073744905650557) 0.025073744905650557
coupled_cpl extractionPatterns(sportsEquipment, _ hits the rim
0.4893618909140982)    0.4893618909140982
coupled_cpl extractionPatterns(sportsEquipment,   _ hit the stumps
0.13924044780197634)   0.13924044780197634
coupled_cpl extractionPatterns(sportsEquipment,   _ hitting the ball
0.013605447703658149) 0.013605447703658149
coupled_cpl extractionPatterns(sportsEquipment,   _ is thrown like
0.16000007419974682)   0.16000007419974682
coupled_cpl extractionPatterns(sportsEquipment,   kids kicking _
0.025000011352850984) 0.025000011352850984
coupled_cpl extractionPatterns(sportsEquipment,   _ lofted into
0.1515150983382487)    0.1515150983382487
coupled_cpl extractionPatterns(sportsEquipment,   mind is playing _
0.7115383234553309)    0.7115383234553309
coupled_cpl extractionPatterns(sportsEquipment,   mind plays _
0.28968243724010284)   0.28968243724010284
coupled_cpl extractionPatterns(sportsEquipment,   minds play _
0.5333331516919638)    0.5333331516919638
coupled_cpl extractionPatterns(sportsEquipment,   _ missed the stumps
0.18181819858880538)   0.18181819858880538
coupled_cpl extractionPatterns(sportsEquipment,   ping pong _
0.6884614181011041)    0.6884614181011041
coupled_cpl extractionPatterns(sportsEquipment,   players take _
0.25119116906551847)   0.25119116906551847
coupled_cpl extractionPatterns(sportsEquipment,   _ plays a card
0.37500009487940933)   0.37500009487940933
coupled_cpl extractionPatterns(sportsEquipment,   _ possesses the ball
0.16000007419974682)   0.16000007419974682
coupled_cpl extractionPatterns(sportsEquipment,   _ raising efforts
0.7664544564368581)    0.7664544564368581
coupled_cpl extractionPatterns(sportsEquipment,   _ raising event
0.8136052349208408)    0.8136052349208408
coupled_cpl extractionPatterns(sportsEquipment,   _ raising for
0.23055565323125762)   0.23055565323125762
coupled_cpl extractionPatterns(sportsEquipment,   _ raising initiatives
0.6562503052063952)    0.6562503052063952
coupled_cpl extractionPatterns(sportsEquipment,   _ raising projects
0.7615061732366522)    0.7615061732366522
coupled_cpl extractionPatterns(sportsEquipment,   _ rolling after
0.2586206403735071)    0.2586206403735071
coupled_cpl extractionPatterns(sportsEquipment,   _ rolling by
0.5178570707448547)    0.5178570707448547
coupled_cpl extractionPatterns(sportsEquipment,   _ rolling for
0.46911750415871767)   0.46911750415871767
coupled_cpl extractionPatterns(sportsEquipment,   _ rolling if
0.31914906402380705)   0.31914906402380705
coupled_cpl extractionPatterns(sportsEquipment,   _ rolling on
0.20344837332903443)   0.20344837332903443
coupled_cpl extractionPatterns(sportsEquipment,   _ rolling the die
0.19672135364957388)   0.19672135364957388
coupled_cpl extractionPatterns(sportsEquipment,   _ rolling towards
0.20359287296539874)   0.20359287296539874
coupled_cpl extractionPatterns(sportsEquipment,   _ rolling with
0.2752490375568481)    0.2752490375568481
coupled_cpl extractionPatterns(sportsEquipment,   scientists have played _
0.4250000467745336)    0.4250000467745336
coupled_cpl extractionPatterns(sportsEquipment, sensitization plays _
0.8125002963823778)    0.8125002963823778
coupled_cpl extractionPatterns(sportsEquipment, _ shuffles the cards
0.38666677630595225)   0.38666677630595225
coupled_cpl extractionPatterns(sportsEquipment, straight flying _
0.23809512506891317)   0.23809512506891317
coupled_cpl extractionPatterns(sportsEquipment, tennis court with _
0.0312499969624916)    0.0312499969624916
coupled_cpl extractionPatterns(sportsEquipment, _ was misplayed by
0.22727262293734563)   0.22727262293734563
coupled_cpl extractionPatterns(sportsEquipment, water touring _
0.22727262293734563)   0.22727262293734563
coupled_cpl extractionPatterns(sportsLeague, active streak in _
0.18750008129470605)   0.18750008129470605
coupled_cpl extractionPatterns(sportsLeague, average pitcher in _
0.23076924664463755)   0.23076924664463755
coupled_cpl extractionPatterns(sportsLeague, _ awarded an expansion
franchise 0.16666674487136082)     0.16666674487136082
coupled_cpl extractionPatterns(sportsLeague, bad teams in _
0.20833331623205179)   0.20833331623205179
coupled_cpl extractionPatterns(sportsLeague, _ batting champion
0.2666666239952886)    0.2666666239952886
coupled_cpl extractionPatterns(sportsLeague, batting title for _
0.42857136873737717)   0.42857136873737717
coupled_cpl extractionPatterns(sportsLeague, _ betting stats
0.14754102592679014)   0.14754102592679014
coupled_cpl extractionPatterns(sportsLeague, charter franchises of _
0.42857136873737717)   0.42857136873737717
coupled_cpl extractionPatterns(sportsLeague, cover athlete for _
0.20833331623205179)   0.20833331623205179
coupled_cpl extractionPatterns(sportsLeague, cover corner in _
0.22222231039474505)   0.22222231039474505
coupled_cpl extractionPatterns(sportsLeague, DD-time winner on _
0.2105262353782364)    0.2105262353782364
coupled_cpl extractionPatterns(sportsLeague, defensive first baseman in _
0.22222231039474505)   0.22222231039474505
coupled_cpl extractionPatterns(sportsLeague, defensive third basemen in _
0.22222231039474505)   0.22222231039474505
coupled_cpl extractionPatterns(sportsLeague, developmental league for _
0.16393438871791666)   0.16393438871791666
coupled_cpl extractionPatterns(sportsLeague, elite team in _
0.17021277617535738)   0.17021277617535738
coupled_cpl extractionPatterns(sportsLeague, favorite player in _
0.18309850358505103)   0.18309850358505103
coupled_cpl extractionPatterns(sportsLeague, favorite team is in _
0.3636363315194487)    0.3636363315194487
coupled_cpl extractionPatterns(sportsLeague, fifth-best defense in _
0.5714284502488258)    0.5714284502488258
coupled_cpl extractionPatterns(sportsLeague, first African-American
player in _ 0.30769230656666036) 0.30769230656666036
coupled_cpl extractionPatterns(sportsLeague, first black player in _
0.36000008911152426)   0.36000008911152426
coupled_cpl extractionPatterns(sportsLeague, franchise joined _
0.5000000902799808)    0.5000000902799808
coupled_cpl extractionPatterns(sportsLeague,   game second in _
0.294117774006532)     0.294117774006532
coupled_cpl extractionPatterns(sportsLeague,   game third in _
0.22222231039474505)   0.22222231039474505
coupled_cpl extractionPatterns(sportsLeague,   goals against average in _
0.18181819858880538)   0.18181819858880538
coupled_cpl extractionPatterns(sportsLeague,   golf , behind _
0.42857136873737717)   0.42857136873737717
coupled_cpl extractionPatterns(sportsLeague,   great pitching in _
0.22222231039474505)   0.22222231039474505
coupled_cpl extractionPatterns(sportsLeague,   _ has home field advantage
0.18750008129470605)   0.18750008129470605
coupled_cpl extractionPatterns(sportsLeague,   hated player in _
0.21621629642474752)   0.21621629642474752
coupled_cpl extractionPatterns(sportsLeague,   highest-scoring team in _
0.22222231039474505)   0.22222231039474505
coupled_cpl extractionPatterns(sportsLeague,   _ is a better league
0.2857142767129624)    0.2857142767129624
coupled_cpl extractionPatterns(sportsLeague,   _ is the only league
0.21621629642474752)   0.21621629642474752
coupled_cpl extractionPatterns(sportsLeague,   Jewish players in _
0.2857142767129624)    0.2857142767129624
coupled_cpl extractionPatterns(sportsLeague,   league became _
0.21874994613159704)   0.21874994613159704
coupled_cpl extractionPatterns(sportsLeague,   minor league for _
0.24324332480466354)   0.24324332480466354
coupled_cpl extractionPatterns(sportsLeague,   offensive guard in _
0.20833331623205179)   0.20833331623205179
coupled_cpl extractionPatterns(sportsLeague,   offensive linemen in _
0.16393438871791666)   0.16393438871791666
coupled_cpl extractionPatterns(sportsLeague,   pitcher-friendly park in _
0.42857136873737717)   0.42857136873737717
coupled_cpl extractionPatterns(sportsLeague,   radio partner of _
0.42857136873737717)   0.42857136873737717
coupled_cpl extractionPatterns(sportsLeague,   _ rebounding champion
0.22222231039474505)   0.22222231039474505
coupled_cpl extractionPatterns(sportsLeague,   road wins in _
0.22727262293734563)   0.22727262293734563
coupled_cpl extractionPatterns(sportsLeague,   _ rushing champion
0.6521739227132215)    0.6521739227132215
coupled_cpl extractionPatterns(sportsLeague,   _ rushing title
0.3770490476986416)    0.3770490476986416
coupled_cpl extractionPatterns(sportsLeague,   scoring teams in _
0.13953483439054465)   0.13953483439054465
coupled_cpl extractionPatterns(sportsLeague,   shooting team in _
0.18032779516598796)   0.18032779516598796
coupled_cpl extractionPatterns(sportsLeague,   solid teams in _
0.42857136873737717)   0.42857136873737717
coupled_cpl extractionPatterns(sportsLeague,   team batting average in _
0.37500009487940933)   0.37500009487940933
coupled_cpl extractionPatterns(sportsLeague,   third-best record in _
0.29999994129778657)   0.29999994129778657
coupled_cpl extractionPatterns(sportsLeague,   third-best team in _
0.3999998927496764)    0.3999998927496764
coupled_cpl extractionPatterns(sportsLeague, up-and-coming team in _
0.37500009487940933)   0.37500009487940933
coupled_cpl extractionPatterns(sportsLeague, wild card spot in _
0.294117774006532)     0.294117774006532
coupled_cpl extractionPatterns(sport, sporting activities including _
0.6206896999181246)    0.6206896999181246
coupled_cpl extractionPatterns(sport, sport of professional _
0.5842694590993283)    0.5842694590993283
coupled_cpl extractionPatterns(sport, sports activities such as _
0.4946237037263615)    0.4946237037263615
coupled_cpl extractionPatterns(sport, sports except _ 0.5576922455625736)
      0.5576922455625736
coupled_cpl extractionPatterns(sport, sports other than _
0.5221240895008389)    0.5221240895008389
coupled_cpl extractionPatterns(sport, sports ranging from _
0.5000000902799808)    0.5000000902799808
coupled_cpl extractionPatterns(sport, sport such as _ 0.5855515824474945)
      0.5855515824474945
coupled_cpl extractionPatterns(sportsTeam, agent contract with _
0.3771931079486184)    0.3771931079486184
coupled_cpl extractionPatterns(sportsTeam, _ are a better team
0.17154820039464497)   0.17154820039464497
coupled_cpl extractionPatterns(sportsTeam, _ are D-D ATS
0.5013403837039931)    0.5013403837039931
coupled_cpl extractionPatterns(sportsTeam, _ are D-D-D ATS
0.3421051955116655)    0.3421051955116655
coupled_cpl extractionPatterns(sportsTeam, _ are the better team
0.17032975252936666)   0.17032975252936666
coupled_cpl extractionPatterns(sportsTeam, _ are the only team
0.19756097660268074)   0.19756097660268074
coupled_cpl extractionPatterns(sportsTeam, base coach for _
0.4318180327337665)    0.4318180327337665
coupled_cpl extractionPatterns(sportsTeam, baseman for _
0.1749048792459386)    0.1749048792459386
coupled_cpl extractionPatterns(sportsTeam, _ beat writer
0.2850878216615194)    0.2850878216615194
coupled_cpl extractionPatterns(sportsTeam, bench coach for _
0.5000000902799808)    0.5000000902799808
coupled_cpl extractionPatterns(sportsTeam, contact with wild _
0.4100418710442354)    0.4100418710442354
coupled_cpl extractionPatterns(sportsTeam, defensive end for _
0.34453796203949427)   0.34453796203949427
coupled_cpl extractionPatterns(sportsTeam, defensive tackle for _
0.42553205453451975)   0.42553205453451975
coupled_cpl extractionPatterns(sportsTeam, draft choice of _
0.45689667853773197)   0.45689667853773197
coupled_cpl extractionPatterns(sportsTeam, draft pick by _
0.452380789124354)     0.452380789124354
coupled_cpl extractionPatterns(sportsTeam, draft pick of _
0.5779222123938633)    0.5779222123938633
coupled_cpl extractionPatterns(sportsTeam, _ enter this game
0.801470591045978)     0.801470591045978
coupled_cpl extractionPatterns(sportsTeam, farm team for _
0.39080443904953055)   0.39080443904953055
coupled_cpl extractionPatterns(sportsTeam,   farm team of _
0.40517224742784785)   0.40517224742784785
coupled_cpl extractionPatterns(sportsTeam,   favorite team is _
0.14222229324868527)   0.14222229324868527
coupled_cpl extractionPatterns(sportsTeam,   first-round pick of _
0.40277789419248705)   0.40277789419248705
coupled_cpl extractionPatterns(sportsTeam,   free agent by _
0.4913792726421861)    0.4913792726421861
coupled_cpl extractionPatterns(sportsTeam,   free agent with _
0.18974352255910074)   0.18974352255910074
coupled_cpl extractionPatterns(sportsTeam,   _ have a D-D lead
0.4250000467745336)    0.4250000467745336
coupled_cpl extractionPatterns(sportsTeam,   head coaching job with _
0.5666666879766993)    0.5666666879766993
coupled_cpl extractionPatterns(sportsTeam,   _ Includes headlines
0.5000000902799808)    0.5000000902799808
coupled_cpl extractionPatterns(sportsTeam,   _ lead the all-time series
0.3313251697098091)    0.3313251697098091
coupled_cpl extractionPatterns(sportsTeam,   league affiliate of _
0.48809510735357986)   0.48809510735357986
coupled_cpl extractionPatterns(sportsTeam,   league contract with _
0.43103456279234303)   0.43103456279234303
coupled_cpl extractionPatterns(sportsTeam,   league debut with _
0.6315791553969439)    0.6315791553969439
coupled_cpl extractionPatterns(sportsTeam,   major league career with _
0.511111251074395)     0.511111251074395
coupled_cpl extractionPatterns(sportsTeam,   major leagues with _
0.4035087928741095)    0.4035087928741095
coupled_cpl extractionPatterns(sportsTeam,   offensive coordinator of _
0.416666557230806)     0.416666557230806
coupled_cpl extractionPatterns(sportsTeam,   offensive coordinator with _
0.4333333438202682)    0.4333333438202682
coupled_cpl extractionPatterns(sportsTeam,   one-year deal with _
0.34615383254489884)   0.34615383254489884
coupled_cpl extractionPatterns(sportsTeam,   _ opening day tickets
0.4583331305436001)    0.4583331305436001
coupled_cpl extractionPatterns(sportsTeam,   outfielder for _
0.3072289634773718)    0.3072289634773718
coupled_cpl extractionPatterns(sportsTeam,   playoff game against _
0.19138752111978857)   0.19138752111978857
coupled_cpl extractionPatterns(sportsTeam,   preseason game against _
0.3647059013195332)    0.3647059013195332
coupled_cpl extractionPatterns(sportsTeam,   relief pitcher for _
0.5853659920134966)    0.5853659920134966
coupled_cpl extractionPatterns(sportsTeam,   _ run defense
0.3072289634773718)    0.3072289634773718
coupled_cpl extractionPatterns(sportsTeam,   _ sent a player
0.6052631238772754)    0.6052631238772754
coupled_cpl extractionPatterns(sportsTeam,   species of migratory _
0.6444442251940712)    0.6444442251940712
coupled_cpl extractionPatterns(sportsTeam,   spring training home of _
0.5000000902799808)    0.5000000902799808
coupled_cpl extractionPatterns(sportsTeam,   starts against _
0.38775522571307147)   0.38775522571307147
coupled_cpl extractionPatterns(sportsTeam, team affiliated with _
0.4305555187563652)    0.4305555187563652
coupled_cpl extractionPatterns(sportsTeam, Under is D-D in _
0.26359828037246685)   0.26359828037246685
coupled_cpl extractionPatterns(sportsTeam, _ were the first team
0.15981729859109578)   0.15981729859109578
coupled_cpl extractionPatterns(sportsTeam, wide receiver for _
0.37254889054119533)   0.37254889054119533
coupled_cpl extractionPatterns(sportsTeam, _ won the pennant
0.2951808676027458)    0.2951808676027458
coupled_cpl extractionPatterns(sport, tennis courts , outdoor _
0.6176471124925761)    0.6176471124925761
coupled_cpl extractionPatterns(sportUsesEquipment, arg1 and baseball arg2
8.47697252057676E-4)   8.47697252057676E-4
coupled_cpl extractionPatterns(sportUsesEquipment, arg1 and basketball
arg2 0.0019309677053296079) 0.0019309677053296079
coupled_cpl extractionPatterns(sportUsesEquipment, arg1 and cricket arg2
0.004273504766485934) 0.004273504766485934
coupled_cpl extractionPatterns(sportUsesEquipment, arg1 and softball arg2
0.0032573281680365754) 0.0032573281680365754
coupled_cpl extractionPatterns(sportUsesEquipment, arg1 ball and arg2
0.00227445003195424)   0.00227445003195424
coupled_cpl extractionPatterns(sportUsesEquipment, arg1 club arg2
2.2330075902437564E-4) 2.2330075902437564E-4
coupled_cpl extractionPatterns(sportUsesEquipment, arg1 clubs and arg2
3.3641703231791623E-4) 3.3641703231791623E-4
coupled_cpl extractionPatterns(sportUsesEquipment, arg1 equipment arg2
5.146153101493001E-5) 5.146153101493001E-5
coupled_cpl extractionPatterns(sportUsesEquipment, arg1 nba arg2
0.0026972352825840634) 0.0026972352825840634
coupled_cpl extractionPatterns(sportUsesEquipment, arg1 off a arg2
1.7752537526980467E-4) 1.7752537526980467E-4
coupled_cpl extractionPatterns(sportUsesEquipment, arg1 or baseball arg2
0.007692311157351414) 0.007692311157351414
coupled_cpl extractionPatterns(sportUsesEquipment, arg1 or football arg2
0.020086084843663927) 0.020086084843663927
coupled_cpl extractionPatterns(sportUsesEquipment, arg1 or hockey arg2
0.005494503775147497) 0.005494503775147497
coupled_cpl extractionPatterns(sportUsesEquipment, arg1 team arg2
1.3363304294626704E-4) 1.3363304294626704E-4
coupled_cpl extractionPatterns(sportUsesEquipment, arg1 with a real arg2
3.3687049139657455E-4) 3.3687049139657455E-4
coupled_cpl extractionPatterns(sportUsesEquipment, arg1 without a arg2
1.3747300326854095E-4) 1.3747300326854095E-4
coupled_cpl extractionPatterns(sportUsesEquipment, arg1 youth arg2
9.423734605623873E-5) 9.423734605623873E-5
coupled_cpl extractionPatterns(sportUsesEquipment, arg2 and the game of
arg1 0.0016856298277553791) 0.0016856298277553791
coupled_cpl extractionPatterns(sportUsesEquipment, arg2 ever to play arg1
0.015384619536856511) 0.015384619536856511
coupled_cpl extractionPatterns(sportUsesEquipment, arg2 in a game of arg1
0.0013976234786814623) 0.0013976234786814623
coupled_cpl extractionPatterns(sportUsesEquipment, arg2 in all of arg1
5.62016134167257E-4)   5.62016134167257E-4
coupled_cpl extractionPatterns(sportUsesEquipment, arg2 in college arg1
0.01047177224039902)   0.01047177224039902
coupled_cpl extractionPatterns(sportUsesEquipment, arg2 in professional
arg1 2.969122254638623E-4)   2.969122254638623E-4
coupled_cpl extractionPatterns(sportUsesEquipment, arg2 in the history of
arg1 5.78439845682457E-4)    5.78439845682457E-4
coupled_cpl extractionPatterns(sportUsesEquipment, arg2 when playing arg1
0.0012642224624116996) 0.0012642224624116996
coupled_cpl extractionPatterns(sport, various sports including _
0.707317240605317)     0.707317240605317
coupled_cpl extractionPatterns(sport, water sports including _
0.544973559595189)     0.544973559595189
coupled_cpl extractionPatterns(sport, winter activities such as _
0.6779660947740903)    0.6779660947740903
coupled_cpl extractionPatterns(stadium, ball game at _
0.2537314131446477)    0.2537314131446477
coupled_cpl extractionPatterns(stadium, ballpark like _
0.22222231039474505)   0.22222231039474505
coupled_cpl extractionPatterns(stadium, ballpark than _
0.250000090279989)     0.250000090279989
coupled_cpl extractionPatterns(stadium, baseball fans at _
0.250000090279989)     0.250000090279989
coupled_cpl extractionPatterns(stadium, baseball games at _
0.23232314734067336)   0.23232314734067336
coupled_cpl extractionPatterns(stadium, blowout win at _
0.250000090279989)     0.250000090279989
coupled_cpl extractionPatterns(stadium, center field at _
0.18181819858880538)   0.18181819858880538
coupled_cpl extractionPatterns(stadium, centerfield at _
0.23529411363207658)   0.23529411363207658
coupled_cpl extractionPatterns(stadium, centerfield of _
0.250000090279989)     0.250000090279989
coupled_cpl extractionPatterns(stadium, charity game at _
0.3333334295560505)    0.3333334295560505
coupled_cpl extractionPatterns(stadium, college football championship
games at _ 0.250000090279989)      0.250000090279989
coupled_cpl extractionPatterns(stadium, current lease at _
0.250000090279989)     0.250000090279989
coupled_cpl extractionPatterns(stadium, DD-D-D record at _
0.250000090279989)     0.250000090279989
coupled_cpl extractionPatterns(stadium, DD-yard line at _
0.250000090279989)     0.250000090279989
coupled_cpl extractionPatterns(stadium, divisional playoff game at _
0.250000090279989)     0.250000090279989
coupled_cpl extractionPatterns(stadium, dog vendor at _
0.250000090279989)     0.250000090279989
coupled_cpl extractionPatterns(stadium, field line of _
0.250000090279989)     0.250000090279989
coupled_cpl extractionPatterns(stadium, field seats at _
0.3333334295560505)    0.3333334295560505
coupled_cpl extractionPatterns(stadium, field stands at _
0.250000090279989)     0.250000090279989
coupled_cpl extractionPatterns(stadium, field wall at _
0.31578931892794915)   0.31578931892794915
coupled_cpl extractionPatterns(stadium, final home opener at _
0.7586209753731393)     0.7586209753731393
coupled_cpl extractionPatterns(stadium, final opener at _
0.3333334295560505)     0.3333334295560505
coupled_cpl extractionPatterns(stadium, foul pole at _ 0.250000090279989)
      0.250000090279989
coupled_cpl extractionPatterns(stadium, four-game set at _
0.22222231039474505)    0.22222231039474505
coupled_cpl extractionPatterns(stadium, game at historic _
0.31578931892794915)    0.31578931892794915
coupled_cpl extractionPatterns(stadium, games at beautiful _
0.3333334295560505)     0.3333334295560505
coupled_cpl extractionPatterns(stadium, grass surface at _
0.2105262353782364)     0.2105262353782364
coupled_cpl extractionPatterns(stadium, _ has been the proud home
0.28205138734986673)    0.28205138734986673
coupled_cpl extractionPatterns(stadium, head groundskeeper at _
0.3333334295560505)     0.3333334295560505
coupled_cpl extractionPatterns(stadium, hockey games at _
0.24590155649290768)    0.24590155649290768
coupled_cpl extractionPatterns(stadium, home debut at _
0.2777777348505767)     0.2777777348505767
coupled_cpl extractionPatterns(stadium, home games held at _
0.30555545339543744)    0.30555545339543744
coupled_cpl extractionPatterns(stadium, home games played at _
0.23529411363207658)    0.23529411363207658
coupled_cpl extractionPatterns(stadium, home game tickets are available
for _ 0.2105262353782364)     0.2105262353782364
coupled_cpl extractionPatterns(stadium, home plate at _
0.253968255022667)      0.253968255022667
coupled_cpl extractionPatterns(stadium, homer at _ 0.24137923332822347)
      0.24137923332822347
coupled_cpl extractionPatterns(stadium, _ is a baseball stadium
0.2727272683991621)     0.2727272683991621
coupled_cpl extractionPatterns(stadium, _ is a neutral site
0.2105262353782364)     0.2105262353782364
coupled_cpl extractionPatterns(stadiumLocatedInCity, arg1 and downtown
arg2 9.900986235993874E-4)    9.900986235993874E-4
coupled_cpl extractionPatterns(stadiumLocatedInCity, arg1 in downtown
arg2 2.977155671228935E-4)    2.977155671228935E-4
coupled_cpl extractionPatterns(stadiumLocatedInCity, arg1 is a baseball
stadium in arg2 0.010238911129853338)     0.010238911129853338
coupled_cpl extractionPatterns(stadiumLocatedInCity, arg1 is located in
downtown arg2 0.0017241381095525353)      0.0017241381095525353
coupled_cpl extractionPatterns(stadiumLocatedInCity, arg2 concert at arg1
8.503402452879083E-4) 8.503402452879083E-4
coupled_cpl extractionPatterns(stadium, morning skate at _
0.250000090279989)      0.250000090279989
coupled_cpl extractionPatterns(stadium, outdoor game at _
0.3333334295560505)     0.3333334295560505
coupled_cpl extractionPatterns(stadium, rain delay at _
0.29999994129778657)    0.29999994129778657
coupled_cpl extractionPatterns(stadium, regular season game at _
0.30555545339543744)    0.30555545339543744
coupled_cpl extractionPatterns(stadium, right field at _
0.23529411363207658)   0.23529411363207658
coupled_cpl extractionPatterns(stadium, seating chart of _
0.3015872253536089)    0.3015872253536089
coupled_cpl extractionPatterns(stadium, sellout crowd at _
0.2051282265538084)    0.2051282265538084
coupled_cpl extractionPatterns(stadium, series tonight at _
0.250000090279989)     0.250000090279989
coupled_cpl extractionPatterns(stadium, soccer matches at _
0.2857142767129624)    0.2857142767129624
coupled_cpl extractionPatterns(stadium, stadium was named _
0.29999994129778657)   0.29999994129778657
coupled_cpl extractionPatterns(stadium, three-game sweep at _
0.2857142767129624)    0.2857142767129624
coupled_cpl extractionPatterns(stadium, _ was the first stadium
0.42857136873737717)   0.42857136873737717
coupled_cpl extractionPatterns(stateHasCapital, arg1 access numbers in
arg2 0.07692310442012312)    0.07692310442012312
coupled_cpl extractionPatterns(stateHasCapital, arg1 and used car dealers
in arg2 0.005300352241352094)      0.005300352241352094
coupled_cpl extractionPatterns(stateHasCapital, arg1 approximately DD
miles east of arg2 0.11538464415616194) 0.11538464415616194
coupled_cpl extractionPatterns(stateHasCapital, arg1 approximately DD
miles north of arg2 0.1084337382426917) 0.1084337382426917
coupled_cpl extractionPatterns(stateHasCapital, arg1 area code DDD
connections in arg2 0.11111106414847875)       0.11111106414847875
coupled_cpl extractionPatterns(stateHasCapital, arg1 a suburb of arg2
0.1551724810153904)    0.1551724810153904
coupled_cpl extractionPatterns(stateHasCapital, arg1 chocolate fountain
rentals in arg2 0.11111106414847875)     0.11111106414847875
coupled_cpl extractionPatterns(stateHasCapital, arg1 chocolate fountain
rentals including arg2 0.11111106414847875)    0.11111106414847875
coupled_cpl extractionPatterns(stateHasCapital, arg1 connection numbers
in arg2 0.13725496834674325) 0.13725496834674325
coupled_cpl extractionPatterns(stateHasCapital, arg1 Convention Center in
downtown arg2 0.18840582482267443) 0.18840582482267443
coupled_cpl extractionPatterns(stateHasCapital, arg1 Democratic Party
convention in arg2 0.09803918826375141) 0.09803918826375141
coupled_cpl extractionPatterns(stateHasCapital, arg1 desert near arg2
0.0847457230060787)    0.0847457230060787
coupled_cpl extractionPatterns(stateHasCapital, arg1 dial up numbers in
arg2 0.09803918826375141)    0.09803918826375141
coupled_cpl extractionPatterns(stateHasCapital, arg1 Home inspection for
arg2 0.11764707805838637)    0.11764707805838637
coupled_cpl extractionPatterns(stateHasCapital, arg1 Hotels Planning your
trip to arg2 0.14035083875856164) 0.14035083875856164
coupled_cpl extractionPatterns(stateHasCapital, arg1 include the cities
of arg2 0.11111106414847875) 0.11111106414847875
coupled_cpl extractionPatterns(stateHasCapital, arg1 including cities
such as arg2 0.02083333356058106) 0.02083333356058106
coupled_cpl extractionPatterns(stateHasCapital, arg1 map include arg2
0.20833331623205179)   0.20833331623205179
coupled_cpl extractionPatterns(stateHasCapital, arg1 Nissan dealer in
arg2 0.09803918826375141)    0.09803918826375141
coupled_cpl extractionPatterns(stateHasCapital, arg1 Oakwood found DD
properties in arg2 0.12962961634375492) 0.12962961634375492
coupled_cpl extractionPatterns(stateHasCapital, arg1 outside metro arg2
0.11999994434402382)   0.11999994434402382
coupled_cpl extractionPatterns(stateHasCapital, arg1 Real Estate areas
include arg2 0.11111106414847875) 0.11111106414847875
coupled_cpl extractionPatterns(stateHasCapital, arg1 singles go here for
arg2 0.28070162683364835)    0.28070162683364835
coupled_cpl extractionPatterns(stateHasCapital, arg1 state capital of
arg2 0.02083333356058106)    0.02083333356058106
coupled_cpl extractionPatterns(stateHasCapital, arg1 State Capitol
building in arg2 0.06249998263998874)    0.06249998263998874
coupled_cpl extractionPatterns(stateHasCapital, arg1 state capitol in
arg2 0.04166665959783167)    0.04166665959783167
coupled_cpl extractionPatterns(stateHasCapital, arg1 State University
campus in arg2 0.10256413179587653)      0.10256413179587653
coupled_cpl extractionPatterns(stateHasCapital, arg1 survey excludes
students from arg2 0.13725496834674325) 0.13725496834674325
coupled_cpl extractionPatterns(stateHasCapital, arg1 The table below
shows arg2 0.005300352241352094) 0.005300352241352094
coupled_cpl extractionPatterns(stateHasCapital, arg1 USA covering arg2
0.08298752364620098)   0.08298752364620098
coupled_cpl extractionPatterns(stateHasCapital, arg1 which is a suburb of
arg2 0.13461532666698936)    0.13461532666698936
coupled_cpl extractionPatterns(stateHasCapital, arg1 which is just south
of arg2 0.09803918826375141) 0.09803918826375141
coupled_cpl extractionPatterns(stateHasCapital, arg2 and across the state
of arg1 0.16666674487136082) 0.16666674487136082
coupled_cpl extractionPatterns(stateHasCapital, arg2 and other cities in
arg1 0.0048859917238392395) 0.0048859917238392395
coupled_cpl extractionPatterns(stateHasCapital, arg2 and south central
arg1 0.12359551759855635)    0.12359551759855635
coupled_cpl extractionPatterns(stateHasCapital, arg2 and the entire state
of arg1 0.16666674487136082) 0.16666674487136082
coupled_cpl extractionPatterns(stateHasCapital, arg2 and the great state
of arg1 0.31249994056428093) 0.31249994056428093
coupled_cpl extractionPatterns(stateHasCapital, arg2 and throughout the
state of arg1 0.1318681129752343) 0.1318681129752343
coupled_cpl extractionPatterns(stateHasCapital, arg2 area and southern
arg1 0.11999994434402382)    0.11999994434402382
coupled_cpl extractionPatterns(stateHasCapital, arg2 area and the state
of arg1 0.11999994434402382) 0.11999994434402382
coupled_cpl extractionPatterns(stateHasCapital, arg2 becomes the capital
of arg1 0.1052631366954227) 0.1052631366954227
coupled_cpl extractionPatterns(stateHasCapital, arg2 is the biggest city
in arg1 0.0312499969624916) 0.0312499969624916
coupled_cpl extractionPatterns(stateHasCapital, arg2 is the capital city
of arg1 0.07993727614678178) 0.07993727614678178
coupled_cpl extractionPatterns(stateHasCapital, arg2 is the capital of
arg1 0.011359180583782904)   0.011359180583782904
coupled_cpl extractionPatterns(stateHasCapital, arg2 is the capitol of
arg1 0.09722221930173884)    0.09722221930173884
coupled_cpl extractionPatterns(stateHasCapital, arg2 is the largest city
in arg1 0.13897280673367535) 0.13897280673367535
coupled_cpl extractionPatterns(stateHasCapital, arg2 is the largest city
of arg1 0.09259260501205399) 0.09259260501205399
coupled_cpl extractionPatterns(stateHasCapital, arg2 is the state capital
of arg1 0.09722221930173884) 0.09722221930173884
coupled_cpl extractionPatterns(stateHasCapital, arg2 the capital of arg1
0.006218907691199808) 0.006218907691199808
coupled_cpl extractionPatterns(stateHasCapital, arg2 wedding limousine
service companies in arg1 0.14035083875856164)       0.14035083875856164
coupled_cpl extractionPatterns(stateLocatedInCountry, arg1 and the
country of arg2 0.006607928916563273)    0.006607928916563273
coupled_cpl extractionPatterns(stateLocatedInCountry, arg1 and the eighth
largest in arg2 0.00526315827452889)     0.00526315827452889
coupled_cpl extractionPatterns(stateLocatedInCountry, arg1 and the entire
arg2 0.008249942898940875)   0.008249942898940875
coupled_cpl extractionPatterns(stateLocatedInCountry, arg1 and the
federal laws of arg2 0.21495318903042127)      0.21495318903042127
coupled_cpl extractionPatterns(stateLocatedInCountry, arg1 and the laws
of arg2 0.020257827842525274)      0.020257827842525274
coupled_cpl extractionPatterns(stateLocatedInCountry, arg1 and the second
in arg2 0.00526315827452889) 0.00526315827452889
coupled_cpl extractionPatterns(stateLocatedInCountry, arg1 and the second
largest in arg2 0.008695653290115287)    0.008695653290115287
coupled_cpl extractionPatterns(stateLocatedInCountry, arg1 and the
seventh largest in arg2 0.04195804871462371) 0.04195804871462371
coupled_cpl extractionPatterns(stateLocatedInCountry, arg1 and the
southeastern arg2 0.06666668007348202) 0.06666668007348202
coupled_cpl extractionPatterns(stateLocatedInCountry, arg1 and the
southwestern arg2 0.10909087810957703) 0.10909087810957703
coupled_cpl extractionPatterns(stateLocatedInCountry, arg1 and the west
coast of arg2 0.00526315827452889) 0.00526315827452889
coupled_cpl extractionPatterns(stateLocatedInCountry, arg1 and the
western arg2 0.01515869476151367) 0.01515869476151367
coupled_cpl extractionPatterns(stateLocatedInCountry, arg1 became a state
of arg2 0.0727272599354615) 0.0727272599354615
coupled_cpl extractionPatterns(stateLocatedInCountry, arg1 became the
first jurisdiction in arg2 0.011904759510039685)     0.011904759510039685
coupled_cpl extractionPatterns(stateLocatedInCountry, arg1 became the
first state in arg2 0.07462684380275439)       0.07462684380275439
coupled_cpl extractionPatterns(stateLocatedInCountry, arg1 from elsewhere
in arg2 0.005494503775147497)      0.005494503775147497
coupled_cpl extractionPatterns(stateLocatedInCountry, arg1 from other
parts of arg2 0.00346981153214945) 0.00346981153214945
coupled_cpl extractionPatterns(stateLocatedInCountry, arg1 in the country
of arg2 0.004830916875678215)      0.004830916875678215
coupled_cpl extractionPatterns(stateLocatedInCountry, arg1 in the
southwest of arg2 0.00440528642062292) 0.00440528642062292
coupled_cpl extractionPatterns(stateLocatedInCountry, arg1 is the first
state in arg2 0.13207544059392176) 0.13207544059392176
coupled_cpl extractionPatterns(stateLocatedInCountry, arg1 is the largest
state in arg2 0.04895107250652425) 0.04895107250652425
coupled_cpl extractionPatterns(stateLocatedInCountry, arg1 is the only
state in arg2 0.02028986050965964) 0.02028986050965964
coupled_cpl extractionPatterns(stateLocatedInCountry, arg1 law and
controlling arg2 0.2867131615789055)     0.2867131615789055
coupled_cpl extractionPatterns(stateLocatedInCountry, arg1 on the west
coast of arg2 0.004526935764717418)      0.004526935764717418
coupled_cpl extractionPatterns(stateLocatedInCountry, arg1 or anywhere
else in arg2 0.03968253946497531) 0.03968253946497531
coupled_cpl extractionPatterns(stateLocatedInCountry, arg1 or the entire
arg2 0.004770424425251745)   0.004770424425251745
coupled_cpl extractionPatterns(stateLocatedInCountry, arg1 or the rest of
arg2 0.02583024982572358)    0.02583024982572358
coupled_cpl extractionPatterns(stateLocatedInCountry, arg1 ranks first in
arg2 0.00440528642062292)    0.00440528642062292
coupled_cpl extractionPatterns(stateLocatedInCountry, arg1 than anywhere
else in arg2 0.006321112865572408) 0.006321112865572408
coupled_cpl extractionPatterns(stateLocatedInCountry, arg1 was the first
state in arg2 0.007894736558307807)      0.007894736558307807
coupled_cpl extractionPatterns(stateLocatedInCountry, arg2 and the
largest in arg1 0.015873011530024923)    0.015873011530024923
coupled_cpl extractionPatterns(stateLocatedInCountry, arg2 Army base in
arg1 0.08823531493659527)    0.08823531493659527
coupled_cpl extractionPatterns(stateLocatedInCountry, arg2 attorney for
the district of arg1 0.09090911570894615)      0.09090911570894615
coupled_cpl extractionPatterns(stateLocatedInCountry, arg2 citizen and a
resident of arg1 0.09090911570894615)    0.09090911570894615
coupled_cpl extractionPatterns(stateLocatedInCountry, arg2 district court
in arg1 0.11111106414847875) 0.11111106414847875
coupled_cpl extractionPatterns(stateLocatedInCountry, arg2 District Court
judge in arg1 0.059701507956484094)      0.059701507956484094
coupled_cpl extractionPatterns(stateLocatedInCountry, arg2 government
documents in arg1 0.059701507956484094) 0.059701507956484094
coupled_cpl extractionPatterns(stateLocatedInCountry, arg2 is grown in
arg1 0.0037735842490046706) 0.0037735842490046706
coupled_cpl extractionPatterns(stateLocatedInCountry, arg2 postal
abbreviation for arg1 0.09090911570894615)     0.09090911570894615
coupled_cpl extractionPatterns(stateLocatedInCountry, arg2 presidential
election in arg1 0.30588226682577324)    0.30588226682577324
coupled_cpl extractionPatterns(stateLocatedInCountry, arg2 Senate
candidate in arg1 0.09090911570894615) 0.09090911570894615
coupled_cpl extractionPatterns(stateLocatedInCountry, arg2 Senate race in
arg1 0.08955225225339601)    0.08955225225339601
coupled_cpl extractionPatterns(stateLocatedInCountry, arg2 Senate seat
from arg1 0.04195804871462371)     0.04195804871462371
coupled_cpl extractionPatterns(stateLocatedInCountry, arg2 Senate seat in
arg1 0.04895107250652425)    0.04895107250652425
coupled_cpl extractionPatterns(stateLocatedInCountry, arg2 senator and
governor of arg1 0.11320759747066024)    0.11320759747066024
coupled_cpl extractionPatterns(stateLocatedInCountry, arg2 Senator for
the state of arg1 0.09230767390777865) 0.09230767390777865
coupled_cpl extractionPatterns(stateLocatedInCountry, arg2 senator from
arg1 0.16564422723722214)    0.16564422723722214
coupled_cpl extractionPatterns(stateLocatedInCountry, arg2 Senator from
the state of arg1 0.11320759747066024) 0.11320759747066024
coupled_cpl extractionPatterns(stateLocatedInCountry, arg2 senators from
arg1 0.008695653290115287)   0.008695653290115287
coupled_cpl extractionPatterns(stateLocatedInCountry, arg2 Supreme Court
declared arg1 0.10256413179587653) 0.10256413179587653
coupled_cpl extractionPatterns(stateOrProvince, abbreaviation is _
0.7500000543388377)     0.7500000543388377
coupled_cpl extractionPatterns(stateOrProvince, beautiful state of _
0.8047062298747565)     0.8047062298747565
coupled_cpl extractionPatterns(stateOrProvince, _ became the first state
0.7572014081259945)     0.7572014081259945
coupled_cpl extractionPatterns(stateOrProvince, cattle drives from _
0.6451612457620371)     0.6451612457620371
coupled_cpl extractionPatterns(stateOrProvince, coastal state of _
0.5964910749022164)     0.5964910749022164
coupled_cpl extractionPatterns(stateOrProvince, cross-border terrorism in
_ 0.5714284502488258) 0.5714284502488258
coupled_cpl extractionPatterns(stateOrProvince, Disclaimers are
predicated on applicable _ 0.5600002773417163)      0.5600002773417163
coupled_cpl extractionPatterns(stateOrProvince, eastern state of _
0.7074827722060605)     0.7074827722060605
coupled_cpl extractionPatterns(stateOrProvince, entire state of _
0.4611605647448987)     0.4611605647448987
coupled_cpl extractionPatterns(stateOrProvince, family camping in _
0.6891895065469926)     0.6891895065469926
coupled_cpl extractionPatterns(stateOrProvince, farm in rural _
0.540123209342781)      0.540123209342781
coupled_cpl extractionPatterns(stateOrProvince, former governor of _
0.39039860410512073)    0.39039860410512073
coupled_cpl extractionPatterns(stateOrProvince, good churches in _
0.8164553930242526)     0.8164553930242526
coupled_cpl extractionPatterns(stateOrProvince, great state of _
0.8564768415962738)     0.8564768415962738
coupled_cpl extractionPatterns(stateOrProvince, hill state of _
0.6153845020195187)     0.6153845020195187
coupled_cpl extractionPatterns(stateOrProvince, history of southwestern _
0.5625000815082595)     0.5625000815082595
coupled_cpl extractionPatterns(stateOrProvince, home state of _
0.8424440739729062)     0.8424440739729062
coupled_cpl extractionPatterns(stateOrProvince, Indian rule in _
0.6216214330931832)     0.6216214330931832
coupled_cpl extractionPatterns(stateOrProvince, Indian state of _
0.88679272936942) 0.88679272936942
coupled_cpl extractionPatterns(stateOrProvince, investment advising
available in _ 0.7411761223085922) 0.7411761223085922
coupled_cpl extractionPatterns(stateOrProvince, _ is a no fault state
0.7391303400800004)     0.7391303400800004
coupled_cpl extractionPatterns(stateOrProvince, _ is the first state
0.707317240605317)      0.707317240605317
coupled_cpl extractionPatterns(stateOrProvince, _ is the only state
0.34069385189066775)    0.34069385189066775
coupled_cpl extractionPatterns(stateOrProvince, Local markets in _
0.8181815690145253)     0.8181815690145253
coupled_cpl extractionPatterns(stateOrProvince, native state of _
0.710344652977033)      0.710344652977033
coupled_cpl extractionPatterns(stateOrProvince, nearby state of _
0.6923075400867749)     0.6923075400867749
coupled_cpl extractionPatterns(stateOrProvince, neighboring state of _
0.6534651993839674)     0.6534651993839674
coupled_cpl extractionPatterns(stateOrProvince, neighbouring state of _
0.6624998152431916)    0.6624998152431916
coupled_cpl extractionPatterns(stateOrProvince, panhandle of _
0.7737070232369361)    0.7737070232369361
coupled_cpl extractionPatterns(stateOrProvince, re-vote in _
0.5384616506802858)    0.5384616506802858
coupled_cpl extractionPatterns(stateOrProvince, rich state of _
0.5789471984236444)    0.5789471984236444
coupled_cpl extractionPatterns(stateOrProvince, senator from _
0.5244102401073348)    0.5244102401073348
coupled_cpl extractionPatterns(stateOrProvince, _ singles data
0.6913583454382005)    0.6913583454382005
coupled_cpl extractionPatterns(stateOrProvince, _ singles statistics
0.6600002930147645)    0.6600002930147645
coupled_cpl extractionPatterns(stateOrProvince, _ singles stats
0.6172840427433974)    0.6172840427433974
coupled_cpl extractionPatterns(stateOrProvince, southern Mexican state of
_ 0.5600002773417163) 0.5600002773417163
coupled_cpl extractionPatterns(stateOrProvince, southern state of _
0.604650907429684)     0.604650907429684
coupled_cpl extractionPatterns(stateOrProvince, state bird of _
0.6641793902199918)    0.6641793902199918
coupled_cpl extractionPatterns(stateOrProvince, state except _
0.6065810038466423)    0.6065810038466423
coupled_cpl extractionPatterns(stateOrProvince, state flower of _
0.6911316170863792)    0.6911316170863792
coupled_cpl extractionPatterns(stateOrProvince, state government of _
0.6158536037151051)    0.6158536037151051
coupled_cpl extractionPatterns(stateOrProvince, state other than _
0.5307856561327956)    0.5307856561327956
coupled_cpl extractionPatterns(stateOrProvince, states , including _
0.3630016134359606)    0.3630016134359606
coupled_cpl extractionPatterns(stateOrProvince, states other than _
0.6316966400455812)    0.6316966400455812
coupled_cpl extractionPatterns(stateOrProvince, surveyor registered in _
0.5384616506802858)    0.5384616506802858
coupled_cpl extractionPatterns(stateOrProvince, _ was the first state
0.6988417201100461)    0.6988417201100461
coupled_cpl extractionPatterns(stateOrProvince, _ was the home state
0.5384616506802858)    0.5384616506802858
coupled_cpl extractionPatterns(stateOrProvince, _ was the only state
0.7016132168120816)    0.7016132168120816
coupled_cpl extractionPatterns(stateOrProvince, western state of _
0.7333332807561508)    0.7333332807561508
coupled_cpl extractionPatterns(stateOrProvince, whole state of _
0.6338030623549039)    0.6338030623549039
coupled_cpl extractionPatterns(teamHomeStadium, arg1 at home at arg2
0.00974026455492455)   0.00974026455492455
coupled_cpl extractionPatterns(teamHomeStadium, arg1 baseball at arg2
0.02040816934919737)   0.02040816934919737
coupled_cpl extractionPatterns(teamHomeStadium, arg1 baseball game at
arg2 0.03278687487257101)    0.03278687487257101
coupled_cpl extractionPatterns(teamHomeStadium, arg1 baseball games at
arg2 0.14285716415076063)    0.14285716415076063
coupled_cpl extractionPatterns(teamHomeStadium, arg1 basketball games at
arg2 0.08064519940412121)    0.08064519940412121
coupled_cpl extractionPatterns(teamHomeStadium, arg1 fans at arg2
0.0038759673834174568) 0.0038759673834174568
coupled_cpl extractionPatterns(teamHomeStadium, arg1 football games at
arg2 0.0025940342230957275) 0.0025940342230957275
coupled_cpl extractionPatterns(teamHomeStadium, arg1 game at arg2
0.0016420365643841257) 0.0016420365643841257
coupled_cpl extractionPatterns(teamHomeStadium, arg1 games at arg2
0.003973511763898097) 0.003973511763898097
coupled_cpl extractionPatterns(teamHomeStadium, arg1 hockey games at arg2
0.03571426822054728)   0.03571426822054728
coupled_cpl extractionPatterns(teamHomeStadium, arg1 home game at arg2
0.012987018465633417) 0.012987018465633417
coupled_cpl extractionPatterns(teamHomeStadium, arg1 home games at arg2
0.025316447390053922) 0.025316447390053922
coupled_cpl extractionPatterns(teamHomeStadium, arg1 lease at arg2
0.006493503911777328) 0.006493503911777328
coupled_cpl extractionPatterns(teamHomeStadium, arg1 locker room at arg2
0.006493503911777328) 0.006493503911777328
coupled_cpl extractionPatterns(teamHomeStadium, arg1 play at arg2
0.0025735294381040844) 0.0025735294381040844
coupled_cpl extractionPatterns(teamHomeStadium, arg1 play baseball in
arg2 0.025316447390053922)   0.025316447390053922
coupled_cpl extractionPatterns(teamHomeStadium, arg1 play home games at
arg2 0.025316447390053922)   0.025316447390053922
coupled_cpl extractionPatterns(teamHomeStadium, arg1 play their home
games at arg2 0.008163265550896179)      0.008163265550896179
coupled_cpl extractionPatterns(teamHomeStadium, arg1 return home to arg2
0.0025940342230957275) 0.0025940342230957275
coupled_cpl extractionPatterns(teamHomeStadium, arg1 schedule at arg2
0.003614459320925129) 0.003614459320925129
coupled_cpl extractionPatterns(teamHomeStadium, arg1 tickets at arg2
4.7585041848452567E-4) 4.7585041848452567E-4
coupled_cpl extractionPatterns(teamHomeStadium, arg1 tickets at the
outlet inside arg2 0.025316447390053922)       0.025316447390053922
coupled_cpl extractionPatterns(teamHomeStadium, arg1 tickets for all
games at arg2 0.03571426822054728) 0.03571426822054728
coupled_cpl extractionPatterns(teamHomeStadium, arg1 tonight at arg2
0.0032840725357962427) 0.0032840725357962427
coupled_cpl extractionPatterns(teamHomeStadium, arg1 victory at arg2
0.0014214639325578558) 0.0014214639325578558
coupled_cpl extractionPatterns(teamHomeStadium, arg1 were playing at arg2
0.006493503911777328) 0.006493503911777328
coupled_cpl extractionPatterns(teamHomeStadium, arg1 will play in arg2
0.003319503683999942) 0.003319503683999942
coupled_cpl extractionPatterns(teamHomeStadium, arg2 has been the home of
arg1 0.010600702568641745)   0.010600702568641745
coupled_cpl extractionPatterns(teamHomeStadium, arg2 home of arg1
4.4903442624940416E-4) 4.4903442624940416E-4
coupled_cpl extractionPatterns(teamHomeStadium, arg2 to cheer on your
arg1 0.019047622278049382)   0.019047622278049382
coupled_cpl extractionPatterns(teamHomeStadium, arg2 to watch arg1
1.4678259668554378E-4) 1.4678259668554378E-4
coupled_cpl extractionPatterns(teammates, arg1 scored points and arg2
0.006249998845211527) 0.006249998845211527
coupled_cpl extractionPatterns(teammates, arg1 scored twice and arg2
0.017094012892954546) 0.017094012892954546
coupled_cpl extractionPatterns(teammates, arg2 scored points and arg1
0.006249998845211527) 0.006249998845211527
coupled_cpl extractionPatterns(teammates, arg2 scored twice and arg1
0.017094012892954546) 0.017094012892954546
coupled_cpl extractionPatterns(teamPlaysAgainstTeam, arg1 actually beat
arg2 0.028571430328269018)   0.028571430328269018
coupled_cpl extractionPatterns(teamPlaysAgainstTeam, arg1 are a better
team than arg2 0.018633541794714714)     0.018633541794714714
coupled_cpl extractionPatterns(teamPlaysAgainstTeam, arg1 are going to
beat arg2 0.018633541794714714)    0.018633541794714714
coupled_cpl extractionPatterns(teamPlaysAgainstTeam, arg1 are going to
catch arg2 0.018633541794714714) 0.018633541794714714
coupled_cpl extractionPatterns(teamPlaysAgainstTeam, arg1 are now tied
with arg2 0.018518519380819918)    0.018518519380819918
coupled_cpl extractionPatterns(teamPlaysAgainstTeam, arg1 are playing the
arg2 0.024590157936028936)   0.024590157936028936
coupled_cpl extractionPatterns(teamPlaysAgainstTeam, arg1 by knocking off
arg2 0.027777776068225332)   0.027777776068225332
coupled_cpl extractionPatterns(teamPlaysAgainstTeam, arg1 defeat arg2
0.0013123353749169885) 0.0013123353749169885
coupled_cpl extractionPatterns(teamPlaysAgainstTeam, arg1 fans hate arg2
0.028571430328269018) 0.028571430328269018
coupled_cpl extractionPatterns(teamPlaysAgainstTeam, arg1 game against
arg2 8.892839229874578E-4)   8.892839229874578E-4
coupled_cpl extractionPatterns(teamPlaysAgainstTeam, arg1 have already
beaten arg2 0.021857918944733372) 0.021857918944733372
coupled_cpl extractionPatterns(teamPlaysAgainstTeam, arg1 have beaten
arg2 0.02083333356058106)    0.02083333356058106
coupled_cpl extractionPatterns(teamPlaysAgainstTeam, arg1 have outscored
arg2 0.021857918944733372)   0.021857918944733372
coupled_cpl extractionPatterns(teamPlaysAgainstTeam, arg1 hold off arg2
0.03252032501634234)   0.03252032501634234
coupled_cpl extractionPatterns(teamPlaysAgainstTeam, arg1 lose to arg2
0.02575107255805096)   0.02575107255805096
coupled_cpl extractionPatterns(teamPlaysAgainstTeam, arg1 losing to arg2
0.021314386749947217) 0.021314386749947217
coupled_cpl extractionPatterns(teamPlaysAgainstTeam, arg1 losing to the
arg2 0.029069754778472318)   0.029069754778472318
coupled_cpl extractionPatterns(teamPlaysAgainstTeam, arg1 lost to arg2
0.001200961251422131) 0.001200961251422131
coupled_cpl extractionPatterns(teamPlaysAgainstTeam, arg1 lost to the
arg2 0.019971460490544955)   0.019971460490544955
coupled_cpl extractionPatterns(teamPlaysAgainstTeam, arg1 outgained arg2
0.024691357385493672) 0.024691357385493672
coupled_cpl extractionPatterns(teamPlaysAgainstTeam, arg1 outplayed arg2
0.028938916442403973) 0.028938916442403973
coupled_cpl extractionPatterns(teamPlaysAgainstTeam, arg1 outscored the
arg2 0.03703703207423474)    0.03703703207423474
coupled_cpl extractionPatterns(teamPlaysAgainstTeam, arg1 rout arg2
0.02575107255805096)   0.02575107255805096
coupled_cpl extractionPatterns(teamPlaysAgainstTeam, arg1 were playing
the arg2 0.02890172491513668)      0.02890172491513668
coupled_cpl extractionPatterns(teamPlaysAgainstTeam, arg1 would beat arg2
0.021568637219845373) 0.021568637219845373
coupled_cpl extractionPatterns(teamPlaysAgainstTeam, arg1 would sweep
arg2 0.024844720592908626)   0.024844720592908626
coupled_cpl extractionPatterns(teamPlaysAgainstTeam, arg2 actually beat
arg1 0.029069754778472318)   0.029069754778472318
coupled_cpl extractionPatterns(teamPlaysAgainstTeam, arg2 are playing the
arg1 0.024590157936028936)   0.024590157936028936
coupled_cpl extractionPatterns(teamPlaysAgainstTeam, arg2 by knocking off
arg1 0.027777776068225332)   0.027777776068225332
coupled_cpl extractionPatterns(teamPlaysAgainstTeam, arg2 defeat arg1
0.0013123353749169885) 0.0013123353749169885
coupled_cpl extractionPatterns(teamPlaysAgainstTeam, arg2 fans hate arg1
0.029069754778472318) 0.029069754778472318
coupled_cpl extractionPatterns(teamPlaysAgainstTeam, arg2 have already
beaten arg1 0.021857918944733372) 0.021857918944733372
coupled_cpl extractionPatterns(teamPlaysAgainstTeam, arg2 have beaten
arg1 0.02083333356058106)    0.02083333356058106
coupled_cpl extractionPatterns(teamPlaysAgainstTeam, arg2 have outscored
arg1 0.021857918944733372)   0.021857918944733372
coupled_cpl extractionPatterns(teamPlaysAgainstTeam, arg2 hold off arg1
0.03252032501634234)   0.03252032501634234
coupled_cpl extractionPatterns(teamPlaysAgainstTeam, arg2 lose to arg1
0.02575107255805096)   0.02575107255805096
coupled_cpl extractionPatterns(teamPlaysAgainstTeam, arg2 losing to arg1
0.021314386749947217) 0.021314386749947217
coupled_cpl extractionPatterns(teamPlaysAgainstTeam, arg2 losing to the
arg1 0.02890172491513668)    0.02890172491513668
coupled_cpl extractionPatterns(teamPlaysAgainstTeam, arg2 lost to arg1
0.001200961251422131) 0.001200961251422131
coupled_cpl extractionPatterns(teamPlaysAgainstTeam, arg2 lost to the
arg1 0.019971460490544955)   0.019971460490544955
coupled_cpl extractionPatterns(teamPlaysAgainstTeam, arg2 outgained arg1
0.024691357385493672) 0.024691357385493672
coupled_cpl extractionPatterns(teamPlaysAgainstTeam, arg2 outplayed arg1
0.028938916442403973) 0.028938916442403973
coupled_cpl extractionPatterns(teamPlaysAgainstTeam, arg2 outscored the
arg1 0.03703703207423474)    0.03703703207423474
coupled_cpl extractionPatterns(teamPlaysAgainstTeam, arg2 rout arg1
0.02575107255805096)   0.02575107255805096
coupled_cpl extractionPatterns(teamPlaysAgainstTeam, arg2 swept arg1
4.922469679684086E-4) 4.922469679684086E-4
coupled_cpl extractionPatterns(teamPlaysAgainstTeam, arg2 were playing
the arg1 0.02890172491513668)      0.02890172491513668
coupled_cpl extractionPatterns(teamPlaysAgainstTeam, arg2 would beat arg1
0.02941175072400807)   0.02941175072400807
coupled_cpl extractionPatterns(teamPlaysAgainstTeam, arg2 would sweep
arg1 0.024844720592908626)   0.024844720592908626
coupled_cpl extractionPatterns(teamPlaysInCity, arg1 are currently based
in arg2 0.052631577850865294)      0.052631577850865294
coupled_cpl extractionPatterns(teamPlaysInCity, arg2 to face arg1
2.0986355007100079E-4) 2.0986355007100079E-4
coupled_cpl extractionPatterns(teamPlaysInLeague, arg1 dominance in arg2
0.004909982015565662) 0.004909982015565662
coupled_cpl extractionPatterns(teamPlaysInLeague, arg1 have dominated
arg2 0.0024844722903319813) 0.0024844722903319813
coupled_cpl extractionPatterns(teamPlaysInLeague, arg1 have the best
record in arg2 0.08771932942109764)      0.08771932942109764
coupled_cpl extractionPatterns(teamPlaysInLeague, arg1 lead arg2
1.59020409873137E-4)   1.59020409873137E-4
coupled_cpl extractionPatterns(teamPlaysInLeague, arg1 the best team in
arg2 0.03508772236051259)    0.03508772236051259
coupled_cpl extractionPatterns(teamPlaysInLeague, arg2 record for arg1
2.3177650294319162E-4) 2.3177650294319162E-4
coupled_cpl extractionPatterns(teamPlaysInLeague, arg2 season arg1
1.3346383709539594E-4) 1.3346383709539594E-4
coupled_cpl extractionPatterns(teamPlaysInLeague, arg2 seasons with arg1
0.01554403990005359)   0.01554403990005359
coupled_cpl extractionPatterns(teamPlaysSport, arg1 are playing their
best arg2 0.07142859497252234)     0.07142859497252234
coupled_cpl extractionPatterns(teamWonTrophy, arg1 again reached arg2
0.013513514773029384) 0.013513514773029384
coupled_cpl extractionPatterns(teamWonTrophy, arg1 are going to win arg2
0.019230763818874366) 0.019230763818874366
coupled_cpl extractionPatterns(teamWonTrophy, arg1 are trying to win arg2
0.009868425125705897) 0.009868425125705897
coupled_cpl extractionPatterns(teamWonTrophy, arg1 captured their first
arg2 0.019512187668655423)   0.019512187668655423
coupled_cpl extractionPatterns(teamWonTrophy, arg1 did not win arg2
0.010040162295086)     0.010040162295086
coupled_cpl extractionPatterns(teamWonTrophy, arg1 did win arg2
0.010362694386994196) 0.010362694386994196
coupled_cpl extractionPatterns(teamWonTrophy, arg1 fail to win arg2
0.014814808857460223) 0.014814808857460223
coupled_cpl extractionPatterns(teamWonTrophy, arg1 finally won arg2
0.04128442371136187)   0.04128442371136187
coupled_cpl extractionPatterns(teamWonTrophy, arg1 go on to win arg2
0.014814808857460223) 0.014814808857460223
coupled_cpl extractionPatterns(teamWonTrophy, arg1 had just won arg2
0.009868425125705897) 0.009868425125705897
coupled_cpl extractionPatterns(teamWonTrophy, arg1 had won arg2
0.008153279826371991) 0.008153279826371991
coupled_cpl extractionPatterns(teamWonTrophy, arg1 have finally won arg2
0.013513514773029384) 0.013513514773029384
coupled_cpl extractionPatterns(teamWonTrophy, arg1 have never won arg2
0.029268278338843115) 0.029268278338843115
coupled_cpl extractionPatterns(teamWonTrophy, arg1 have not won arg2
0.03999999299472865)   0.03999999299472865
coupled_cpl extractionPatterns(teamWonTrophy, arg1 just won arg2
0.01764706144203817)   0.01764706144203817
coupled_cpl extractionPatterns(teamWonTrophy, arg1 last won arg2
0.03703703207423474)   0.03703703207423474
coupled_cpl extractionPatterns(teamWonTrophy, arg1 lose in arg2
0.011661808583627437) 0.011661808583627437
coupled_cpl extractionPatterns(teamWonTrophy, arg1 lost the DDDD arg2
0.029629641994625953) 0.029629641994625953
coupled_cpl extractionPatterns(teamWonTrophy, arg1 might win arg2
0.014598536427273165) 0.014598536427273165
coupled_cpl extractionPatterns(teamWonTrophy, arg1 not winning arg2
0.014598536427273165) 0.014598536427273165
coupled_cpl extractionPatterns(teamWonTrophy, arg1 reach their first arg2
0.009868425125705897) 0.009868425125705897
coupled_cpl extractionPatterns(teamWonTrophy, arg1 should win arg2
0.010416668661123486) 0.010416668661123486
coupled_cpl extractionPatterns(teamWonTrophy, arg1 team that won arg2
0.019943021426991128) 0.019943021426991128
coupled_cpl extractionPatterns(teamWonTrophy, arg1 to four arg2
0.011396009827304671) 0.011396009827304671
coupled_cpl extractionPatterns(teamWonTrophy, arg1 to their second
consecutive arg2 0.013513514773029384) 0.013513514773029384
coupled_cpl extractionPatterns(teamWonTrophy, arg1 to win the DDDD arg2
0.016260165444105492) 0.016260165444105492
coupled_cpl extractionPatterns(teamWonTrophy, arg1 want to win arg2
0.013513514773029384) 0.013513514773029384
coupled_cpl extractionPatterns(teamWonTrophy, arg1 went on to win arg2
0.01973001892004548)   0.01973001892004548
coupled_cpl extractionPatterns(teamWonTrophy, arg1 were going to win arg2
0.05333332012887736)   0.05333332012887736
coupled_cpl extractionPatterns(teamWonTrophy, arg1 were playing in arg2
0.015432092644418322) 0.015432092644418322
coupled_cpl extractionPatterns(teamWonTrophy, arg1 will not win arg2
0.015384619536856511) 0.015384619536856511
coupled_cpl extractionPatterns(teamWonTrophy, arg1 will win arg2
0.010621468456362193) 0.010621468456362193
coupled_cpl extractionPatterns(teamWonTrophy, arg1 will win the DDDD arg2
0.02439024552937341)   0.02439024552937341
coupled_cpl extractionPatterns(teamWonTrophy, arg1 win arg2
0.008282917645572069) 0.008282917645572069
coupled_cpl extractionPatterns(teamWonTrophy, arg1 winning their second
arg2 0.015384619536856511)   0.015384619536856511
coupled_cpl extractionPatterns(teamWonTrophy, arg1 win the DDDD arg2
0.05333332012887736)   0.05333332012887736
coupled_cpl extractionPatterns(teamWonTrophy, arg1 win their first arg2
0.014598536427273165) 0.014598536427273165
coupled_cpl extractionPatterns(teamWonTrophy, arg1 won the DDDD arg2
0.010123731072665572) 0.010123731072665572
coupled_cpl extractionPatterns(teamWonTrophy, arg1 won their first arg2
0.033509711052320854) 0.033509711052320854
coupled_cpl extractionPatterns(teamWonTrophy, arg1 won their second arg2
0.023076926810480444) 0.023076926810480444
coupled_cpl extractionPatterns(teamWonTrophy, arg1 won their third arg2
0.03999999299472865)   0.03999999299472865
coupled_cpl extractionPatterns(teamWonTrophy, arg1 would never win arg2
0.02189780227357842)   0.02189780227357842
coupled_cpl extractionPatterns(teamWonTrophy, arg1 would not win arg2
0.029268278338843115) 0.029268278338843115
coupled_cpl extractionPatterns(teamWonTrophy, arg1 would win arg2
0.014736837020748864) 0.014736837020748864
coupled_cpl extractionPatterns(teamWonTrophy, arg2 champion arg1
0.0149306967610033)    0.0149306967610033
coupled_cpl extractionPatterns(teamWonTrophy, arg2 championships with
arg1 0.014598536427273165)    0.014598536427273165
coupled_cpl extractionPatterns(teamWonTrophy, arg2 rings with arg1
0.012061400098723692) 0.012061400098723692
coupled_cpl extractionPatterns(teamWonTrophy, arg2 ring when arg1
0.011396009827304671) 0.011396009827304671
coupled_cpl extractionPatterns(teamWonTrophy, arg2 title against arg1
0.012820510598584696) 0.012820510598584696
coupled_cpl extractionPatterns(teamWonTrophy, arg2 win by arg1
0.010126586367405703) 0.010126586367405703
coupled_cpl extractionPatterns(tool, adjustable pair of _
0.2727272683991621)     0.2727272683991621
coupled_cpl extractionPatterns(tool, axes , small _ 0.250000090279989)
      0.250000090279989
coupled_cpl extractionPatterns(tool, ball peen _ 0.9411761146508295)
      0.9411761146508295
coupled_cpl extractionPatterns(tool, barb with _ 0.23076924664463755)
      0.23076924664463755
coupled_cpl extractionPatterns(tool, baseball throwing _
0.3333334295560505)     0.3333334295560505
coupled_cpl extractionPatterns(tool, clanks of _ 0.2666666239952886)
      0.2666666239952886
coupled_cpl extractionPatterns(tool, construction workers using _
0.250000090279989)      0.250000090279989
coupled_cpl extractionPatterns(tool, grinders , electric _
0.3333334295560505)     0.3333334295560505
coupled_cpl extractionPatterns(tool, guns , electric _
0.30769230656666036)    0.30769230656666036
coupled_cpl extractionPatterns(tool, hand tools including _
0.19999998248682085)    0.19999998248682085
coupled_cpl extractionPatterns(tool, hand tools of _ 0.42253542058279553)
      0.42253542058279553
coupled_cpl extractionPatterns(tool, makita cordless _
0.36000008911152426)    0.36000008911152426
coupled_cpl extractionPatterns(tool, mob wielding _ 0.250000090279989)
      0.250000090279989
coupled_cpl extractionPatterns(tool, needle nosed _ 0.910447538332519)
      0.910447538332519
coupled_cpl extractionPatterns(tool, pair of adjustable _
0.24242424722100475)    0.24242424722100475
coupled_cpl extractionPatterns(tool, pair of diagonal _
0.7647058721018136)     0.7647058721018136
coupled_cpl extractionPatterns(tool, power tools including _
0.23076924664463755)    0.23076924664463755
coupled_cpl extractionPatterns(tool, power tools , like _
0.5000000902799808)     0.5000000902799808
coupled_cpl extractionPatterns(tool, saws , electric _
0.30769230656666036)    0.30769230656666036
coupled_cpl extractionPatterns(tool, short handled _ 0.22666661441549407)
      0.22666661441549407
coupled_cpl extractionPatterns(tool, _ slung behind 0.19999998248682085)
      0.19999998248682085
coupled_cpl extractionPatterns(tool, small pair of _ 0.31976753509858347)
      0.31976753509858347
coupled_cpl extractionPatterns(tool, ties , using _ 0.3846155557798213)
      0.3846155557798213
coupled_cpl extractionPatterns(tool, types of hand-held _
0.2727272683991621)     0.2727272683991621
coupled_cpl extractionPatterns(tool, variety of cordless _
0.2666666239952886)     0.2666666239952886
coupled_cpl extractionPatterns(tool, workers , armed with _
0.37500009487940933)    0.37500009487940933
coupled_cpl extractionPatterns(tool, workers wielding _
0.2666666239952886)     0.2666666239952886
coupled_cpl extractionPatterns(trait, act of great _ 0.2199999411785585)
      0.2199999411785585
coupled_cpl extractionPatterns(trait, act of sexual _ 0.652985078928302)
      0.652985078928302
coupled_cpl extractionPatterns(trait, acts of great _
0.48571414846757255)    0.48571414846757255
coupled_cpl extractionPatterns(trait, acts of political _
0.5228759669116837)     0.5228759669116837
coupled_cpl extractionPatterns(trait, acts of sexual _
0.4518829919631511)     0.4518829919631511
coupled_cpl extractionPatterns(trait, amazing acts of _
0.3086420771000903)     0.3086420771000903
coupled_cpl extractionPatterns(trait, assault , sexual _
0.6947369460199194)     0.6947369460199194
coupled_cpl extractionPatterns(trait, assaults , sexual _
0.727272531722597)      0.727272531722597
coupled_cpl extractionPatterns(trait, case of sexual _
0.5879396337760243)     0.5879396337760243
coupled_cpl extractionPatterns(trait, charge of sexual _
0.6470588696374311)     0.6470588696374311
coupled_cpl extractionPatterns(trait, charges of sexual _
0.6736524189334787)     0.6736524189334787
coupled_cpl extractionPatterns(trait, committed acts of _
0.42045450418019903)    0.42045450418019903
coupled_cpl extractionPatterns(trait, complaints of sexual _
0.8529409160077143)     0.8529409160077143
coupled_cpl extractionPatterns(trait, convictions for sexual _
0.7727273571879908)     0.7727273571879908
coupled_cpl extractionPatterns(trait, countless acts of _
0.38095234134994) 0.38095234134994
coupled_cpl extractionPatterns(trait, counts of sexual _
0.546666692268162)      0.546666692268162
coupled_cpl extractionPatterns(trait, daily acts of _ 0.3282443429223455)
      0.3282443429223455
coupled_cpl extractionPatterns(trait, definition of sexual _
0.6363637151092231)     0.6363637151092231
coupled_cpl extractionPatterns(trait, extraordinary act of _
0.3373494305228815)     0.3373494305228815
coupled_cpl extractionPatterns(trait, extraordinary acts of _
0.5795455598800996)     0.5795455598800996
coupled_cpl extractionPatterns(trait, further acts of _
0.4549548935501529)     0.4549548935501529
coupled_cpl extractionPatterns(trait, future acts of _
0.6168829384886192)     0.6168829384886192
coupled_cpl extractionPatterns(trait, homicide , sexual _
0.7999996410514483)     0.7999996410514483
coupled_cpl extractionPatterns(trait, incidents of sexual _
0.7260727954275547)     0.7260727954275547
coupled_cpl extractionPatterns(trait, individual acts of _
0.3094629200537688)     0.3094629200537688
coupled_cpl extractionPatterns(trait, laws against sexual _
0.7560974567998611)     0.7560974567998611
coupled_cpl extractionPatterns(trait, little acts of _
0.4207316750162134)     0.4207316750162134
coupled_cpl extractionPatterns(trait, many acts of _ 0.2540000030387546)
      0.2540000030387546
coupled_cpl extractionPatterns(trait, more acts of _ 0.467153211080159)
      0.467153211080159
coupled_cpl extractionPatterns(trait, new standards of _
0.2180685098929797)     0.2180685098929797
coupled_cpl extractionPatterns(trait, numerous acts of _
0.5064933928992006)     0.5064933928992006
coupled_cpl extractionPatterns(trait, other forms of sexual _
0.6772904994178479)     0.6772904994178479
coupled_cpl extractionPatterns(trait, paragons of _ 0.361746351216371)
      0.361746351216371
coupled_cpl extractionPatterns(trait, prevention of sexual _
0.7130804726998021)     0.7130804726998021
coupled_cpl extractionPatterns(trait, random act of _ 0.5506218516958641)
      0.5506218516958641
coupled_cpl extractionPatterns(trait, random acts of _
0.47750865193017783)    0.47750865193017783
coupled_cpl extractionPatterns(trait, rape , sexual _ 0.5866387887049799)
      0.5866387887049799
coupled_cpl extractionPatterns(trait, recent acts of _
0.35789486818390726)    0.35789486818390726
coupled_cpl extractionPatterns(trait, reporting of sexual _
0.7346941417870394)     0.7346941417870394
coupled_cpl extractionPatterns(trait, reports of sexual _
0.6851852769452256)     0.6851852769452256
coupled_cpl extractionPatterns(trait, robbery , sexual _
0.7631581463805005)     0.7631581463805005
coupled_cpl extractionPatterns(trait, several acts of _
0.4642857851884937)     0.4642857851884937
coupled_cpl extractionPatterns(trait, similar acts of _
0.4615384099539175)     0.4615384099539175
coupled_cpl extractionPatterns(trait, simple acts of _
0.3694917006036473)     0.3694917006036473
coupled_cpl extractionPatterns(trait, small act of _ 0.3978874908370836)
      0.3978874908370836
coupled_cpl extractionPatterns(trait, small acts of _
0.47979804653500197)    0.47979804653500197
coupled_cpl extractionPatterns(trait, violence , sexual _
0.6336154844113521)     0.6336154844113521
coupled_cpl extractionPatterns(trait, virtues like _ 0.2944785835285073)
      0.2944785835285073
coupled_cpl extractionPatterns(trait, virtues such as _
0.33823545959827594)    0.33823545959827594
coupled_cpl extractionPatterns(trait, weapons of _ 0.6968173180948768)
      0.6968173180948768
coupled_cpl extractionPatterns(university, American studies at _
0.5619047092272066)     0.5619047092272066
coupled_cpl extractionPatterns(university, anthropology at _
0.5815740337465255)     0.5815740337465255
coupled_cpl extractionPatterns(university, anthropology from _
0.3849430029267895)     0.3849430029267895
coupled_cpl extractionPatterns(university, biochemistry from _
0.5445344878758279)     0.5445344878758279
coupled_cpl extractionPatterns(university, biological sciences at _
0.5868547115065821)     0.5868547115065821
coupled_cpl extractionPatterns(university, biomedical engineering at _
0.5856353223110421)     0.5856353223110421
coupled_cpl extractionPatterns(university, chemical engineering at _
0.49258167231842) 0.49258167231842
coupled_cpl extractionPatterns(university, chemical engineering from _
0.5130433163738891)     0.5130433163738891
coupled_cpl extractionPatterns(university, civil engineering from _
0.5558254349202291)     0.5558254349202291
coupled_cpl extractionPatterns(university, clinical psychology from _
0.589041287596711)      0.589041287596711
coupled_cpl extractionPatterns(university, comparative literature at _
0.39024403686422865)    0.39024403686422865
coupled_cpl extractionPatterns(university, computer engineering at _
0.4967318180658209)     0.4967318180658209
coupled_cpl extractionPatterns(university, computer engineering from _
0.4933334324401057)     0.4933334324401057
coupled_cpl extractionPatterns(university, computer science department at
_ 0.5906976399626619) 0.5906976399626619
coupled_cpl extractionPatterns(university, computer science from _
0.549960401841127)      0.549960401841127
coupled_cpl extractionPatterns(university, computer science professor at
_ 0.618556958524558)    0.618556958524558
coupled_cpl extractionPatterns(university, doctoral work at _
0.5622897458130022)     0.5622897458130022
coupled_cpl extractionPatterns(university, economics from _
0.5647156211187566)     0.5647156211187566
coupled_cpl extractionPatterns(university, economics professor at _
0.5726743777359775)     0.5726743777359775
coupled_cpl extractionPatterns(university, education administration from
_ 0.6081869261145028) 0.6081869261145028
coupled_cpl extractionPatterns(university, electrical engineering at _
0.5557348427577988)     0.5557348427577988
coupled_cpl extractionPatterns(university, electrical engineering from _
0.10944621911650754)    0.10944621911650754
coupled_cpl extractionPatterns(university, engineering professor at _
0.6428569836079735)     0.6428569836079735
coupled_cpl extractionPatterns(university, grad student at _
0.32603941500517203)    0.32603941500517203
coupled_cpl extractionPatterns(university, graduate school at _
0.3195287579442353)     0.3195287579442353
coupled_cpl extractionPatterns(university, journalism degree from _
0.5981737592083177)     0.5981737592083177
coupled_cpl extractionPatterns(university, law degrees from _
0.5300001443910834)    0.5300001443910834
coupled_cpl extractionPatterns(university, law professor at _
0.5581899289794202)    0.5581899289794202
coupled_cpl extractionPatterns(university, library science from _
0.587912001262606)     0.587912001262606
coupled_cpl extractionPatterns(university, linguistics from _
0.4754602484336254)    0.4754602484336254
coupled_cpl extractionPatterns(university, mechanical engineering at _
0.5682283024980183)    0.5682283024980183
coupled_cpl extractionPatterns(university, mechanical engineering from _
0.09986320295198534)   0.09986320295198534
coupled_cpl extractionPatterns(university, microbiology from _
0.587912001262606)     0.587912001262606
coupled_cpl extractionPatterns(university, molecular biology from _
0.5856353223110421)    0.5856353223110421
coupled_cpl extractionPatterns(university, neuroscientist at _
0.5748793996053734)    0.5748793996053734
coupled_cpl extractionPatterns(university, organic chemistry from _
0.5619047092272066)    0.5619047092272066
coupled_cpl extractionPatterns(university, physics from _
0.09455127490922909)   0.09455127490922909
coupled_cpl extractionPatterns(university, physics professor at _
0.5735294456295885)    0.5735294456295885
coupled_cpl extractionPatterns(university, political science at _
0.5845341931220293)    0.5845341931220293
coupled_cpl extractionPatterns(university, political science from _
0.32778118897377767)   0.32778118897377767
coupled_cpl extractionPatterns(university, political science professor at
_ 0.5913312073641552) 0.5913312073641552
coupled_cpl extractionPatterns(university, postdoctoral research at _
0.09798273395171424)   0.09798273395171424
coupled_cpl extractionPatterns(university, professor emeritus at _
0.5759767406025079)    0.5759767406025079
coupled_cpl extractionPatterns(university, psychology professor at _
0.5804416498213448)    0.5804416498213448
coupled_cpl extractionPatterns(university, public administration from _
0.5196077910372958)    0.5196077910372958
coupled_cpl extractionPatterns(university, public policy from _
0.10992906333348319)   0.10992906333348319
coupled_cpl extractionPatterns(university, social psychology from _
0.5721649242802084)    0.5721649242802084
coupled_cpl extractionPatterns(university, sociology from _
0.5409637542876321)    0.5409637542876321
coupled_cpl extractionPatterns(university, undergraduate at _
0.569500852026683)     0.569500852026683
coupled_cpl extractionPatterns(university, zoology from _
0.6428569836079735)    0.6428569836079735
coupled_cpl extractionPatterns(vehicle, airline tickets , rental _
0.9365082010581799)    0.9365082010581799
coupled_cpl extractionPatterns(vehicle, ample parking for _
0.2105262353782364)    0.2105262353782364
coupled_cpl extractionPatterns(vehicle, auto parts , used _
0.6504856768174314)    0.6504856768174314
coupled_cpl extractionPatterns(vehicle, autos , classic _ 1.0) 1.0
coupled_cpl extractionPatterns(vehicle, autos , used _
0.6879432017862026)     0.6879432017862026
coupled_cpl extractionPatterns(vehicle, BMW used _ 0.7407404388521638)
      0.7407404388521638
coupled_cpl extractionPatterns(vehicle, book value used _
0.599083674682886)      0.599083674682886
coupled_cpl extractionPatterns(vehicle, budget used _ 0.8922017454018365)
      0.8922017454018365
coupled_cpl extractionPatterns(vehicle, car buying guide lists new _
0.9919356924081847)     0.9919356924081847
coupled_cpl extractionPatterns(vehicle, car parts , used _
0.7547173278779555)     0.7547173278779555
coupled_cpl extractionPatterns(vehicle, cars salvaged _
0.6666667387387801)     0.6666667387387801
coupled_cpl extractionPatterns(vehicle, cars , used _ 0.8402893350203844)
      0.8402893350203844
coupled_cpl extractionPatterns(vehicle, car , used _ 0.6260387555337803)
      0.6260387555337803
coupled_cpl extractionPatterns(vehicle, car values , used _
0.8869568012005298)     0.8869568012005298
coupled_cpl extractionPatterns(vehicle, cell powered _ 0.321525957448212)
      0.321525957448212
coupled_cpl extractionPatterns(vehicle, chauffeur driven _
0.4162621703653308)     0.4162621703653308
coupled_cpl extractionPatterns(vehicle, cheap used _ 0.26842466008342086)
      0.26842466008342086
coupled_cpl extractionPatterns(vehicle, cheep used _ 0.9137931920810003)
      0.9137931920810003
coupled_cpl extractionPatterns(vehicle, classifieds featuring _
0.819999949753549)      0.819999949753549
coupled_cpl extractionPatterns(vehicle, dealer , new _
0.5800001017561787)     0.5800001017561787
coupled_cpl extractionPatterns(vehicle, freightliner used _
0.7108434899947303)     0.7108434899947303
coupled_cpl extractionPatterns(vehicle, georgia used _
0.6571427556538956)     0.6571427556538956
coupled_cpl extractionPatterns(vehicle, _ had crashed into
0.30176219668109394)    0.30176219668109394
coupled_cpl extractionPatterns(vehicle, _ hire companies
0.48421076605402263)    0.48421076605402263
coupled_cpl extractionPatterns(vehicle, _ hire company
0.6301886877966076)     0.6301886877966076
coupled_cpl extractionPatterns(vehicle, _ hire in 0.39787077991340025)
      0.39787077991340025
coupled_cpl extractionPatterns(vehicle, horse drawn _
0.35941268870896836)    0.35941268870896836
coupled_cpl extractionPatterns(vehicle, hydrogen powered _
0.1431717958798929)     0.1431717958798929
coupled_cpl extractionPatterns(vehicle, infiniti used _
0.6833336719372424)     0.6833336719372424
coupled_cpl extractionPatterns(vehicle, inventory of used _
0.6363637151092231)     0.6363637151092231
coupled_cpl extractionPatterns(vehicle, _ is parked in
0.43992588915280995)   0.43992588915280995
coupled_cpl extractionPatterns(vehicle, _ is parked on
0.3836859114581607)    0.3836859114581607
coupled_cpl extractionPatterns(vehicle, new car prices , used _
0.9849247861146825)    0.9849247861146825
coupled_cpl extractionPatterns(vehicle, new car pricing , used _
0.9791670673396261)    0.9791670673396261
coupled_cpl extractionPatterns(vehicle, own fleet of _
0.29383878863849483)   0.29383878863849483
coupled_cpl extractionPatterns(vehicle, _ parked along
0.23791828609480115)   0.23791828609480115
coupled_cpl extractionPatterns(vehicle, _ parked on 0.27892509776403673)
      0.27892509776403673
coupled_cpl extractionPatterns(vehicle, _ parked outside
0.27712267522078016)   0.27712267522078016
coupled_cpl extractionPatterns(vehicle, people riding _
0.1417769827488714)    0.1417769827488714
coupled_cpl extractionPatterns(vehicle, quality inspected used _
0.9793815284100036)    0.9793815284100036
coupled_cpl extractionPatterns(vehicle, quality pre-owned _
0.3627450619968815)    0.3627450619968815
coupled_cpl extractionPatterns(vehicle, quality used _
0.28260870668170146)   0.28260870668170146
coupled_cpl extractionPatterns(vehicle, sales , used _
0.6954890582148341)    0.6954890582148341
coupled_cpl extractionPatterns(vehicle, sale , used _
0.24879226694771714)   0.24879226694771714
coupled_cpl extractionPatterns(vehicle, search for used _
0.7947020614830856)    0.7947020614830856
coupled_cpl extractionPatterns(vehicle, selection of used _
0.6473281021236748)    0.6473281021236748
coupled_cpl extractionPatterns(vehicle, source for used _
0.7934783687037833)    0.7934783687037833
coupled_cpl extractionPatterns(vehicle, trucks used _ 0.3550086938813401)
      0.3550086938813401
coupled_cpl extractionPatterns(vehicle, vehicles including _
0.22232833572183353)   0.22232833572183353
coupled_cpl extractionPatterns(vehicle, volkswagen passat used _
0.7407404388521638)    0.7407404388521638
mbl   extractionPatterns(academicField, AB degree in _
0.4482760738905392)    0.4482760738905392
mbl   extractionPatterns(academicField, Arts degrees in _
0.40942030909979565)   0.40942030909979565
mbl   extractionPatterns(academicField, Bachelor 's in _
0.4556961633467462)    0.4556961633467462
mbl   extractionPatterns(academicField, Bachelor degree in _
0.4280762264824798)    0.4280762264824798
mbl   extractionPatterns(academicField, Bachelors degree in _
0.422455991390304)     0.422455991390304
mbl   extractionPatterns(academicField, Bachelors Degree in _
0.45098058012335385)   0.45098058012335385
mbl   extractionPatterns(academicField, Bachelors degrees in _
0.4946237037263615)    0.4946237037263615
mbl   extractionPatterns(academicField, B.A. cum laude in _
0.43589756757048953)   0.43589756757048953
mbl   extractionPatterns(academicField, B.A. degree in _
0.20104289213133944)   0.20104289213133944
mbl   extractionPatterns(academicField, BA degree in _
0.21203943658131977)   0.21203943658131977
mbl   extractionPatterns(academicField, BA degrees in _
0.31914906402380705)   0.31914906402380705
mbl   extractionPatterns(academicField, B.A. degrees in _
0.40689667318882117)   0.40689667318882117
mbl   extractionPatterns(academicField, B.A. in _ 0.23975229327212466)
      0.23975229327212466
mbl   extractionPatterns(academicField, BA is in _ 0.5000000902799808)
      0.5000000902799808
mbl   extractionPatterns(academicField, book was translated into _
0.4485294214362294)    0.4485294214362294
mbl   extractionPatterns(academicField, BSc degree in _
0.20346322560238883)   0.20346322560238883
mbl   extractionPatterns(academicField, B.S.E. degree in _
0.48571414846757255)   0.48571414846757255
mbl   extractionPatterns(academicField, course description , see _
0.4177216405445475)    0.4177216405445475
mbl   extractionPatterns(academicField, courses are taught in _
0.512711997419056)     0.512711997419056
mbl   extractionPatterns(academicField, Critical Terms for _
0.4615384099539175)    0.4615384099539175
mbl   extractionPatterns(academicField, double majoring in _
0.430962155068213)     0.430962155068213
mbl   extractionPatterns(academicField, Ejournals for _
0.5000000902799808)    0.5000000902799808
mbl   extractionPatterns(academicField, first class degree in _
0.4074072416765353)    0.4074072416765353
mbl   extractionPatterns(academicField, first degree was in _
0.409090858372679)     0.409090858372679
mbl   extractionPatterns(academicField, good honours degree in _
0.2173913703250207)    0.2173913703250207
mbl   extractionPatterns(academicField, Honors degree in _
0.49367098793871467)   0.49367098793871467
mbl   extractionPatterns(academicField, honors work in _
0.4177216405445475)    0.4177216405445475
mbl   extractionPatterns(academicField, Honours degree in _
0.22439755525017627)   0.22439755525017627
mbl   extractionPatterns(academicField, Honours program in _
0.22826090136780616)   0.22826090136780616
mbl   extractionPatterns(academicField, Instruction is in _
0.6075948404409983)    0.6075948404409983
mbl   extractionPatterns(academicField, _ is the systematic study
0.22222231039474505)   0.22222231039474505
mbl   extractionPatterns(academicField, joint honours degree in _
0.5555553693900973)    0.5555553693900973
mbl   extractionPatterns(academicField, Junior majoring in _
0.5238096101988442)    0.5238096101988442
mbl   extractionPatterns(academicField, language besides _
0.5887097506881911)    0.5887097506881911
mbl   extractionPatterns(academicField, languages other than _
0.8084980595740112)    0.8084980595740112
mbl   extractionPatterns(academicField, many different languages
including _ 0.5277777562917705)    0.5277777562917705
mbl   extractionPatterns(academicField, native speaker of _
0.46713125539520095)   0.46713125539520095
mbl   extractionPatterns(academicField, Native speakers of _
0.45731721689997135)   0.45731721689997135
mbl   extractionPatterns(academicField, native speakers of _
0.4888649517207871)    0.4888649517207871
mbl   extractionPatterns(academicField, several languages , including _
0.4468085839089283)    0.4468085839089283
mbl   extractionPatterns(academicField, several languages including _
0.4605264441828088)    0.4605264441828088
mbl   extractionPatterns(academicField, _ speaking staff
0.6451612457620371)    0.6451612457620371
mbl   extractionPatterns(academicField, staff are fluent in _
0.5454544383110917)    0.5454544383110917
mbl   extractionPatterns(academicField, staff fluent in _
0.5555553693900973)    0.5555553693900973
mbl   extractionPatterns(academicField, staff is fluent in _
0.5833330420941402)    0.5833330420941402
mbl   extractionPatterns(academicField, staff speak _ 0.5347825838554165)
      0.5347825838554165
mbl   extractionPatterns(academicField, subject test in _
0.22222231039474505)   0.22222231039474505
mbl   extractionPatterns(academicField, Undergraduate course in _
0.5999997742596369)    0.5999997742596369
mbl   extractionPatterns(academicField, University majoring in _
0.4110575705354055)    0.4110575705354055
mbl   extractionPatterns(academicField, verbal communication skills in _
0.5185182781277219)    0.5185182781277219
mbl   extractionPatterns(acquired, arg1 acquired arg2
0.002021921463777407) 0.002021921463777407
mbl   extractionPatterns(acquired, arg1 acquired from arg2
7.601673131739661E-4) 7.601673131739661E-4
mbl   extractionPatterns(acquired, arg1 announced plans to buy arg2
0.003616635880515029) 0.003616635880515029
mbl   extractionPatterns(acquired, arg1 bought arg2
0.0031821315754499784) 0.0031821315754499784
mbl   extractionPatterns(acquired, arg1 bought out arg2
0.002320185823906617) 0.002320185823906617
mbl   extractionPatterns(acquired, arg1 has acquired arg2
0.001156337033215812) 0.001156337033215812
mbl   extractionPatterns(acquired, arg1 has bought arg2
0.0036927604912785276) 0.0036927604912785276
mbl   extractionPatterns(acquired, arg1 now owns arg2
0.01006711608561055)   0.01006711608561055
mbl   extractionPatterns(acquired, arg1 owns arg2 0.0027423858206242326)
      0.0027423858206242326
mbl   extractionPatterns(acquired, arg1 paid for arg2 4.511958750493833E-
4)    4.511958750493833E-4
mbl   extractionPatterns(acquired, arg1 plans to keep arg2
0.003616635880515029) 0.003616635880515029
mbl   extractionPatterns(acquired, arg1 purchase arg2 9.393194756085109E-
5)    9.393194756085109E-5
mbl   extractionPatterns(acquired, arg1 purchased arg2
0.0018251976435059276) 0.0018251976435059276
mbl   extractionPatterns(acquired, arg1 recently acquired arg2
0.002583978534960798) 0.002583978534960798
mbl   extractionPatterns(acquired, arg1 subsidiary arg2
0.00213037981128454)   0.00213037981128454
mbl   extractionPatterns(acquired, arg1 to Acquire arg2
0.002583978534960798) 0.002583978534960798
mbl   extractionPatterns(acquired, arg1 took over arg2
7.930914669838664E-4) 7.930914669838664E-4
mbl   extractionPatterns(acquired, arg2 acquisition by arg1
0.00723327045499102)   0.00723327045499102
mbl   extractionPatterns(acquired, arg2 being purchased by arg1
0.002583978534960798) 0.002583978534960798
mbl   extractionPatterns(acquired, arg2 is a subsidiary of arg1
0.0010668562918873894) 0.0010668562918873894
mbl   extractionPatterns(acquired, arg2 is now owned by arg1
0.001140250846490517) 0.001140250846490517
mbl   extractionPatterns(acquired, arg2 is owned by arg1
0.0014442010744089352) 0.0014442010744089352
mbl   extractionPatterns(acquired, arg2 owner arg1 1.9259943348724117E-4)
      1.9259943348724117E-4
mbl   extractionPatterns(acquired, arg2 parent arg1 6.940587131189389E-4)
      6.940587131189389E-4
mbl   extractionPatterns(acquired, arg2 was acquired by arg1
0.0021181949323284387) 0.0021181949323284387
mbl   extractionPatterns(acquired, arg2 was bought by arg1
0.002166377199293609) 0.002166377199293609
mbl   extractionPatterns(acquired, arg2 was purchased by arg1
0.0011208252888301015) 0.0011208252888301015
mbl   extractionPatterns(acquired, arg2 was sold to arg1
4.9325858906739E-4)    4.9325858906739E-4
mbl   extractionPatterns(acquired, arg2 which is owned by arg1
0.002583978534960798) 0.002583978534960798
mbl   extractionPatterns(actor, American TV appearances by _
0.122448958638684)     0.122448958638684
mbl   extractionPatterns(actor, Away , starring _ 0.5000000902799808)
      0.5000000902799808
mbl   extractionPatterns(actor, blockbuster starring _
0.5000000902799808)    0.5000000902799808
mbl   extractionPatterns(actor, Bond films starring _ 0.5000000902799808)
      0.5000000902799808
mbl   extractionPatterns(actor, Bond film starring _ 0.6666667387387801)
      0.6666667387387801
mbl   extractionPatterns(actor, Bond movie starring _ 0.5000000902799808)
      0.5000000902799808
mbl   extractionPatterns(actor, book , starring _ 0.5000000902799808)
      0.5000000902799808
mbl   extractionPatterns(actor, Celebrity fans include _
0.5000000902799808)    0.5000000902799808
mbl   extractionPatterns(actor, Chocolate Factory starring _
0.5000000902799808)    0.5000000902799808
mbl   extractionPatterns(actor, classic film starring _
0.5263157295644217)    0.5263157295644217
mbl   extractionPatterns(actor, comedy film starring _
0.45161284671543667)   0.45161284671543667
mbl   extractionPatterns(actor, crime thriller starring _
0.5384616506802858)    0.5384616506802858
mbl   extractionPatterns(actor, detective , played by _
0.5333331516919638)    0.5333331516919638
mbl   extractionPatterns(actor, Entrapment , starring _
0.11764707805838637)   0.11764707805838637
mbl   extractionPatterns(actor, exclusive biography of _
0.681818353811003)     0.681818353811003
mbl   extractionPatterns(actor, Eye starring _ 0.5238096101988442)
      0.5238096101988442
mbl   extractionPatterns(actor, favorite actor is _ 0.3977271744841911)
      0.3977271744841911
mbl   extractionPatterns(actor, favorite actors are _ 0.5423726324643244)
      0.5423726324643244
mbl   extractionPatterns(actor, favorite actors is _ 0.5000000902799808)
      0.5000000902799808
mbl   extractionPatterns(actor, film adaptation starring _
0.5384616506802858)    0.5384616506802858
mbl   extractionPatterns(actor, films , starring _ 0.5000000902799808)
      0.5000000902799808
mbl   extractionPatterns(actor, film version , starring _
0.5294116412047185)    0.5294116412047185
mbl   extractionPatterns(actor, Fire , starring _ 0.5555553693900973)
      0.5555553693900973
mbl   extractionPatterns(actor, Glory starring _ 0.5000000902799808)
      0.5000000902799808
mbl   extractionPatterns(actor, Hamlet starring _ 0.5384616506802858)
      0.5384616506802858
mbl   extractionPatterns(actor, hit movie starring _ 0.5384616506802858)
      0.5384616506802858
mbl   extractionPatterns(actor, hit starring _ 0.5294116412047185)
      0.5294116412047185
mbl   extractionPatterns(actor, Hollywood film starring _
0.5000000902799808)    0.5000000902799808
mbl   extractionPatterns(actor, Hollywood movie starring _
0.5238096101988442)    0.5238096101988442
mbl   extractionPatterns(actor, Hollywood stars such as _
0.40540528846299567)   0.40540528846299567
mbl   extractionPatterns(actor, lawyer played by _ 0.5238096101988442)
      0.5238096101988442
mbl   extractionPatterns(actor, major motion picture starring _
0.39622660363028406)   0.39622660363028406
mbl   extractionPatterns(actor, Man starring _ 0.5384616506802858)
      0.5384616506802858
mbl   extractionPatterns(actor, Men starring _ 0.11764707805838637)
      0.11764707805838637
mbl   extractionPatterns(actor, movie version , starring _
0.5833330420941402)    0.5833330420941402
mbl   extractionPatterns(actor, name starring _ 0.45882335063610696)
      0.45882335063610696
mbl   extractionPatterns(actor, Neville , played by _ 0.5000000902799808)
      0.5000000902799808
mbl   extractionPatterns(actor, new movie starring _ 0.5000000902799808)
      0.5000000902799808
mbl   extractionPatterns(actor, Oz , starring _ 0.5000000902799808)
      0.5000000902799808
mbl   extractionPatterns(actor, Pictures starring _ 0.5238096101988442)
      0.5238096101988442
mbl   extractionPatterns(actor, picture , starring _ 0.5714284502488258)
      0.5714284502488258
mbl   extractionPatterns(actor, remake starring _ 0.14705876649737298)
      0.14705876649737298
mbl   extractionPatterns(actor, Rock , starring _ 0.5000000902799808)
      0.5000000902799808
mbl   extractionPatterns(actor, Rock starring _ 0.5384616506802858)
      0.5384616506802858
mbl   extractionPatterns(actor, stars opposite _ 0.4324325147694968)
      0.4324325147694968
mbl   extractionPatterns(actor, successful film starring _
0.5625000815082595)     0.5625000815082595
mbl   extractionPatterns(actor, voice cast includes _ 0.5555553693900973)
      0.5555553693900973
mbl   extractionPatterns(actor, Wilson , played by _ 0.20588243026254208)
      0.20588243026254208
mbl   extractionPatterns(actor, Woman , starring _ 0.5000000902799808)
      0.5000000902799808
mbl   extractionPatterns(actor, World , starring _ 0.5384616506802858)
      0.5384616506802858
mbl   extractionPatterns(animal, _ are carnivores 0.227040923048981)
      0.227040923048981
mbl   extractionPatterns(animal, _ are herd animals 0.21478881272276706)
      0.21478881272276706
mbl   extractionPatterns(animal, _ are mammals 0.25710595571599737)
      0.25710595571599737
mbl   extractionPatterns(animal, _ are ruminants 0.32000009062028956)
      0.32000009062028956
mbl   extractionPatterns(animal, _ are social animals
0.20391052179727967)    0.20391052179727967
mbl   extractionPatterns(animal, _ are the only animals
0.2634920716679681)     0.2634920716679681
mbl   extractionPatterns(animal, breed of domestic _ 0.6296293286340691)
      0.6296293286340691
mbl   extractionPatterns(animal, breeds of _ 0.42305292058298016)
      0.42305292058298016
mbl   extractionPatterns(animal, breeds of domestic _
0.45689667853773197)    0.45689667853773197
mbl   extractionPatterns(animal, burrows of other _ 0.38053086044079076)
      0.38053086044079076
mbl   extractionPatterns(animal, contact with infected _
0.37055848220326715)    0.37055848220326715
mbl   extractionPatterns(animal, eagles , blue _ 0.3815787605092017)
      0.3815787605092017
mbl   extractionPatterns(animal, favorite animals are _
0.4148936735050458)     0.4148936735050458
mbl   extractionPatterns(animal, FIV positive _ 0.33823545959827594)
      0.33823545959827594
mbl   extractionPatterns(animal, grounds for migratory _
0.5106381811210923)     0.5106381811210923
mbl   extractionPatterns(animal, _ headed god 0.4050632707513099)
      0.4050632707513099
mbl   extractionPatterns(animal, home with other _ 0.4295775478810286)
      0.4295775478810286
mbl   extractionPatterns(animal, hunting of migratory _
0.3970587596711521)     0.3970587596711521
mbl   extractionPatterns(animal, _ immunized with 0.4362141441079238)
      0.4362141441079238
mbl   extractionPatterns(animal, important food source for many _
0.3676470148190857)     0.3676470148190857
mbl   extractionPatterns(animal, importation of live _
0.44736833858929403)    0.44736833858929403
mbl   extractionPatterns(animal, import of live _ 0.46808517582422515)
      0.46808517582422515
mbl   extractionPatterns(animal, imports of live _ 0.39240492515746905)
      0.39240492515746905
mbl   extractionPatterns(animal, mammals such as _ 0.22759307576906856)
      0.22759307576906856
mbl   extractionPatterns(animal, many animals including _
0.37179487056910787)    0.37179487056910787
mbl   extractionPatterns(animal, many different species of _
0.24466581988554092)    0.24466581988554092
mbl   extractionPatterns(animal, many other species of _
0.3505618941281159)     0.3505618941281159
mbl   extractionPatterns(animal, many species of _ 0.25330347579999013)
      0.25330347579999013
mbl   extractionPatterns(animal, more species of _ 0.21647829296660537)
      0.21647829296660537
mbl   extractionPatterns(animal, numbers of migrating _
0.42708338661776024)    0.42708338661776024
mbl   extractionPatterns(animal, numerous species of _
0.2413408570811168)     0.2413408570811168
mbl   extractionPatterns(animal, other animals including _
0.31858403264800494)    0.31858403264800494
mbl   extractionPatterns(animal, pets like _ 0.20471019151235545)
      0.20471019151235545
mbl   extractionPatterns(animal, pets such as _ 0.35144923572368125)
      0.35144923572368125
mbl   extractionPatterns(animal, predators such as _ 0.22062562906776262)
      0.22062562906776262
mbl   extractionPatterns(animal, predators , such as _
0.2430167276366282)     0.2430167276366282
mbl   extractionPatterns(animal, prides of _ 0.544871659067541)
      0.544871659067541
mbl   extractionPatterns(animal, reptiles , including _
0.3149605141243221)     0.3149605141243221
mbl   extractionPatterns(animal, reptiles such as _ 0.3941605363521775)
      0.3941605363521775
mbl   extractionPatterns(animal, saber toothed _ 0.3417721472720594)
      0.3417721472720594
mbl   extractionPatterns(animal, species of domestic _
0.35443050106547513)   0.35443050106547513
mbl   extractionPatterns(animal, species of exotic _ 0.33846147636648366)
      0.33846147636648366
mbl   extractionPatterns(animal, species of migratory _
0.7388886839717214)    0.7388886839717214
mbl   extractionPatterns(animal, species of wild _ 0.3447685350541724)
      0.3447685350541724
mbl   extractionPatterns(animal, Texas horned _ 0.9218746676216723)
      0.9218746676216723
mbl   extractionPatterns(animal, thousands of migrating _
0.43749981326824455)   0.43749981326824455
mbl   extractionPatterns(animal, thousands of migratory _
0.8092486940138065)    0.8092486940138065
mbl   extractionPatterns(animal, valuable habitat for _
0.33846147636648366)   0.33846147636648366
mbl   extractionPatterns(animal, variety of migratory _
0.7029700438198082)    0.7029700438198082
mbl   extractionPatterns(animal, wonderful breed of _ 0.3402063274455738)
      0.3402063274455738
mbl   extractionPatterns(athlete, all-time are _ 0.2666666239952886)
      0.2666666239952886
mbl   extractionPatterns(athlete, Astros traded for _ 0.2666666239952886)
      0.2666666239952886
mbl   extractionPatterns(athlete, baseball great _ 0.2814371850491963)
      0.2814371850491963
mbl   extractionPatterns(athlete, baseball greats like _
0.2666666239952886)    0.2666666239952886
mbl   extractionPatterns(athlete, baseball immortal _ 0.4666666909552191)
      0.4666666909552191
mbl   extractionPatterns(athlete, basketball autographed by _
0.2666666239952886)    0.2666666239952886
mbl   extractionPatterns(athlete, basketball great _ 0.23437497240409422)
      0.23437497240409422
mbl   extractionPatterns(athlete, basketball player like _
0.31249994056428093)   0.31249994056428093
mbl   extractionPatterns(athlete, blockbuster trade for _
0.2666666239952886)    0.2666666239952886
mbl   extractionPatterns(athlete, boxing great _ 0.2692308739524504)
      0.2692308739524504
mbl   extractionPatterns(athlete, _ broke the color barrier
0.32857143715378323)   0.32857143715378323
mbl   extractionPatterns(athlete, Cardinals slugger _ 0.5000000902799808)
      0.5000000902799808
mbl   extractionPatterns(athlete, defensively challenged _
0.19999998248682085)   0.19999998248682085
mbl   extractionPatterns(athlete, _ designed championship golf courses
0.2666666239952886)    0.2666666239952886
mbl   extractionPatterns(athlete, favorite player is _
0.23140496687440543)   0.23140496687440543
mbl   extractionPatterns(athlete, Federer beat _ 0.30434784643986396)
      0.30434784643986396
mbl   extractionPatterns(athlete, golf designed by _ 0.24137923332822347)
      0.24137923332822347
mbl   extractionPatterns(athlete, golfers such as _ 0.21874994613159704)
      0.21874994613159704
mbl   extractionPatterns(athlete, _ has knee surgery 0.18181819858880538)
      0.18181819858880538
mbl   extractionPatterns(athlete, Helmet hand signed by _
0.2666666239952886)     0.2666666239952886
mbl   extractionPatterns(athlete, _ hit homerun number
0.2666666239952886)     0.2666666239952886
mbl   extractionPatterns(athlete, _ hits the game winner
0.4666666909552191)     0.4666666909552191
mbl   extractionPatterns(athlete, Jays released _ 0.250000090279989)
      0.250000090279989
mbl   extractionPatterns(athlete, _ led the Spurs 0.3870966018182884)
      0.3870966018182884
mbl   extractionPatterns(athlete, Manning connected with _
0.5333331516919638)     0.5333331516919638
mbl   extractionPatterns(athlete, NBA player is _ 0.12121214549655876)
      0.12121214549655876
mbl   extractionPatterns(athlete, NBA players such as _
0.250000090279989)      0.250000090279989
mbl   extractionPatterns(athlete, NBA star _ 0.19999998248682085)
      0.19999998248682085
mbl   extractionPatterns(athlete, Notable Alumni include _
0.2666666239952886)     0.2666666239952886
mbl   extractionPatterns(athlete, _ pitches a perfect game
0.2666666239952886)     0.2666666239952886
mbl   extractionPatterns(athletePlaysForTeam, arg1 and the New York arg2
0.006424670073161727) 0.006424670073161727
mbl   extractionPatterns(athletePlaysForTeam, arg1 and the Pittsburgh
arg2 0.009121062312915776)    0.009121062312915776
mbl   extractionPatterns(athletePlaysForTeam, arg1 drove arg2
3.739015614026333E-4) 3.739015614026333E-4
mbl   extractionPatterns(athletePlaysForTeam, arg1 from the Boston arg2
0.0017261220089020044) 0.0017261220089020044
mbl   extractionPatterns(athletePlaysForTeam, arg1 had DD points for the
arg2 0.002487562409500063)    0.002487562409500063
mbl   extractionPatterns(athletePlaysForTeam, arg1 of the Boston arg2
0.001910219733162544) 0.001910219733162544
mbl   extractionPatterns(athletePlaysForTeam, arg1 of the New York arg2
2.4607160183820085E-4) 2.4607160183820085E-4
mbl   extractionPatterns(athletePlaysForTeam, arg1 of the Pittsburgh arg2
0.003710576587566336) 0.003710576587566336
mbl   extractionPatterns(athletePlaysForTeam, arg1 scored DD points
apiece for arg2 0.004545452483420294)     0.004545452483420294
mbl   extractionPatterns(athletePlaysForTeam, arg1 scored DD points for
arg2 0.0025284444682875627) 0.0025284444682875627
mbl   extractionPatterns(athletePlaysForTeam, arg1 started for arg2
8.884937008856904E-4) 8.884937008856904E-4
mbl   extractionPatterns(athletePlaysForTeam, arg1 that gave arg2
1.1741909672995553E-4) 1.1741909672995553E-4
mbl   extractionPatterns(athletePlaysForTeam, arg1 to give the arg2
4.988525948243119E-5) 4.988525948243119E-5
mbl   extractionPatterns(athletePlaysForTeam, arg1 to lead arg2
1.2899344098148819E-4) 1.2899344098148819E-4
mbl   extractionPatterns(athletePlaysForTeam, arg1   to the New York arg2
3.81315668358631E-4)   3.81315668358631E-4
mbl   extractionPatterns(athletePlaysForTeam, arg1   was traded to arg2
8.884937008856904E-4) 8.884937008856904E-4
mbl   extractionPatterns(athletePlaysForTeam, arg2   added arg1
5.44208067612112E-5)   5.44208067612112E-5
mbl   extractionPatterns(athletePlaysForTeam, arg2   and quarterback arg1
0.002487562409500063) 0.002487562409500063
mbl   extractionPatterns(athletePlaysForTeam, arg2   are led by arg1
5.150657477062752E-4) 5.150657477062752E-4
mbl   extractionPatterns(athletePlaysForTeam, arg2   are without arg1
3.5505068643167125E-4) 3.5505068643167125E-4
mbl   extractionPatterns(athletePlaysForTeam, arg2   captain arg1
9.070291222866924E-4) 9.070291222866924E-4
mbl   extractionPatterns(athletePlaysForTeam, arg2   center arg1
1.1015038384212759E-4) 1.1015038384212759E-4
mbl   extractionPatterns(athletePlaysForTeam, arg2   forward arg1
4.8412762402723683E-4) 4.8412762402723683E-4
mbl   extractionPatterns(athletePlaysForTeam, arg2   guard arg1
7.306383163011325E-4) 7.306383163011325E-4
mbl   extractionPatterns(athletePlaysForTeam, arg2   not named arg1
0.001896333488608405) 0.001896333488608405
mbl   extractionPatterns(athletePlaysForTeam, arg2   played without arg1
0.013636367150240247) 0.013636367150240247
mbl   extractionPatterns(athletePlaysForTeam, arg2   point guard arg1
0.005804313099189803) 0.005804313099189803
mbl   extractionPatterns(athletePlaysForTeam, arg2   quarterback arg1
0.014331949544847924) 0.014331949544847924
mbl   extractionPatterns(athletePlaysForTeam, arg2   receiver arg1
0.0034024109354157226) 0.0034024109354157226
mbl   extractionPatterns(athletePlaysForTeam, arg2   rode arg1
6.289310032794468E-4) 6.289310032794468E-4
mbl   extractionPatterns(athletePlaysForTeam, arg2   rookie arg1
8.884937008856904E-4) 8.884937008856904E-4
mbl   extractionPatterns(athletePlaysForTeam, arg2   running back arg1
0.004048584358817949) 0.004048584358817949
mbl   extractionPatterns(athletePlaysForTeam, arg2   slugger arg1
0.0010301313094120805) 0.0010301313094120805
mbl   extractionPatterns(athletePlaysForTeam, arg2   starting quarterback
arg1 1.718901410571532E-4)   1.718901410571532E-4
mbl   extractionPatterns(athletePlaysForTeam, arg2   teammate arg1
0.004239855883739557) 0.004239855883739557
mbl   extractionPatterns(athletePlaysForTeam, arg2   traded for arg1
3.81315668358631E-4)   3.81315668358631E-4
mbl   extractionPatterns(athletePlaysForTeam, arg2   were without arg1
0.0011820335219932482) 0.0011820335219932482
mbl   extractionPatterns(athletePlaysForTeam, arg2   wideout arg1
0.029850759368093047) 0.029850759368093047
mbl   extractionPatterns(athletePlaysForTeam, arg2   wide receiver arg1
0.014070357493073211) 0.014070357493073211
mbl   extractionPatterns(athletePlaysForTeam, arg2   will win because of
arg1 6.747637016572541E-4)   6.747637016572541E-4
mbl   extractionPatterns(athletePlaysForTeam, arg2   won despite arg1
0.02352941355130292)   0.02352941355130292
mbl   extractionPatterns(athletePlaysSport, arg1 announces his retirement
from arg2 0.0032258074112233434) 0.0032258074112233434
mbl   extractionPatterns(athletePlaysSport, arg1 autographed arg2
0.0076161445644232625) 0.0076161445644232625
mbl   extractionPatterns(athletePlaysSport, arg1 learned to play arg2
0.004338394197122398) 0.004338394197122398
mbl   extractionPatterns(athletePlaysSport, arg1 retired from arg2
0.0015633145502964227) 0.0015633145502964227
mbl   extractionPatterns(athletePlaysSport, arg1 retired from
professional arg2 0.004338394197122398) 0.004338394197122398
mbl   extractionPatterns(athletePlaysSport, arg1 was born to play arg2
6.007810495734944E-4) 6.007810495734944E-4
mbl   extractionPatterns(athletePlaysSport, arg2 ace arg1
8.232389987432035E-4) 8.232389987432035E-4
mbl   extractionPatterns(athletePlaysSport, arg2 autographed by arg1
0.010248898936469443) 0.010248898936469443
mbl   extractionPatterns(athletePlaysSport, arg2 career of arg1
0.005008348795228984) 0.005008348795228984
mbl   extractionPatterns(athletePlaysSport, arg2 champ arg1
0.00839223001014931)   0.00839223001014931
mbl   extractionPatterns(athletePlaysSport, arg2 god arg1
4.5544253832059364E-4) 4.5544253832059364E-4
mbl   extractionPatterns(athletePlaysSport, arg2 great arg1
3.5419675292730826E-4) 3.5419675292730826E-4
mbl   extractionPatterns(athletePlaysSport, arg2 greats arg1
0.0029112084764553433) 0.0029112084764553433
mbl   extractionPatterns(athletePlaysSport, arg2 greats as arg1
0.004338394197122398) 0.004338394197122398
mbl   extractionPatterns(athletePlaysSport, arg2 greats like arg1
0.00478469020078872)   0.00478469020078872
mbl   extractionPatterns(athletePlaysSport, arg2 greats such as arg1
0.006956519510800078) 0.006956519510800078
mbl   extractionPatterns(athletePlaysSport, arg2 hero arg1
0.0015381990422267179) 0.0015381990422267179
mbl   extractionPatterns(athletePlaysSport, arg2 heroes was arg1
0.0034782603834344877) 0.0034782603834344877
mbl   extractionPatterns(athletePlaysSport, arg2 hottie arg1
0.01115241737100818)   0.01115241737100818
mbl   extractionPatterns(athletePlaysSport, arg2 icon arg1
0.0014162878789937862) 0.0014162878789937862
mbl   extractionPatterns(athletePlaysSport, arg2 immortal arg1
0.008373209627041234) 0.008373209627041234
mbl   extractionPatterns(athletePlaysSport, arg2 legend arg1
3.361627971544844E-4) 3.361627971544844E-4
mbl   extractionPatterns(athletePlaysSport, arg2 legends arg1
0.0076962583253371575) 0.0076962583253371575
mbl   extractionPatterns(athletePlaysSport, arg2 legends as arg1
0.005217390011109242) 0.005217390011109242
mbl   extractionPatterns(athletePlaysSport, arg2 legends including arg1
0.0018639320821451058) 0.0018639320821451058
mbl   extractionPatterns(athletePlaysSport, arg2 legends like arg1
0.008064512625847835) 0.008064512625847835
mbl   extractionPatterns(athletePlaysSport, arg2 lesson from arg1
0.003407153796484552) 0.003407153796484552
mbl   extractionPatterns(athletePlaysSport, arg2 lessons with arg1
0.0022304832788873526) 0.0022304832788873526
mbl   extractionPatterns(athletePlaysSport, arg2 phenom arg1
0.015332201332925306) 0.015332201332925306
mbl   extractionPatterns(athletePlaysSport, arg2 player arg1
6.982914445592188E-4) 6.982914445592188E-4
mbl   extractionPatterns(athletePlaysSport, arg2 player husband arg1
0.0074349457177837475) 0.0074349457177837475
mbl   extractionPatterns(athletePlaysSport, arg2 player is arg1
0.005279034805304273) 0.005279034805304273
mbl   extractionPatterns(athletePlaysSport, arg2 player like arg1
0.005110730142215146) 0.005110730142215146
mbl   extractionPatterns(athletePlaysSport, arg2 players are arg1
0.002795900616857479) 0.002795900616857479
mbl   extractionPatterns(athletePlaysSport, arg2 players arg1
0.0010579216532886967) 0.0010579216532886967
mbl   extractionPatterns(athletePlaysSport, arg2 players is arg1
0.0018639320821451058) 0.0018639320821451058
mbl   extractionPatterns(athletePlaysSport, arg2 players like arg1
0.004878048678723944) 0.004878048678723944
mbl   extractionPatterns(athletePlaysSport, arg2 players such as arg1
0.0027272731912319085) 0.0027272731912319085
mbl   extractionPatterns(athletePlaysSport, arg2 player than arg1
0.0018639320821451058) 0.0018639320821451058
mbl   extractionPatterns(athletePlaysSport, arg2 pro arg1
8.198821069945663E-4) 8.198821069945663E-4
mbl   extractionPatterns(athletePlaysSport, arg2 prodigy arg1
0.003164557637933339) 0.003164557637933339
mbl   extractionPatterns(athletePlaysSport, arg2 sensation arg1
0.002719854208301258) 0.002719854208301258
mbl   extractionPatterns(athletePlaysSport, arg2 star arg1
0.004960766568927277) 0.004960766568927277
mbl   extractionPatterns(athletePlaysSport, arg2 star husband arg1
0.01115241737100818)    0.01115241737100818
mbl   extractionPatterns(athletePlaysSport, arg2 stars such as arg1
0.004279598851782714) 0.004279598851782714
mbl   extractionPatterns(athletePlaysSport, arg2 superstar arg1
0.01877470112938596)    0.01877470112938596
mbl   extractionPatterns(athlete, QBs like _ 0.2666666239952886)
      0.2666666239952886
mbl   extractionPatterns(athlete, quarterback named _
0.15384618106178571)    0.15384618106178571
mbl   extractionPatterns(athlete, _ signed jersey 0.23809512506891317)
      0.23809512506891317
mbl   extractionPatterns(athlete, sluggers like _ 0.250000090279989)
      0.250000090279989
mbl   extractionPatterns(athlete, soccer great _ 0.19999998248682085)
      0.19999998248682085
mbl   extractionPatterns(athlete, sports figures like _
0.23529411363207658)    0.23529411363207658
mbl   extractionPatterns(athlete, sports stars like _ 0.2666666239952886)
      0.2666666239952886
mbl   extractionPatterns(athlete, sports stars such as _
0.42857136873737717)    0.42857136873737717
mbl   extractionPatterns(athlete, star players like _ 0.294117774006532)
      0.294117774006532
mbl   extractionPatterns(athlete, star players such as _
0.2777777348505767)     0.2777777348505767
mbl   extractionPatterns(athlete, superstars , including _
0.22222231039474505)    0.22222231039474505
mbl   extractionPatterns(athlete, superstar such as _ 0.250000090279989)
      0.250000090279989
mbl   extractionPatterns(athlete, tennis great _ 0.3703702863001145)
      0.3703702863001145
mbl   extractionPatterns(athlete, tennis players , including _
0.250000090279989)      0.250000090279989
mbl   extractionPatterns(athlete, tennis players , such as _
0.2666666239952886)     0.2666666239952886
mbl   extractionPatterns(athlete, tennis racket in _ 0.12499994270999265)
      0.12499994270999265
mbl   extractionPatterns(athlete, Tennis star _ 0.2666666239952886)
      0.2666666239952886
mbl   extractionPatterns(athlete, top players , including _
0.17142850153053285)    0.17142850153053285
mbl   extractionPatterns(athlete, top players including _
0.250000090279989)      0.250000090279989
mbl   extractionPatterns(athlete, voting behind _ 0.3333334295560505)
      0.3333334295560505
mbl   extractionPatterns(awardTrophyTournament, Anaheim won _
0.29999994129778657)    0.29999994129778657
mbl   extractionPatterns(awardTrophyTournament, Bobby Jones won _
0.16666674487136082)    0.16666674487136082
mbl   extractionPatterns(awardTrophyTournament, center court at _
0.24000008535365014)    0.24000008535365014
mbl   extractionPatterns(awardTrophyTournament, commercial aired during _
0.3333334295560505)     0.3333334295560505
mbl   extractionPatterns(awardTrophyTournament, commercials during _
0.11974114393974995)    0.11974114393974995
mbl   extractionPatterns(awardTrophyTournament, DD-stroke victory in _
0.16666674487136082)    0.16666674487136082
mbl   extractionPatterns(awardTrophyTournament, DD-team field for _
0.19999998248682085)    0.19999998248682085
mbl   extractionPatterns(awardTrophyTournament, Detroit won _
0.18750008129470605)    0.18750008129470605
mbl   extractionPatterns(awardTrophyTournament, doubles title at _
0.17073169325714596)    0.17073169325714596
mbl   extractionPatterns(awardTrophyTournament, doubles titles at _
0.2777777348505767)     0.2777777348505767
mbl   extractionPatterns(awardTrophyTournament, first-round exit at _
0.19999998248682085)    0.19999998248682085
mbl   extractionPatterns(awardTrophyTournament, first round exit at _
0.2666666239952886)     0.2666666239952886
mbl   extractionPatterns(awardTrophyTournament, first running of _
0.18987335152497575)    0.18987335152497575
mbl   extractionPatterns(awardTrophyTournament, first tournament since _
0.17777776854941962)    0.17777776854941962
mbl   extractionPatterns(awardTrophyTournament, fourth round at _
0.39655164269306353)    0.39655164269306353
mbl   extractionPatterns(awardTrophyTournament, Goosen won _
0.19999998248682085)   0.19999998248682085
mbl   extractionPatterns(awardTrophyTournament, Grand Slam singles final
at _ 0.19999998248682085)    0.19999998248682085
mbl   extractionPatterns(awardTrophyTournament, Grand Slam title at _
0.14705876649737298)   0.14705876649737298
mbl   extractionPatterns(awardTrophyTournament, high school national _
0.21428572306010352)   0.21428572306010352
mbl   extractionPatterns(awardTrophyTournament, _ hit double figures
0.22388069066168137)   0.22388069066168137
mbl   extractionPatterns(awardTrophyTournament, home game during _
0.14705876649737298)   0.14705876649737298
mbl   extractionPatterns(awardTrophyTournament, IMCA modified _
0.2666666239952886)    0.2666666239952886
mbl   extractionPatterns(awardTrophyTournament, Indianapolis Colts won _
0.611111407559835)     0.611111407559835
mbl   extractionPatterns(awardTrophyTournament, international creative
problem solving _ 0.37500009487940933) 0.37500009487940933
mbl   extractionPatterns(awardTrophyTournament, _ is double elimination
0.43749981326824455)   0.43749981326824455
mbl   extractionPatterns(awardTrophyTournament, _ is single-elimination
0.250000090279989)     0.250000090279989
mbl   extractionPatterns(awardTrophyTournament, last won _
0.1190475840296799)    0.1190475840296799
mbl   extractionPatterns(awardTrophyTournament, major events , like _
0.18181819858880538)   0.18181819858880538
mbl   extractionPatterns(awardTrophyTournament, major sporting events
like _ 0.250000090279989)    0.250000090279989
mbl   extractionPatterns(awardTrophyTournament, major sporting events ,
such as _ 0.19047620506734006)     0.19047620506734006
mbl   extractionPatterns(awardTrophyTournament, major sporting events
such as _ 0.30434784643986396)     0.30434784643986396
mbl   extractionPatterns(awardTrophyTournament, nations competing in _
0.19047620506734006)   0.19047620506734006
mbl   extractionPatterns(awardTrophyTournament, NCAA singles _
0.30434784643986396)   0.30434784643986396
mbl   extractionPatterns(awardTrophyTournament, Ogilvy won _
0.19999998248682085)   0.19999998248682085
mbl   extractionPatterns(awardTrophyTournament, Pete Sampras won _
0.294117774006532)     0.294117774006532
mbl   extractionPatterns(awardTrophyTournament, place heading into _
0.22222231039474505)   0.22222231039474505
mbl   extractionPatterns(awardTrophyTournament, qualifying matches for _
0.18181819858880538)   0.18181819858880538
mbl   extractionPatterns(awardTrophyTournament, run towards _
0.1606217591555022)    0.1606217591555022
mbl   extractionPatterns(awardTrophyTournament, Serena Williams wins _
0.19999998248682085)   0.19999998248682085
mbl   extractionPatterns(awardTrophyTournament, seventh game of _
0.2582781949452089)    0.2582781949452089
mbl   extractionPatterns(awardTrophyTournament, _ singles crown
0.2857142767129624)    0.2857142767129624
mbl   extractionPatterns(awardTrophyTournament, Singles title at _
0.19999998248682085)   0.19999998248682085
mbl   extractionPatterns(awardTrophyTournament, singles title at _
0.3703702863001145)    0.3703702863001145
mbl   extractionPatterns(awardTrophyTournament, singles titles at _
0.449999863298018)     0.449999863298018
mbl   extractionPatterns(awardTrophyTournament, Tampa Bay won _
0.250000090279989)     0.250000090279989
mbl   extractionPatterns(awardTrophyTournament, USCF rated _
0.19999998248682085)   0.19999998248682085
mbl   extractionPatterns(awardTrophyTournament, _ was double elimination
0.23529411363207658)   0.23529411363207658
mbl   extractionPatterns(awardTrophyTournament, _ winning coach
0.12173910593454053)   0.12173910593454053
mbl   extractionPatterns(awardTrophyTournament, Woods going into _
0.19999998248682085)   0.19999998248682085
mbl   extractionPatterns(awardTrophyTournament, world under-DD _
0.2727272683991621)    0.2727272683991621
mbl   extractionPatterns(boardGame, age-old game of _
0.16666674487136082)   0.16666674487136082
mbl   extractionPatterns(boardGame, board game known as _
0.3636363315194487)    0.3636363315194487
mbl   extractionPatterns(boardGame, board game like _ 0.5000000902799808)
      0.5000000902799808
mbl   extractionPatterns(boardGame, board game named _
0.3636363315194487)    0.3636363315194487
mbl   extractionPatterns(boardGame, board game , see _
0.19148936636945865)   0.19148936636945865
mbl   extractionPatterns(boardGame, board games including _
0.29629639239245803)   0.29629639239245803
mbl   extractionPatterns(boardGame, Board games like _
0.3333334295560505)    0.3333334295560505
mbl   extractionPatterns(boardGame, board games , like _
0.42857136873737717)   0.42857136873737717
mbl   extractionPatterns(boardGame, boardgames like _ 0.5454544383110917)
      0.5454544383110917
mbl   extractionPatterns(boardGame, Board games such as _
0.42857136873737717)   0.42857136873737717
mbl   extractionPatterns(boardGame, board game such as _
0.3333334295560505)    0.3333334295560505
mbl   extractionPatterns(boardGame, board-game version of _
0.19999998248682085)   0.19999998248682085
mbl   extractionPatterns(boardGame, butt kicked at _ 0.21428572306010352)
      0.21428572306010352
mbl   extractionPatterns(boardGame, competitive games , such as _
0.19999998248682085)   0.19999998248682085
mbl   extractionPatterns(boardGame, complex game of _ 0.2950819985735859)
      0.2950819985735859
mbl   extractionPatterns(boardGame, complex games like _
0.4545456183474251)    0.4545456183474251
mbl   extractionPatterns(boardGame, complex games such as _
0.2727272683991621)    0.2727272683991621
mbl   extractionPatterns(boardGame, cut-throat game of _
0.19999998248682085)   0.19999998248682085
mbl   extractionPatterns(boardGame, cutthroat game of _
0.5333331516919638)    0.5333331516919638
mbl   extractionPatterns(boardGame, cutthroat games of _
0.2727272683991621)     0.2727272683991621
mbl   extractionPatterns(boardGame, Facebook version of _
0.23076924664463755)    0.23076924664463755
mbl   extractionPatterns(boardGame, face-to-face game of _
0.2727272683991621)     0.2727272683991621
mbl   extractionPatterns(boardGame, family had been playing _
0.19999998248682085)    0.19999998248682085
mbl   extractionPatterns(boardGame, fashion game of _
0.18181819858880538)    0.18181819858880538
mbl   extractionPatterns(boardGame, favorite board game is _
0.43999980291076946)    0.43999980291076946
mbl   extractionPatterns(boardGame, favourite games is _
0.2727272683991621)     0.2727272683991621
mbl   extractionPatterns(boardGame, game of giant _ 0.3999998927496764)
      0.3999998927496764
mbl   extractionPatterns(boardGame, game show , see _
0.18181819858880538)    0.18181819858880538
mbl   extractionPatterns(boardGame, horizon effect in _
0.15384618106178571)    0.15384618106178571
mbl   extractionPatterns(boardGame, impassioned game of _
0.15384618106178571)    0.15384618106178571
mbl   extractionPatterns(boardGame, _ is a classic game
0.7392242155941596)     0.7392242155941596
mbl   extractionPatterns(boardGame, Japanese game of _
0.4666666909552191)     0.4666666909552191
mbl   extractionPatterns(boardGame, life-size game of _
0.2727272683991621)     0.2727272683991621
mbl   extractionPatterns(boardGame, live game of _ 0.30769230656666036)
      0.30769230656666036
mbl   extractionPatterns(boardGame, math version of _ 0.2727272683991621)
      0.2727272683991621
mbl   extractionPatterns(boardGame, mind games like _
0.21428572306010352)    0.21428572306010352
mbl   extractionPatterns(boardGame, old men play _ 0.449999863298018)
      0.449999863298018
mbl   extractionPatterns(boardGame, old men playing _
0.31914906402380705)    0.31914906402380705
mbl   extractionPatterns(boardGame, other classic games like _
0.2727272683991621)     0.2727272683991621
mbl   extractionPatterns(boardGame, _ playing program 0.2675159736097338)
      0.2675159736097338
mbl   extractionPatterns(boardGame, royal game of _ 0.4545456183474251)
      0.4545456183474251
mbl   extractionPatterns(boardGame, simple games such as _
0.19047620506734006)    0.19047620506734006
mbl   extractionPatterns(boardGame, solitaire version of _
0.32000009062028956)    0.32000009062028956
mbl   extractionPatterns(boardGame, stimulating game of _
0.3846155557798213)     0.3846155557798213
mbl   extractionPatterns(boardGame, strategy game like _
0.16666674487136082)    0.16666674487136082
mbl   extractionPatterns(boardGame, strategy games like _
0.22499997227498802)    0.22499997227498802
mbl   extractionPatterns(boardGame, strategy games such as _
0.30769230656666036)    0.30769230656666036
mbl   extractionPatterns(boardGame, The classic game of _
0.3636363315194487)     0.3636363315194487
mbl   extractionPatterns(boardGame, time reading , playing _
0.30769230656666036)    0.30769230656666036
mbl   extractionPatterns(boardGame, traditional games such as _
0.1800000770565633)     0.1800000770565633
mbl   extractionPatterns(bodyPart, abdomen , upper _ 0.250000090279989)
      0.250000090279989
mbl   extractionPatterns(bodyPart, _ amputated above 0.5581396941464135)
      0.5581396941464135
mbl   extractionPatterns(bodyPart, _ are bent at 0.25619843449967966)
      0.25619843449967966
mbl   extractionPatterns(bodyPart, _ are bleeding from
0.2656249307524895)     0.2656249307524895
mbl   extractionPatterns(bodyPart, arm , left _ 0.32142854984110286)
      0.32142854984110286
mbl   extractionPatterns(bodyPart, _ bulged as 0.3333334295560505)
      0.3333334295560505
mbl   extractionPatterns(bodyPart, _ bulged in 0.2976190398735456)
      0.2976190398735456
mbl   extractionPatterns(bodyPart, _ clenched on 0.4687498601707317)
      0.4687498601707317
mbl   extractionPatterns(bodyPart, _ crossed on 0.21695398470035365)
      0.21695398470035365
mbl   extractionPatterns(bodyPart, _ dealing position 0.250000090279989)
      0.250000090279989
mbl   extractionPatterns(bodyPart, _ do the walking 0.5167655442909572)
      0.5167655442909572
mbl   extractionPatterns(bodyPart, _ drive version 0.35294113229229485)
      0.35294113229229485
mbl   extractionPatterns(bodyPart, extra set of _ 0.26985162717813926)
      0.26985162717813926
mbl   extractionPatterns(bodyPart, eyes , small _ 0.25742573712192296)
      0.25742573712192296
mbl   extractionPatterns(bodyPart, first finger of _ 0.21978027098085412)
      0.21978027098085412
mbl   extractionPatterns(bodyPart, _ fixed on 0.32174885216082105)
      0.32174885216082105
mbl   extractionPatterns(bodyPart, _ fixed upon 0.33199479098266)
      0.33199479098266
mbl   extractionPatterns(bodyPart, fourth finger of _
0.27722772462029266)    0.27722772462029266
mbl   extractionPatterns(bodyPart, fresh set of _ 0.25359468876349356)
      0.25359468876349356
mbl   extractionPatterns(bodyPart, guy with big _ 0.22784812281361394)
      0.22784812281361394
mbl   extractionPatterns(bodyPart, hair , dark _ 0.49479190437811893)
      0.49479190437811893
mbl   extractionPatterns(bodyPart, _ is crossed behind 0.520000243051522)
      0.520000243051522
mbl   extractionPatterns(bodyPart, life with open _ 0.250000090279989)
      0.250000090279989
mbl   extractionPatterns(bodyPart, _ locked on 0.2975502978153482)
      0.2975502978153482
mbl   extractionPatterns(bodyPart, minds , open _ 0.2727272683991621)
      0.2727272683991621
mbl   extractionPatterns(bodyPart, _ narrowed as 0.6831170894933692)
      0.6831170894933692
mbl   extractionPatterns(bodyPart, _ narrowed in 0.4613178473126304)
      0.4613178473126304
mbl   extractionPatterns(bodyPart, necklace of human _ 0.250000090279989)
      0.250000090279989
mbl   extractionPatterns(bodyPart, _ outstretched in 0.2416108270444228)
      0.2416108270444228
mbl   extractionPatterns(bodyPart, _ peeled for 0.86193363572528)
      0.86193363572528
mbl   extractionPatterns(bodyPart, people with big _ 0.2492399978331363)
      0.2492399978331363
mbl   extractionPatterns(bodyPart, _ raised as if 0.23437497240409422)
      0.23437497240409422
mbl   extractionPatterns(bodyPart, ring finger of _ 0.25694454386443394)
      0.25694454386443394
mbl   extractionPatterns(bodyPart, ring is worn on _ 0.37362636686399364)
      0.37362636686399364
mbl   extractionPatterns(bodyPart, _ shook as 0.2549295618553327)
      0.2549295618553327
mbl   extractionPatterns(bodyPart, _ strikes the deck 1.0400002983206302)
      1.0400002983206302
mbl   extractionPatterns(bodyPart, _ stung with 0.2542373498653065)
      0.2542373498653065
mbl   extractionPatterns(bodyPart, third finger of _ 0.3974357472864105)
      0.3974357472864105
mbl   extractionPatterns(bodyPart, _ tied behind 0.4702080606494653)
      0.4702080606494653
mbl   extractionPatterns(bodyPart, _ tightened on 0.30676325047240255)
      0.30676325047240255
mbl   extractionPatterns(bodyPart, tongue in _ 0.37411726048482435)
      0.37411726048482435
mbl   extractionPatterns(bodyPart, _ was amputated at
0.47368440086698504)    0.47368440086698504
mbl   extractionPatterns(bodyPart, _ was amputated below
0.7142858833008864)     0.7142858833008864
mbl   extractionPatterns(bodyPart, _ was numb 0.45161284671543667)
      0.45161284671543667
mbl   extractionPatterns(bodyPart, _ went numb 0.21962625899840318)
      0.21962625899840318
mbl   extractionPatterns(bodyPart, _ were burning with
0.2857142767129624)     0.2857142767129624
mbl   extractionPatterns(bodyPart, _ were hurting from
0.22580646412931743)    0.22580646412931743
mbl   extractionPatterns(bodyPart, _ were popping out of
0.23437497240409422)    0.23437497240409422
mbl   extractionPatterns(bodyPart, _ were turned toward
0.2777777348505767)     0.2777777348505767
mbl   extractionPatterns(bodyPart, world with open _ 0.34523808448629006)
      0.34523808448629006
mbl   extractionPatterns(building, artificial turf at _
0.250000090279989)      0.250000090279989
mbl   extractionPatterns(building, baseball game at _
0.14423072567873194)    0.14423072567873194
mbl   extractionPatterns(building, baseball games at _
0.3838382650051877)     0.3838382650051877
mbl   extractionPatterns(building, basketball games at _
0.28455292915371255)    0.28455292915371255
mbl   extractionPatterns(building, bleachers at _ 0.11032033597975066)
      0.11032033597975066
mbl   extractionPatterns(building, center field at _ 0.2954546271349526)
      0.2954546271349526
mbl   extractionPatterns(building, christmas lights on _
0.24074066589511517)    0.24074066589511517
mbl   extractionPatterns(building, Cubs play at _ 0.357143006136159)
      0.357143006136159
mbl   extractionPatterns(building, divisional playoff game at _
0.357143006136159)      0.357143006136159
mbl   extractionPatterns(building, Division battle at _
0.6428569836079735)     0.6428569836079735
mbl   extractionPatterns(building, fan experience at _
0.2592591858756811)     0.2592591858756811
mbl   extractionPatterns(building, final home opener at _
0.862068969929546)      0.862068969929546
mbl   extractionPatterns(building, first pitch at _ 0.10000000929940499)
      0.10000000929940499
mbl   extractionPatterns(building, football team plays at _
0.34615383254489884)    0.34615383254489884
mbl   extractionPatterns(building, Hannah Montana concert at _
0.4117647861768502)     0.4117647861768502
mbl   extractionPatterns(building, _ has been the proud home
0.20754709525079196)    0.20754709525079196
mbl   extractionPatterns(building, hockey games at _ 0.24590155649290768)
      0.24590155649290768
mbl   extractionPatterns(building, home arena at _ 0.2857142767129624)
      0.2857142767129624
mbl   extractionPatterns(building, home debut at _ 0.357143006136159)
      0.357143006136159
mbl   extractionPatterns(building, home games held at _
0.8999995640921492)     0.8999995640921492
mbl   extractionPatterns(building, home game tickets are available for _
0.5238096101988442)     0.5238096101988442
mbl   extractionPatterns(building, home plate at _ 0.22580646412931743)
      0.22580646412931743
mbl   extractionPatterns(building, home run at _ 0.26470586839763205)
      0.26470586839763205
mbl   extractionPatterns(building, Ice show live at _ 0.3207545788949429)
      0.3207545788949429
mbl   extractionPatterns(building, inaugural season at _
0.28260870668170146)    0.28260870668170146
mbl   extractionPatterns(building, _ is a baseball stadium
0.3636363315194487)     0.3636363315194487
mbl   extractionPatterns(building, Long tour at _ 0.3478259736519537)
      0.3478259736519537
mbl   extractionPatterns(building, luxury box at _ 0.35294113229229485)
      0.35294113229229485
mbl   extractionPatterns(building, morning skate at _ 0.357143006136159)
      0.357143006136159
mbl   extractionPatterns(building, NASCAR racing at _
0.31249994056428093)    0.31249994056428093
mbl   extractionPatterns(building, NCAA games at _ 0.2857142767129624)
      0.2857142767129624
mbl   extractionPatterns(building, outdoor game at _ 0.38095234134994)
      0.38095234134994
mbl   extractionPatterns(building, Predators at _ 0.35294113229229485)
      0.35294113229229485
mbl   extractionPatterns(building, rain delay at _ 0.3500000435745399)
      0.3500000435745399
mbl   extractionPatterns(building, Rolling Stones concert at _
0.294117774006532)      0.294117774006532
mbl   extractionPatterns(building, Sabres at _ 0.2857142767129624)
      0.2857142767129624
mbl   extractionPatterns(building, seating chart of _ 0.0917874225501448)
      0.0917874225501448
mbl   extractionPatterns(building, sellout crowd at _
0.09661831108323607)    0.09661831108323607
mbl   extractionPatterns(building, Series game at _ 0.38095234134994)
      0.38095234134994
mbl   extractionPatterns(building, sold-out concert at _
0.34374987281298963)    0.34374987281298963
mbl   extractionPatterns(building, south end zone of _
0.31249994056428093)    0.31249994056428093
mbl   extractionPatterns(building, south lawn of _ 0.37500009487940933)
      0.37500009487940933
mbl   extractionPatterns(building, stadiums such as _ 0.3333334295560505)
      0.3333334295560505
mbl   extractionPatterns(building, stadium was renamed _
0.3333334295560505)     0.3333334295560505
mbl   extractionPatterns(building, Stadium was renamed _
0.34615383254489884)    0.34615383254489884
mbl   extractionPatterns(building, tunnel ventilated _
0.2857142767129624)     0.2857142767129624
mbl   extractionPatterns(building, _ was the first stadium
0.4642857851884937)     0.4642857851884937
mbl   extractionPatterns(building, wood from old _ 0.226415154059809)
      0.226415154059809
mbl   extractionPatterns(building, Yankees play at _ 0.2857142767129624)
      0.2857142767129624
mbl   extractionPatterns(building, Yankees played at _
0.4705881422947763)     0.4705881422947763
mbl   extractionPatterns(celebrity, American TV appearances by _
0.29870136021123084)    0.29870136021123084
mbl   extractionPatterns(celebrity, biopic starring _ 0.5294116412047185)
      0.5294116412047185
mbl   extractionPatterns(celebrity, blockbuster starring _
0.5294116412047185)     0.5294116412047185
mbl   extractionPatterns(celebrity, book , starring _ 0.5238096101988442)
      0.5238096101988442
mbl   extractionPatterns(celebrity, celebrities , like _
0.2388059455883439)    0.2388059455883439
mbl   extractionPatterns(celebrity, celebrity fans including _
0.5294116412047185)    0.5294116412047185
mbl   extractionPatterns(celebrity, celebrity posters of _
0.250000090279989)     0.250000090279989
mbl   extractionPatterns(celebrity, celebs like _ 0.06451613057581944)
      0.06451613057581944
mbl   extractionPatterns(celebrity, celebs such as _ 0.20779214537432678)
      0.20779214537432678
mbl   extractionPatterns(celebrity, comedy film starring _
0.4545456183474251)    0.4545456183474251
mbl   extractionPatterns(celebrity, comedy staring _ 0.5294116412047185)
      0.5294116412047185
mbl   extractionPatterns(celebrity, divas such as _ 0.5555553693900973)
      0.5555553693900973
mbl   extractionPatterns(celebrity, _ Do a love match 0.4545456183474251)
      0.4545456183474251
mbl   extractionPatterns(celebrity, _ enters rehab 0.35294113229229485)
      0.35294113229229485
mbl   extractionPatterns(celebrity, exclusive biography of _
0.520000243051522)     0.520000243051522
mbl   extractionPatterns(celebrity, favorite actor is _
0.2613635314389791)    0.2613635314389791
mbl   extractionPatterns(celebrity, favorite actors are _
0.29999994129778657)   0.29999994129778657
mbl   extractionPatterns(celebrity, favorite actress is _
0.3846155557798213)    0.3846155557798213
mbl   extractionPatterns(celebrity, feature film starring _
0.3370786476640397)    0.3370786476640397
mbl   extractionPatterns(celebrity, Film starring _ 0.5454544383110917)
      0.5454544383110917
mbl   extractionPatterns(celebrity, film version , starring _
0.5294116412047185)    0.5294116412047185
mbl   extractionPatterns(celebrity, Fire , starring _ 0.5000000902799808)
      0.5000000902799808
mbl   extractionPatterns(celebrity, Girls , starring _
0.5555553693900973)    0.5555553693900973
mbl   extractionPatterns(celebrity, Glory starring _ 0.5000000902799808)
      0.5000000902799808
mbl   extractionPatterns(celebrity, Hollywood movie starring _
0.5555553693900973)    0.5555553693900973
mbl   extractionPatterns(celebrity, Hollywood star _ 0.31428564787433483)
      0.31428564787433483
mbl   extractionPatterns(celebrity, Hollywood stars including _
0.42424252260355994)   0.42424252260355994
mbl   extractionPatterns(celebrity, Hollywood stars like _
0.3333334295560505)    0.3333334295560505
mbl   extractionPatterns(celebrity, Hollywood stars such as _
0.07058822027733772)   0.07058822027733772
mbl   extractionPatterns(celebrity, Hood , starring _ 0.5000000902799808)
      0.5000000902799808
mbl   extractionPatterns(celebrity, lawyer played by _
0.5000000902799808)    0.5000000902799808
mbl   extractionPatterns(celebrity, Links Great looking _
0.5454544383110917)    0.5454544383110917
mbl   extractionPatterns(celebrity, main character played by _
0.44444454054060095)   0.44444454054060095
mbl   extractionPatterns(celebrity, motion picture starring _
0.23364486205460408)   0.23364486205460408
mbl   extractionPatterns(celebrity, movie staring _ 0.32098753127070107)
      0.32098753127070107
mbl   extractionPatterns(celebrity, new movie starring _
0.3269231993640343)    0.3269231993640343
mbl   extractionPatterns(celebrity, Oz , starring _ 0.5294116412047185)
      0.5294116412047185
mbl   extractionPatterns(celebrity, photosGreat looking _
0.3611109598036276)    0.3611109598036276
mbl   extractionPatterns(celebrity, physical compatibility with _
0.5000000902799808)    0.5000000902799808
mbl   extractionPatterns(celebrity, Pictures starring _
0.5000000902799808)    0.5000000902799808
mbl   extractionPatterns(celebrity, picture , starring _
0.5294116412047185)    0.5294116412047185
mbl   extractionPatterns(celebrity, Pop star _ 0.05882354965036912)
      0.05882354965036912
mbl   extractionPatterns(celebrity, pop stars like _ 0.09411762021746081)
      0.09411762021746081
mbl   extractionPatterns(celebrity, relationship with supermodel _
0.5555553693900973)    0.5555553693900973
mbl   extractionPatterns(celebrity, remake starring _
0.44117661331500163)   0.44117661331500163
mbl   extractionPatterns(celebrity, same name starring _
0.5333331516919638)    0.5333331516919638
mbl   extractionPatterns(celebrity, starlets like _ 0.20779214537432678)
      0.20779214537432678
mbl   extractionPatterns(celebrity, such actors as _ 0.36134467419307265)
      0.36134467419307265
mbl   extractionPatterns(celebrity, superstars like _
0.06593406839266784)   0.06593406839266784
mbl   extractionPatterns(celebrity, Woman starring _ 0.4800000840385036)
      0.4800000840385036
mbl   extractionPatterns(ceo, address , given by _ 0.037735838980838196)
      0.037735838980838196
mbl   extractionPatterns(ceo, _ became a billionaire 0.03409089292534803)
      0.03409089292534803
mbl   extractionPatterns(ceo, capitalists like _ 0.03571426822054728)
      0.03571426822054728
mbl   extractionPatterns(ceo, CNBC interview with _ 0.11111106414847875)
      0.11111106414847875
mbl   extractionPatterns(ceo, company led by _ 0.01234568092188211)
      0.01234568092188211
mbl   extractionPatterns(ceo, entrepreneurs such as _
0.03174601732799018)   0.03174601732799018
mbl   extractionPatterns(ceo, giant owned by _ 0.16666674487136082)
      0.16666674487136082
mbl   extractionPatterns(ceo, gurus including _ 0.16666674487136082)
      0.16666674487136082
mbl   extractionPatterns(ceo, gurus such as _ 0.07954542793137097)
      0.07954542793137097
mbl   extractionPatterns(ceo, _ has some vision 0.09523811972985817)
      0.09523811972985817
mbl   extractionPatterns(ceo, industry luminaries such as _
0.18750008129470605)   0.18750008129470605
mbl   extractionPatterns(ceo, interview quotes from _
0.11111106414847875)   0.11111106414847875
mbl   extractionPatterns(ceo, _ is a venture capitalist
0.06249998263998874)   0.06249998263998874
mbl   extractionPatterns(ceo, keynote presentation by _
0.019801986857056846) 0.019801986857056846
mbl   extractionPatterns(ceo, keynotes by _ 0.03225807111242474)
      0.03225807111242474
mbl   extractionPatterns(ceo, late wife of _ 0.037735838980838196)
      0.037735838980838196
mbl   extractionPatterns(ceo, major interview with _ 0.11111106414847875)
      0.11111106414847875
mbl   extractionPatterns(ceoOf, arg1 announced arg2 8.320159829875934E-5)
      8.320159829875934E-5
mbl   extractionPatterns(ceoOf, arg1 does at arg2 3.5498749303386565E-4)
      3.5498749303386565E-4
mbl   extractionPatterns(ceoOf, arg1 for a job at arg2
3.5498749303386565E-4) 3.5498749303386565E-4
mbl   extractionPatterns(ceoOf, arg1 has said that arg2
8.077548087598094E-4) 8.077548087598094E-4
mbl   extractionPatterns(ceoOf, arg1 has used arg2 2.0445717860138212E-4)
      2.0445717860138212E-4
mbl   extractionPatterns(ceoOf, arg1 is the founder of arg2
2.0445717860138212E-4) 2.0445717860138212E-4
mbl   extractionPatterns(ceoOf, arg1 joined arg2 5.3499941367365905E-5)
      5.3499941367365905E-5
mbl   extractionPatterns(ceoOf, arg1 leaving arg2 1.4962775224045075E-4)
      1.4962775224045075E-4
mbl   extractionPatterns(ceoOf, arg1 notes that arg2 7.755548052354829E-
5)    7.755548052354829E-5
mbl   extractionPatterns(ceoOf, arg1 ran arg2 5.460003686666487E-5)
      5.460003686666487E-5
mbl   extractionPatterns(ceoOf, arg1 said arg2 2.864435979437572E-5)
      2.864435979437572E-5
mbl   extractionPatterns(ceoOf, arg1 says arg2 4.7041093898467275E-5)
      4.7041093898467275E-5
mbl   extractionPatterns(ceoOf, arg1 says that arg2 4.177894723396591E-5)
      4.177894723396591E-5
mbl   extractionPatterns(ceoOf, arg1 talking about arg2
1.1633320820875231E-4) 1.1633320820875231E-4
mbl   extractionPatterns(ceoOf, arg1 turned arg2 5.460003686666487E-5)
      5.460003686666487E-5
mbl   extractionPatterns(ceoOf, arg1 unveiled arg2 2.0445717860138212E-4)
      2.0445717860138212E-4
mbl   extractionPatterns(ceoOf, arg2 boss arg1 0.004022317700801656)
      0.004022317700801656
mbl   extractionPatterns(ceoOf, arg2 CEO and Founder arg1
2.0445717860138212E-4) 2.0445717860138212E-4
mbl   extractionPatterns(ceoOf, arg2 chairman and CEO arg1
0.0013342232388828595) 0.0013342232388828595
mbl   extractionPatterns(ceoOf, arg2 Chairman and CEO arg1
0.017738355615483155) 0.017738355615483155
mbl   extractionPatterns(ceoOf, arg2 chairman arg1 0.0010651900979729186)
      0.0010651900979729186
mbl   extractionPatterns(ceoOf, arg2 chief arg1 0.0010469940814238719)
      0.0010469940814238719
mbl   extractionPatterns(ceoOf, arg2 chief executive arg1
0.0441264015967877)     0.0441264015967877
mbl   extractionPatterns(ceoOf, arg2 chief executive officer arg1
0.0347394621653606)     0.0347394621653606
mbl   extractionPatterns(ceoOf, arg2 creator arg1 6.779662839145465E-4)
      6.779662839145465E-4
mbl   extractionPatterns(ceoOf, arg2 founder and CEO arg1
0.029776672322343024) 0.029776672322343024
mbl   extractionPatterns(ceoOf, arg2 founder and chairman arg1
0.0013342232388828595) 0.0013342232388828595
mbl   extractionPatterns(ceoOf, arg2 founder arg1 0.020858285991903883)
      0.020858285991903883
mbl   extractionPatterns(ceoOf, arg2 guru arg1 4.940711612684569E-4)
      4.940711612684569E-4
mbl   extractionPatterns(ceoOf, arg2 head arg1 1.9668108477590237E-4)
      1.9668108477590237E-4
mbl   extractionPatterns(ceoOf, arg2 head honcho arg1
0.007444170768823402) 0.007444170768823402
mbl   extractionPatterns(ceoOf, arg2 led to arg1 3.9630640059863995E-5)
      3.9630640059863995E-5
mbl   extractionPatterns(ceoOf, arg2 magnate arg1 0.0013342232388828595)
      0.0013342232388828595
mbl   extractionPatterns(ceoOf, arg2 owner arg1 7.222473360666614E-5)
      7.222473360666614E-5
mbl   extractionPatterns(ceoOf, arg2 president and CEO arg1
8.077548087598094E-4) 8.077548087598094E-4
mbl   extractionPatterns(ceoOf, arg2 supremo arg1 0.0023348888283026632)
      0.0023348888283026632
mbl   extractionPatterns(ceoOf, arg2 was founded in DDDD by arg1
3.550716350401487E-4) 3.550716350401487E-4
mbl   extractionPatterns(ceoOf, arg2 was started by arg1
2.0445717860138212E-4) 2.0445717860138212E-4
mbl   extractionPatterns(ceoOf, arg2 without arg1 4.99408672708988E-6)
      4.99408672708988E-6
mbl   extractionPatterns(ceo, team is owned by _ 0.06382980721544668)
      0.06382980721544668
mbl   extractionPatterns(ceo, technology innovators such as _
0.3333334295560505)     0.3333334295560505
mbl   extractionPatterns(ceo, vultures like _ 0.1052631366954227)
      0.1052631366954227
mbl   extractionPatterns(ceo, whiz kid named _ 0.250000090279989)
      0.250000090279989
mbl   extractionPatterns(city, agency based in _ 0.4267823989408174)
      0.4267823989408174
mbl   extractionPatterns(city, annual conference in _
0.42780320095438856)    0.42780320095438856
mbl   extractionPatterns(city, beautiful city of _ 0.43907282117226587)
      0.43907282117226587
mbl   extractionPatterns(city, big city of _ 0.4831461901534856)
      0.4831461901534856
mbl   extractionPatterns(city, bustling city of _ 0.5709777710179158)
      0.5709777710179158
mbl   extractionPatterns(city, cities including _ 0.3377977281703696)
      0.3377977281703696
mbl   extractionPatterns(city, cities , like _ 0.435616504292058)
      0.435616504292058
mbl   extractionPatterns(city, city center of _ 0.512038736283884)
      0.512038736283884
mbl   extractionPatterns(city, city centre of _ 0.48966245137773934)
      0.48966245137773934
mbl   extractionPatterns(city, city like _ 0.4482657636594078)
      0.4482657636594078
mbl   extractionPatterns(city, city such as _ 0.4654893784655448)
      0.4654893784655448
mbl   extractionPatterns(city, company headquartered in _
0.4279529582807259)     0.4279529582807259
mbl   extractionPatterns(city, company is headquartered in _
0.4491191764802048)     0.4491191764802048
mbl   extractionPatterns(city, Conference held in _ 0.43161339948816124)
      0.43161339948816124
mbl   extractionPatterns(city, Corporation , headquartered in _
0.47906978655579935)    0.47906978655579935
mbl   extractionPatterns(city, daily flights from _ 0.4315068041435547)
      0.4315068041435547
mbl   extractionPatterns(city, Dealership located in _
0.5758511913584214)     0.5758511913584214
mbl   extractionPatterns(city, direct flight from _ 0.580381287028683)
      0.580381287028683
mbl   extractionPatterns(city, drive north of _ 0.5024078695688953)
      0.5024078695688953
mbl   extractionPatterns(city, embassy in _ 0.5074566451455647)
      0.5074566451455647
mbl   extractionPatterns(city, entire city of _ 0.4668118468666805)
      0.4668118468666805
mbl   extractionPatterns(city, firm based in _ 0.2934279955899274)
      0.2934279955899274
mbl   extractionPatterns(city, firm headquartered in _
0.5917926256356312)     0.5917926256356312
mbl   extractionPatterns(city, former mayor of _ 0.42521727729610675)
      0.42521727729610675
mbl   extractionPatterns(city, great city of _ 0.46318719395848335)
      0.46318719395848335
mbl   extractionPatterns(city, head office in _ 0.41513396650011425)
      0.41513396650011425
mbl   extractionPatterns(city, headquarters are in _ 0.43084064087479035)
      0.43084064087479035
mbl   extractionPatterns(city, headquarters in _ 0.43003486163975)
      0.43003486163975
mbl   extractionPatterns(city, home city of _ 0.42494480035954774)
      0.42494480035954774
mbl   extractionPatterns(city, hour north of _ 0.4885746521669681)
      0.4885746521669681
mbl   extractionPatterns(city, hour outside of _ 0.5582089077596429)
      0.5582089077596429
mbl   extractionPatterns(city, _ is a great city 0.44940131190428506)
      0.44940131190428506
mbl   extractionPatterns(city, journalist based in _ 0.48904097478565717)
      0.48904097478565717
mbl   extractionPatterns(city, layover in _ 0.5004412848978329)
      0.5004412848978329
mbl   extractionPatterns(cityLocatedInCountry, arg1 American School in
arg2 0.08108105059266367)    0.08108105059266367
mbl   extractionPatterns(cityLocatedInCountry, arg1 and accredited to
arg2 0.14666664330823304)    0.14666664330823304
mbl   extractionPatterns(cityLocatedInCountry, arg1 and all regions of
arg2 0.08219177851400027)    0.08219177851400027
mbl   extractionPatterns(cityLocatedInCountry, arg1 and distributed
throughout arg2 0.04861111842808953)     0.04861111842808953
mbl   extractionPatterns(cityLocatedInCountry, arg1 and in other cities
in arg2 0.06849311840509602) 0.06849311840509602
mbl   extractionPatterns(cityLocatedInCountry, arg1 and other cities
across arg2 0.027777776068225332) 0.027777776068225332
mbl   extractionPatterns(cityLocatedInCountry, arg1 and other cities in
arg2 0.07239818854501154)    0.07239818854501154
mbl   extractionPatterns(cityLocatedInCountry, arg1 and other cities of
arg2 0.06249998263998874)    0.06249998263998874
mbl   extractionPatterns(cityLocatedInCountry, arg1 and other
destinations in arg2 0.07826083442821027)      0.07826083442821027
mbl   extractionPatterns(cityLocatedInCountry, arg1 and other locations
in arg2 0.015444010819763583)      0.015444010819763583
mbl   extractionPatterns(cityLocatedInCountry, arg1 and other major
cities in arg2 0.08333330414900512)      0.08333330414900512
mbl   extractionPatterns(cityLocatedInCountry, arg1 and other major
cities of arg2 0.10810805962426319)      0.10810805962426319
mbl   extractionPatterns(cityLocatedInCountry, arg1 and other towns in
arg2 0.06741572362948918)    0.06741572362948918
mbl   extractionPatterns(cityLocatedInCountry, arg1 and other towns of
arg2 0.0789473582414435)     0.0789473582414435
mbl   extractionPatterns(cityLocatedInCountry, arg1 and tourist resorts
in arg2 0.05607478683554679) 0.05607478683554679
mbl   extractionPatterns(cityLocatedInCountry, arg1 as the capital of
arg2 0.1011450149823553)     0.1011450149823553
mbl   extractionPatterns(cityLocatedInCountry, arg1 as well as all over
arg2 0.09756094688628882)    0.09756094688628882
mbl   extractionPatterns(cityLocatedInCountry, arg1 became the capital of
arg2 0.08828527026087249)    0.08828527026087249
mbl   extractionPatterns(cityLocatedInCountry, arg1 becomes the capital
of arg2 0.05607478683554679) 0.05607478683554679
mbl   extractionPatterns(cityLocatedInCountry, arg1 being the capital of
arg2 0.10975606133357066)    0.10975606133357066
mbl   extractionPatterns(cityLocatedInCountry, arg1 City University in
arg2 0.18666662633193404)    0.18666662633193404
mbl   extractionPatterns(cityLocatedInCountry, arg1 has been the capital
of arg2 0.04672896831905648) 0.04672896831905648
mbl   extractionPatterns(cityLocatedInCountry, arg1 is a capital of arg2
0.07999997154466548)   0.07999997154466548
mbl   extractionPatterns(cityLocatedInCountry, arg1 is also the capital
of arg2 0.10666662099803373) 0.10666662099803373
mbl   extractionPatterns(cityLocatedInCountry, arg1 is the administrative
capital of arg2 0.06849311840509602)     0.06849311840509602
mbl   extractionPatterns(cityLocatedInCountry, arg1 is the biggest city
in arg2 0.07317071546606509) 0.07317071546606509
mbl   extractionPatterns(cityLocatedInCountry, arg1 is the capital city
of arg2 0.10349655001714053) 0.10349655001714053
mbl   extractionPatterns(cityLocatedInCountry, arg1 is the capital of
arg2 0.10252096138439974)    0.10252096138439974
mbl   extractionPatterns(cityLocatedInCountry, arg1 is the Capital of
arg2 0.10476191286619728)    0.10476191286619728
mbl   extractionPatterns(cityLocatedInCountry, arg1 is the commercial
capital of arg2 0.14666664330823304)     0.14666664330823304
mbl   extractionPatterns(cityLocatedInCountry, arg1 is the financial
capital of arg2 0.08219177851400027)     0.08219177851400027
mbl   extractionPatterns(cityLocatedInCountry, arg1 is the largest city
of arg2 0.09459458931137846) 0.09459458931137846
mbl   extractionPatterns(cityLocatedInCountry, arg1 is the main gateway
to arg2 0.06849311840509602) 0.06849311840509602
mbl   extractionPatterns(cityLocatedInCountry, arg1 is the oldest
university in arg2 0.07999997154466548) 0.07999997154466548
mbl   extractionPatterns(cityLocatedInCountry, arg1 is the only city in
arg2 0.015151511242825131)   0.015151511242825131
mbl   extractionPatterns(cityLocatedInCountry, arg1 Medical University in
arg2 0.020618552534916658)   0.020618552534916658
mbl   extractionPatterns(cityLocatedInCountry, arg1 National University
in arg2 0.13530659519760613) 0.13530659519760613
mbl   extractionPatterns(cityLocatedInCountry, arg1 on the Map of arg2
0.4104476030561067)    0.4104476030561067
mbl   extractionPatterns(cityLocatedInCountry, arg1 School of Economics
in arg2 0.09374996382484606) 0.09374996382484606
mbl   extractionPatterns(cityLocatedInCountry, arg1 The capital city of
arg2 0.06756757978176255)    0.06756757978176255
mbl   extractionPatterns(cityLocatedInCountry, arg1 the capital city of
arg2 0.10434787602525539)    0.10434787602525539
mbl   extractionPatterns(cityLocatedInCountry, arg1 the capital of arg2
0.09453472988385192)   0.09453472988385192
mbl   extractionPatterns(cityLocatedInCountry, arg1 the capitol of arg2
0.0789473582414435)    0.0789473582414435
mbl   extractionPatterns(cityLocatedInCountry, arg1 The largest city in
arg2 0.06849311840509602)    0.06849311840509602
mbl   extractionPatterns(cityLocatedInCountry, arg1 was the first city in
arg2 0.05405403957212513)    0.05405403957212513
mbl   extractionPatterns(cityLocatedInCountry, arg1 with offices
throughout arg2 0.012820510598584696)    0.012820510598584696
mbl   extractionPatterns(cityLocatedInCountry, arg2 and its capital arg1
0.07537685605193616)   0.07537685605193616
mbl   extractionPatterns(cityLocatedInCountry, arg2 in DDDD and lived in
arg1 0.01546391552157567)    0.01546391552157567
mbl   extractionPatterns(cityLocatedInCountry, arg2 in DDDD and settled
in arg1 0.028915658904367408)      0.028915658904367408
mbl   extractionPatterns(cityLocatedInCountry, arg2 region through Dance
in arg1 0.10666662099803373) 0.10666662099803373
mbl   extractionPatterns(cityLocatedInState, arg1 and all of Southern
arg2 0.08750004249163504)    0.08750004249163504
mbl   extractionPatterns(cityLocatedInState, arg1 and the great state of
arg2 0.2173913703250207)     0.2173913703250207
mbl   extractionPatterns(cityLocatedInState, arg1 and throughout the
state of arg2 0.0818181645100543) 0.0818181645100543
mbl   extractionPatterns(cityLocatedInState, arg1 Bay area in arg2
0.17708330631247643)   0.17708330631247643
mbl   extractionPatterns(cityLocatedInState, arg1 Bay area of arg2
0.24458215848205547)   0.24458215848205547
mbl   extractionPatterns(cityLocatedInState, arg1 Bay Area of arg2
0.5700934410056478)    0.5700934410056478
mbl   extractionPatterns(cityLocatedInState, arg1 Bay region of arg2
0.09523811972985817)   0.09523811972985817
mbl   extractionPatterns(cityLocatedInState, arg1 County in the State of
arg2 0.09565216009751124)    0.09565216009751124
mbl   extractionPatterns(cityLocatedInState, arg1 wedding limousine
service companies in arg2 0.0869565248147135) 0.0869565248147135
mbl   extractionPatterns(cityLocatedInState, arg2 Academy of Science in
arg1 0.08750004249163504)    0.08750004249163504
mbl   extractionPatterns(cityLocatedInState, arg2 a suburb of arg1
0.10185184719985511)   0.10185184719985511
mbl   extractionPatterns(cityLocatedInState, arg2 chocolate fountain
rentals in arg1 0.03669723013245386)     0.03669723013245386
mbl   extractionPatterns(cityLocatedInState, arg2 chocolate fountain
rentals including arg1 0.12195123832563648)    0.12195123832563648
mbl   extractionPatterns(cityLocatedInState, arg2 College of Art in arg1
0.09165305242625696)   0.09165305242625696
mbl   extractionPatterns(cityLocatedInState, arg2 College of Arts in arg1
0.09677418540164905)   0.09677418540164905
mbl   extractionPatterns(cityLocatedInState, arg2 College of Optometry in
arg1 0.2903224723980957)     0.2903224723980957
mbl   extractionPatterns(cityLocatedInState, arg2 Convention Center in
downtown arg1 0.13414633803810622) 0.13414633803810622
mbl   extractionPatterns(cityLocatedInState, arg2 dial up numbers in arg1
0.0869565248147135)    0.0869565248147135
mbl   extractionPatterns(cityLocatedInState, arg2 Eye and Ear Infirmary
in arg1 0.24731189651779922) 0.24731189651779922
mbl   extractionPatterns(cityLocatedInState, arg2 Health Science Center
at arg1 0.3807169855354231) 0.3807169855354231
mbl   extractionPatterns(cityLocatedInState, arg2 Health Science Center
in arg1 0.4324325147694968) 0.4324325147694968
mbl   extractionPatterns(cityLocatedInState, arg2 Health Sciences Center
at arg1 0.144927595884536)   0.144927595884536
mbl   extractionPatterns(cityLocatedInState, arg2 Health Sciences Center
in arg1 0.08518516329849238) 0.08518516329849238
mbl   extractionPatterns(cityLocatedInState, arg2 Historical Society in
arg1 0.038596487656747815)   0.038596487656747815
mbl   extractionPatterns(cityLocatedInState, arg2 Hotels Planning your
trip to arg1 0.057142850338827156) 0.057142850338827156
mbl   extractionPatterns(cityLocatedInState, arg2 including cities such
as arg1 0.047619068463024695)      0.047619068463024695
mbl   extractionPatterns(cityLocatedInState, arg2 Institute of Art in
arg1 0.08641975357185036)    0.08641975357185036
mbl   extractionPatterns(cityLocatedInState, arg2 Institute of Technology
in arg1 0.03679740325572912) 0.03679740325572912
mbl   extractionPatterns(cityLocatedInState, arg2 International
University in arg1 0.42535209254009687) 0.42535209254009687
mbl   extractionPatterns(cityLocatedInState, arg2 IVF Clinics in arg1
0.0380952376776241)    0.0380952376776241
mbl   extractionPatterns(cityLocatedInState, arg2 map include arg1
0.10000000929940499)   0.10000000929940499
mbl   extractionPatterns(cityLocatedInState, arg2 Mental Health Center in
arg1 0.08750004249163504)    0.08750004249163504
mbl   extractionPatterns(cityLocatedInState, arg2 Nissan dealer in arg1
0.11594202468607816)   0.11594202468607816
mbl   extractionPatterns(cityLocatedInState, arg2 outside metro arg1
0.0869565248147135)    0.0869565248147135
mbl   extractionPatterns(cityLocatedInState, arg2 School of Design in
arg1 0.13702621789045766)    0.13702621789045766
mbl   extractionPatterns(cityLocatedInState, arg2 School of Fine Arts in
arg1 0.2359550401368888)     0.2359550401368888
mbl   extractionPatterns(cityLocatedInState, arg2 School of Pharmacy in
arg1 0.03669723013245386)    0.03669723013245386
mbl   extractionPatterns(cityLocatedInState, arg2 School of Professional
Psychology in arg1 0.03669723013245386) 0.03669723013245386
mbl   extractionPatterns(cityLocatedInState, arg2 singles go here for
arg1 0.06666668007348202)    0.06666668007348202
mbl   extractionPatterns(cityLocatedInState, arg2 Singles in arg1
0.07569720812486669)   0.07569720812486669
mbl   extractionPatterns(cityLocatedInState, arg2 State Archives in arg1
0.07317071546606509)   0.07317071546606509
mbl   extractionPatterns(cityLocatedInState, arg2 State Capitol in arg1
0.11718750736141513)   0.11718750736141513
mbl   extractionPatterns(cityLocatedInState, arg2 state court in arg1
0.0869565248147135)    0.0869565248147135
mbl   extractionPatterns(cityLocatedInState, arg2 State Fairgrounds in
arg1 0.14444448963660117)    0.14444448963660117
mbl   extractionPatterns(cityLocatedInState, arg2 State Fair in arg1
0.08076924638128688)   0.08076924638128688
mbl   extractionPatterns(cityLocatedInState, arg2 State House in arg1
0.11827959595595704)   0.11827959595595704
mbl   extractionPatterns(cityLocatedInState, arg2 State near arg1
0.03669723013245386)   0.03669723013245386
mbl   extractionPatterns(cityLocatedInState, arg2 State University at
arg1 0.07818933670497984)    0.07818933670497984
mbl   extractionPatterns(cityLocatedInState, arg2 The table below shows
arg1 0.0939597293196162)     0.0939597293196162
mbl   extractionPatterns(cityLocatedInState, arg2 which is a suburb of
arg1 0.07500001240843804)    0.07500001240843804
mbl   extractionPatterns(city, metropolitan area of _ 0.4315672193250988)
      0.4315672193250988
mbl   extractionPatterns(city, news conference in _ 0.4027553392619563)
      0.4027553392619563
mbl   extractionPatterns(city, organization based in _
0.28816357250144725)   0.28816357250144725
mbl   extractionPatterns(city, photographer based in _ 0.435616504292058)
      0.435616504292058
mbl   extractionPatterns(city, plane landed in _ 0.5526314253174481)
      0.5526314253174481
mbl   extractionPatterns(city, regional office in _ 0.4565536779449938)
      0.4565536779449938
mbl   extractionPatterns(city, slums of _ 0.43706690277915905)
      0.43706690277915905
mbl   extractionPatterns(city, start near _ 0.45348821342829043)
      0.45348821342829043
mbl   extractionPatterns(city, suburb of _ 0.42408388556708115)
      0.42408388556708115
mbl   extractionPatterns(city, suburbs of _ 0.3446361693525528)
      0.3446361693525528
mbl   extractionPatterns(city, team based in _ 0.4455129339755013)
      0.4455129339755013
mbl   extractionPatterns(city, town outside of _ 0.6079813936704158)
      0.6079813936704158
mbl   extractionPatterns(city, train ride from _ 0.43175844595683144)
      0.43175844595683144
mbl   extractionPatterns(city, vibrant city of _ 0.5666666879766993)
      0.5666666879766993
mbl   extractionPatterns(city, wonderful city of _ 0.5747127087508299)
      0.5747127087508299
mbl   extractionPatterns(city, writer based in _ 0.3326331659389701)
      0.3326331659389701
mbl   extractionPatterns(clothing, black coat , white _
0.5714284502488258)     0.5714284502488258
mbl   extractionPatterns(clothing, black pants , black _
0.5555553693900973)     0.5555553693900973
mbl   extractionPatterns(clothing, black trousers , black _
0.6153845020195187)     0.6153845020195187
mbl   extractionPatterns(clothing, blouse , grey _ 0.7142858833008864)
      0.7142858833008864
mbl   extractionPatterns(clothing, boots , hiking _ 0.7380955435177985)
      0.7380955435177985
mbl   extractionPatterns(clothing, boots , long _ 0.45205474013018215)
      0.45205474013018215
mbl   extractionPatterns(clothing, boy in short _ 0.7333332807561508)
      0.7333332807561508
mbl   extractionPatterns(clothing, dark suit , white _
0.9687497077422937)     0.9687497077422937
mbl   extractionPatterns(clothing, dresses , fancy _ 0.5714284502488258)
      0.5714284502488258
mbl   extractionPatterns(clothing, dresses , formal _ 0.5000000902799808)
      0.5000000902799808
mbl   extractionPatterns(clothing, dresses prom _ 0.5106381811210923)
      0.5106381811210923
mbl   extractionPatterns(clothing, dry pair of _ 0.5374997414519838)
      0.5374997414519838
mbl   extractionPatterns(clothing, first pair of long _
0.6800003269522281)     0.6800003269522281
mbl   extractionPatterns(clothing, gloves , black _ 0.5483870202352251)
      0.5483870202352251
mbl   extractionPatterns(clothing, gloves , long _ 0.47368440086698504)
      0.47368440086698504
mbl   extractionPatterns(clothing, jacket , long _ 0.5882354418012953)
      0.5882354418012953
mbl   extractionPatterns(clothing, jackets , white _ 0.6315791553969439)
      0.6315791553969439
mbl   extractionPatterns(clothing, jacket , white _ 0.4177216405445475)
      0.4177216405445475
mbl   extractionPatterns(clothing, jeans , casual _ 0.5714284502488258)
      0.5714284502488258
mbl   extractionPatterns(clothing, leather high heeled _
0.7333332807561508)     0.7333332807561508
mbl   extractionPatterns(clothing, mens dress _ 0.6481481384744467)
      0.6481481384744467
mbl   extractionPatterns(clothing, pair of casual _ 0.5576922455625736)
      0.5576922455625736
mbl   extractionPatterns(clothing, pair of dry _ 0.46575338578213604)
      0.46575338578213604
mbl   extractionPatterns(clothing, pair of high-heeled _
0.5789471984236444)     0.5789471984236444
mbl   extractionPatterns(clothing, pants , white _ 0.5514704626101659)
      0.5514704626101659
mbl   extractionPatterns(clothing, rubber soled _ 0.7627903927896802)
      0.7627903927896802
mbl   extractionPatterns(clothing, sandals , hiking _ 0.7333332807561508)
      0.7333332807561508
mbl   extractionPatterns(clothing, shirt , khaki _ 0.6249997682786277)
      0.6249997682786277
mbl   extractionPatterns(clothing, shirt , long _ 0.7882350080665987)
      0.7882350080665987
mbl   extractionPatterns(clothing, shirts , casual _ 0.6315791553969439)
      0.6315791553969439
mbl   extractionPatterns(clothing, shirts , long _ 0.7439027240067309)
      0.7439027240067309
mbl   extractionPatterns(clothing, shirt , tan _ 0.6315791553969439)
      0.6315791553969439
mbl   extractionPatterns(clothing, shoes , casual _ 0.6527774626859351)
      0.6527774626859351
mbl   extractionPatterns(clothing, shoes , hiking _ 0.8039212197416588)
      0.8039212197416588
mbl   extractionPatterns(clothing, shorts , hiking _ 0.565217311307787)
      0.565217311307787
mbl   extractionPatterns(clothing, shorts , white _ 0.4155842157107836)
      0.4155842157107836
mbl   extractionPatterns(clothing, slacks , black _ 0.5882354418012953)
      0.5882354418012953
mbl   extractionPatterns(clothing, slacks , dark _ 0.7333332807561508)
      0.7333332807561508
mbl   extractionPatterns(clothing, slacks , white _ 0.6176471124925761)
      0.6176471124925761
mbl   extractionPatterns(clothing, suit , blue _ 0.6315791553969439)
      0.6315791553969439
mbl   extractionPatterns(clothing, suit , red _ 0.5999997742596369)
      0.5999997742596369
mbl   extractionPatterns(clothing, tie , black _ 0.5925926777864048)
      0.5925926777864048
mbl   extractionPatterns(clothing, tie , white _ 0.5609755260446071)
      0.5609755260446071
mbl   extractionPatterns(clothing, trousers , white _ 0.5918370117470123)
      0.5918370117470123
mbl   extractionPatterns(clothing, uniform of white _ 0.5588232753984311)
      0.5588232753984311
mbl   extractionPatterns(clothing, white button down _
0.8076923887022825)     0.8076923887022825
mbl   extractionPatterns(clothing, white shirt , black _
0.5871558452077752)     0.5871558452077752
mbl   extractionPatterns(clothing, white shirt , dark _
0.5600002773417163)     0.5600002773417163
mbl   extractionPatterns(clothing, white shirt , red _
0.6315791553969439)     0.6315791553969439
mbl   extractionPatterns(clothing, womens hiking _ 0.5789471984236444)
      0.5789471984236444
mbl   extractionPatterns(coach, basketball program under _
0.250000090279989)      0.250000090279989
mbl   extractionPatterns(coach, _ became coach 0.15533984714406057)
      0.15533984714406057
mbl   extractionPatterns(coach, _ became head coach 0.04026844980070137)
      0.04026844980070137
mbl   extractionPatterns(coach, better coach than _ 0.08571426624182829)
      0.08571426624182829
mbl   extractionPatterns(coach, _ coached team 0.16470587030883352)
      0.16470587030883352
mbl   extractionPatterns(coach, coaches , like _ 0.11111106414847875)
      0.11111106414847875
mbl   extractionPatterns(coach, Coaches such as _ 0.09677418540164905)
      0.09677418540164905
mbl   extractionPatterns(coach, coaching career of _ 0.13043477312100557)
      0.13043477312100557
mbl   extractionPatterns(coach, coaching job vacated by _
0.250000090279989)      0.250000090279989
mbl   extractionPatterns(coach, coach other than _ 0.357143006136159)
      0.357143006136159
mbl   extractionPatterns(coach, coach such as _ 0.19047620506734006)
      0.19047620506734006
mbl   extractionPatterns(coach, coordinator under _ 0.045454566061746304)
      0.045454566061746304
mbl   extractionPatterns(coach, current coach is _ 0.16666674487136082)
      0.16666674487136082
mbl   extractionPatterns(coach, current head coach is _
0.045454566061746304) 0.045454566061746304
mbl   extractionPatterns(coachesTeam, arg2 coach arg1
0.003705007484974853) 0.003705007484974853
mbl   extractionPatterns(coachesTeam, arg2 head coach arg1
0.005113219673946176) 0.005113219673946176
mbl   extractionPatterns(coach, first coach since _ 0.09677418540164905)
      0.09677418540164905
mbl   extractionPatterns(coach, great coach in _ 0.10810805962426319)
      0.10810805962426319
mbl   extractionPatterns(coach, _ has been coach 0.17647059800966608)
      0.17647059800966608
mbl   extractionPatterns(coach, _ has been named head coach
0.1052631366954227)     0.1052631366954227
mbl   extractionPatterns(coach, head coach like _ 0.30769230656666036)
      0.30769230656666036
mbl   extractionPatterns(coach, head coach , replacing _
0.21428572306010352)    0.21428572306010352
mbl   extractionPatterns(coach, interim coach after _ 0.250000090279989)
      0.250000090279989
mbl   extractionPatterns(coach, _ is a bad coach 0.2666666239952886)
      0.2666666239952886
mbl   extractionPatterns(coach, _ is a fantastic coach
0.2105262353782364)     0.2105262353782364
mbl   extractionPatterns(coach, _ is a former coach 0.1052631366954227)
      0.1052631366954227
mbl   extractionPatterns(coach, _ is a good coach 0.11688309870983493)
      0.11688309870983493
mbl   extractionPatterns(coach, _ is a great basketball coach
0.15384618106178571)    0.15384618106178571
mbl   extractionPatterns(coach, _ is a great coach 0.04324325549831477)
      0.04324325549831477
mbl   extractionPatterns(coach, _ is a helluva coach 0.14285716415076063)
      0.14285716415076063
mbl   extractionPatterns(coach, _ is an offensive coach
0.14285716415076063)    0.14285716415076063
mbl   extractionPatterns(coach, _ is another coach 0.14285716415076063)
      0.14285716415076063
mbl   extractionPatterns(coach, _ is a terrible coach
0.21428572306010352)    0.21428572306010352
mbl   extractionPatterns(coach, _ is a terrific coach
0.14285716415076063)    0.14285716415076063
mbl   extractionPatterns(coach, _ is the current coach
0.23076924664463755)    0.23076924664463755
mbl   extractionPatterns(coach, _ is the new head coach
0.09677418540164905)    0.09677418540164905
mbl   extractionPatterns(coach, _ is the only coach 0.10714288087576275)
      0.10714288087576275
mbl   extractionPatterns(coach, _ is the other coach 0.11111106414847875)
      0.11111106414847875
mbl   extractionPatterns(coach, _ is the right coach 0.23076924664463755)
      0.23076924664463755
mbl   extractionPatterns(coach, Jerry Jones fired _ 0.21428572306010352)
      0.21428572306010352
mbl   extractionPatterns(coach, Marty Schottenheimer look like _
0.15384618106178571)    0.15384618106178571
mbl   extractionPatterns(coach, Michigan hired _ 0.30769230656666036)
      0.30769230656666036
mbl   extractionPatterns(coach, Ravens hired _ 0.23076924664463755)
      0.23076924664463755
mbl   extractionPatterns(coach, _ resigns as 0.13333333607230202)
      0.13333333607230202
mbl   extractionPatterns(coach, secondary coach under _
0.250000090279989)      0.250000090279989
mbl   extractionPatterns(coach, team coached by _ 0.11173179131696907)
      0.11173179131696907
mbl   extractionPatterns(coach, _ was a better coach 0.11111106414847875)
      0.11111106414847875
mbl   extractionPatterns(coach, _ was a great hire 0.23076924664463755)
      0.23076924664463755
mbl   extractionPatterns(coach, _ was experiencing success
0.1052631366954227)     0.1052631366954227
mbl   extractionPatterns(coach, _ was named the new head coach
0.22222231039474505)    0.22222231039474505
mbl   extractionPatterns(coach, _ was the QB coach 0.250000090279989)
      0.250000090279989
mbl   extractionPatterns(coach, West hired _ 0.15384618106178571)
      0.15384618106178571
mbl   extractionPatterns(company, airlines including _
0.25083623574945196)    0.25083623574945196
mbl   extractionPatterns(company, airlines , including _
0.2817336944898759)     0.2817336944898759
mbl   extractionPatterns(company, airlines such as _ 0.2204723475270658)
      0.2204723475270658
mbl   extractionPatterns(company, behemoths like _ 0.26530610670282023)
      0.26530610670282023
mbl   extractionPatterns(company, brands including _ 0.3180855204897755)
      0.3180855204897755
mbl   extractionPatterns(company, carriers such as _ 0.22668814876672902)
      0.22668814876672902
mbl   extractionPatterns(company, chains like _ 0.23893804179748973)
      0.23893804179748973
mbl   extractionPatterns(company, companies , like _ 0.22280707867543045)
      0.22280707867543045
mbl   extractionPatterns(company, company like _ 0.2277754508542302)
      0.2277754508542302
mbl   extractionPatterns(company, competitors like _ 0.24641454968988696)
      0.24641454968988696
mbl   extractionPatterns(company, competitors such as _
0.253968255022667)      0.253968255022667
mbl   extractionPatterns(company, corporation like _ 0.25714298163942295)
      0.25714298163942295
mbl   extractionPatterns(company, corporations like _ 0.2975892794576039)
      0.2975892794576039
mbl   extractionPatterns(company, corporations , such as _
0.22622956973345265)    0.22622956973345265
mbl   extractionPatterns(company, corporations such as _
0.27557760561052796)    0.27557760561052796
mbl   extractionPatterns(companyEconomicSector, arg2 companies from arg1
0.0015444012255964703) 0.0015444012255964703
mbl   extractionPatterns(companyEconomicSector, arg2 companies like arg1
0.0014786644459507314) 0.0014786644459507314
mbl   extractionPatterns(companyEconomicSector, arg2 companies such as
arg1 0.0011074192175161515) 0.0011074192175161515
mbl   extractionPatterns(companyEconomicSector, arg2 donated by arg1
3.060913411696217E-4) 3.060913411696217E-4
mbl   extractionPatterns(companyEconomicSector, arg2 firm arg1
1.742108867158621E-4) 1.742108867158621E-4
mbl   extractionPatterns(companyEconomicSector, arg2 giant arg1
0.0014739299648707641) 0.0014739299648707641
mbl   extractionPatterns(companyEconomicSector, arg2 giants arg1
4.4296801120318125E-4) 4.4296801120318125E-4
mbl   extractionPatterns(companyEconomicSector, arg2 giants like arg1
0.0018674134264945088) 0.0018674134264945088
mbl   extractionPatterns(companyEconomicSector, arg2 group arg1
2.493702278346385E-5) 2.493702278346385E-5
mbl   extractionPatterns(companyEconomicSector, arg2 manufacturers like
arg1 0.0018674134264945088) 0.0018674134264945088
mbl   extractionPatterns(companyEconomicSector, arg2 manufacturers such
as arg1 0.003734826178628945)      0.003734826178628945
mbl   extractionPatterns(companyEconomicSector, arg2 provided by arg1
2.862703519791898E-5) 2.862703519791898E-5
mbl   extractionPatterns(company, format developed by _
0.3741647763941023)     0.3741647763941023
mbl   extractionPatterns(company, giants like _ 0.2415395623625021)
      0.2415395623625021
mbl   extractionPatterns(company, giants such as _ 0.17803662347394975)
      0.17803662347394975
mbl   extractionPatterns(company, Google bought _ 0.245664621613409)
      0.245664621613409
mbl   extractionPatterns(company, industry leaders like _
0.24126991329838202)    0.24126991329838202
mbl   extractionPatterns(company, industry leaders such as _
0.31129477068163547)    0.31129477068163547
mbl   extractionPatterns(company, makers like _ 0.22734490712401625)
      0.22734490712401625
mbl   extractionPatterns(company, makers such as _ 0.23969475962605302)
      0.23969475962605302
mbl   extractionPatterns(company, manufacturers , including _
0.21780981613685527)    0.21780981613685527
mbl   extractionPatterns(company, manufacturers like _
0.2246611526814563)     0.2246611526814563
mbl   extractionPatterns(company, manufacturers such as _
0.18598913889714075)    0.18598913889714075
mbl   extractionPatterns(company, manufacturers , such as _
0.24116426021607143)    0.24116426021607143
mbl   extractionPatterns(company, media sites like _ 0.4298246259992117)
      0.4298246259992117
mbl   extractionPatterns(company, multinationals like _
0.3061224786760473)     0.3061224786760473
mbl   extractionPatterns(company, networking sites like _
0.325301120824002)      0.325301120824002
mbl   extractionPatterns(company, networking sites , such as _
0.3112244260127084)     0.3112244260127084
mbl   extractionPatterns(company, popular sites like _ 0.30701766264632)
      0.30701766264632
mbl   extractionPatterns(company, _ pre-owned from 0.3010204729804308)
      0.3010204729804308
mbl   extractionPatterns(company, product manager at _
0.23229457335088688)    0.23229457335088688
mbl   extractionPatterns(company, retailers like _ 0.28044602409632724)
      0.28044602409632724
mbl   extractionPatterns(company, retailers such as _ 0.2530328390654673)
      0.2530328390654673
mbl   extractionPatterns(company, retailers , such as _
0.25714298163942295)   0.25714298163942295
mbl   extractionPatterns(company, rivals such as _ 0.25046376991378394)
      0.25046376991378394
mbl   extractionPatterns(company, social networking sites such as _
0.7672205270273867)    0.7672205270273867
mbl   extractionPatterns(company, social networks like _
0.7002345000271017)    0.7002345000271017
mbl   extractionPatterns(company, social networks such as _
0.33108107302041184)   0.33108107302041184
mbl   extractionPatterns(company, social sites like _ 0.3245612528312633)
      0.3245612528312633
mbl   extractionPatterns(company, stores like _ 0.23786404690907367)
      0.23786404690907367
mbl   extractionPatterns(company, stores such as _ 0.23382039525047205)
      0.23382039525047205
mbl   extractionPatterns(company, store such as _ 0.2229729088231305)
      0.2229729088231305
mbl   extractionPatterns(company, vendors , including _
0.25555567168031146)   0.25555567168031146
mbl   extractionPatterns(company, vendors including _
0.30418263041945615)   0.30418263041945615
mbl   extractionPatterns(company, vendors like _ 0.25349910158514494)
      0.25349910158514494
mbl   extractionPatterns(company, vendors such as _ 0.21577458590150597)
      0.21577458590150597
mbl   extractionPatterns(company, vendors , such as _ 0.2468083881220257)
      0.2468083881220257
mbl   extractionPatterns(competesWith, arg1 and MSN and arg2
0.011705680993758818) 0.011705680993758818
mbl   extractionPatterns(competesWith, arg1 and rival arg2
0.00696517184086111)   0.00696517184086111
mbl   extractionPatterns(competesWith, arg1 beat out arg2
0.004382122863400838) 0.004382122863400838
mbl   extractionPatterns(competesWith, arg1 buys arg2
0.005158290772511119) 0.005158290772511119
mbl   extractionPatterns(competesWith, arg1 can compete with arg2
0.0055467506008882355) 0.0055467506008882355
mbl   extractionPatterns(competesWith, arg1 competitor arg2
0.0047125364098958905) 0.0047125364098958905
mbl   extractionPatterns(competesWith, arg1 Corp and arg2
0.00793650719802764)   0.00793650719802764
mbl   extractionPatterns(competesWith, arg1 countered arg2
0.006441222034226263) 0.006441222034226263
mbl   extractionPatterns(competesWith, arg1 Google and arg2
0.00912646358042246)   0.00912646358042246
mbl   extractionPatterns(competesWith, arg1 had approached arg2
0.006441222034226263) 0.006441222034226263
mbl   extractionPatterns(competesWith, arg1 has overtaken arg2
0.008130084190020165) 0.008130084190020165
mbl   extractionPatterns(competesWith, arg1 has surpassed arg2
0.005763686451798238) 0.005763686451798238
mbl   extractionPatterns(competesWith, arg1 has topped arg2
0.006441222034226263) 0.006441222034226263
mbl   extractionPatterns(competesWith, arg1 is ahead of arg2
0.007001170007256656) 0.007001170007256656
mbl   extractionPatterns(competesWith, arg1 is beating arg2
0.008130084190020165) 0.008130084190020165
mbl   extractionPatterns(competesWith, arg1 is competing with arg2
0.008051531155389634) 0.008051531155389634
mbl   extractionPatterns(competesWith, arg1 is copying arg2
0.006441222034226263) 0.006441222034226263
mbl   extractionPatterns(competesWith, arg1 is going after arg2
0.010033447672802183) 0.010033447672802183
mbl   extractionPatterns(competesWith, arg1 lags behind arg2
0.006319115709474171) 0.006319115709474171
mbl   extractionPatterns(competesWith, arg1 MSN and arg2
0.008130084190020165) 0.008130084190020165
mbl   extractionPatterns(competesWith, arg1 or MSN or arg2
0.021739139054112466) 0.021739139054112466
mbl   extractionPatterns(competesWith, arg1 overtakes arg2
0.006319115709474171) 0.006319115709474171
mbl   extractionPatterns(competesWith, arg1 rival arg2
0.006085192000251036) 0.006085192000251036
mbl   extractionPatterns(competesWith, arg1 should buy arg2
0.013856816518814798) 0.013856816518814798
mbl   extractionPatterns(competesWith, arg1 takeover of arg2
0.0367393827436153)    0.0367393827436153
mbl   extractionPatterns(competesWith, arg2 and MSN and arg1
0.011705680993758818) 0.011705680993758818
mbl   extractionPatterns(competesWith, arg2 and rival arg1
0.00696517184086111)   0.00696517184086111
mbl   extractionPatterns(competesWith, arg2 beat out arg1
0.004382122863400838) 0.004382122863400838
mbl   extractionPatterns(competesWith, arg2 buys arg1
0.005158290772511119) 0.005158290772511119
mbl   extractionPatterns(competesWith, arg2 can compete with arg1
0.0055467506008882355) 0.0055467506008882355
mbl   extractionPatterns(competesWith, arg2 competitor arg1
0.0047125364098958905) 0.0047125364098958905
mbl   extractionPatterns(competesWith, arg2 Corp and arg1
0.00793650719802764)   0.00793650719802764
mbl   extractionPatterns(competesWith, arg2 countered arg1
0.006319115709474171) 0.006319115709474171
mbl   extractionPatterns(competesWith, arg2 Google and arg1
0.00912646358042246)   0.00912646358042246
mbl   extractionPatterns(competesWith, arg2 had approached arg1
0.006319115709474171) 0.006319115709474171
mbl   extractionPatterns(competesWith, arg2 has overtaken arg1
0.008051531155389634) 0.008051531155389634
mbl   extractionPatterns(competesWith, arg2 has surpassed arg1
0.005763686451798238) 0.005763686451798238
mbl   extractionPatterns(competesWith, arg2 has topped arg1
0.006319115709474171) 0.006319115709474171
mbl   extractionPatterns(competesWith, arg2 is ahead of arg1
0.007001170007256656) 0.007001170007256656
mbl   extractionPatterns(competesWith, arg2 is beating arg1
0.008051531155389634) 0.008051531155389634
mbl   extractionPatterns(competesWith, arg2 is competing with arg1
0.008051531155389634) 0.008051531155389634
mbl   extractionPatterns(competesWith, arg2 is copying arg1
0.005763686451798238) 0.005763686451798238
mbl   extractionPatterns(competesWith, arg2 is going after arg1
0.010033447672802183) 0.010033447672802183
mbl   extractionPatterns(competesWith, arg2 lags behind arg1
0.005780344476866247) 0.005780344476866247
mbl   extractionPatterns(competesWith, arg2 MSN and arg1
0.008051531155389634) 0.008051531155389634
mbl   extractionPatterns(competesWith, arg2 or MSN or arg1
0.021739139054112466) 0.021739139054112466
mbl   extractionPatterns(competesWith, arg2 overtakes arg1
0.005780344476866247) 0.005780344476866247
mbl   extractionPatterns(competesWith, arg2 rival arg1
0.006085192000251036) 0.006085192000251036
mbl   extractionPatterns(competesWith, arg2 should buy arg1
0.013856816518814798) 0.013856816518814798
mbl   extractionPatterns(competesWith, arg2 takeover of arg1
0.0367393827436153)    0.0367393827436153
mbl   extractionPatterns(conference, abridged version appears in _
0.13333333607230202)   0.13333333607230202
mbl   extractionPatterns(conference, abstract published in _
0.16666674487136082)   0.16666674487136082
mbl   extractionPatterns(conference, areas reflected in _
0.2631579122979848)    0.2631579122979848
mbl   extractionPatterns(conference, _ attendees the opportunity
0.12499994270999265)   0.12499994270999265
mbl   extractionPatterns(conference, co-Chair for _ 0.17391301822769906)
      0.17391301822769906
mbl   extractionPatterns(conference, conference co-chairs for _
0.13333333607230202)   0.13333333607230202
mbl   extractionPatterns(conference, conference such as _
0.059829047010233005) 0.059829047010233005
mbl   extractionPatterns(conference, Conference version appears in _
0.42105281578387377)   0.42105281578387377
mbl   extractionPatterns(conference, earlier version appeared at _
0.1052631366954227)    0.1052631366954227
mbl   extractionPatterns(conference, earlier version appeared in _
0.10344822841225548)   0.10344822841225548
mbl   extractionPatterns(conference, editors attending _
0.13333333607230202)   0.13333333607230202
mbl   extractionPatterns(conference, electronic submission procedure for
_ 0.13333333607230202) 0.13333333607230202
mbl   extractionPatterns(conference, extended abstract appeared in _
0.05405403957212513)   0.05405403957212513
mbl   extractionPatterns(conference, extended abstract appears in _
0.250000090279989)     0.250000090279989
mbl   extractionPatterns(conference, format guidelines of _
0.2631579122979848)    0.2631579122979848
mbl   extractionPatterns(conference, general chair of _
0.08641975357185036)   0.08641975357185036
mbl   extractionPatterns(conference, influential paper of _
0.1052631366954227)    0.1052631366954227
mbl   extractionPatterns(conference, _ is the premiere forum
0.11764707805838637)   0.11764707805838637
mbl   extractionPatterns(conference, _ is the premier international
conference 0.09090911570894615)    0.09090911570894615
mbl   extractionPatterns(conference, paper accepted at _
0.19512185854138236)   0.19512185854138236
mbl   extractionPatterns(conference, paper award at _
0.08552632976316965)   0.08552632976316965
mbl   extractionPatterns(conference, Paper award at _
0.12499994270999265)   0.12499994270999265
mbl   extractionPatterns(conference, paper awards at _
0.14705876649737298)   0.14705876649737298
mbl   extractionPatterns(conference, paper is accepted in _
0.250000090279989)     0.250000090279989
mbl   extractionPatterns(conference, practice talk for _
0.10714288087576275)   0.10714288087576275
mbl   extractionPatterns(conference, preliminary version appeared at _
0.250000090279989)     0.250000090279989
mbl   extractionPatterns(conference, Preliminary version appeared in _
0.07843139385133113)   0.07843139385133113
mbl   extractionPatterns(conference, preliminary version appeared in _
0.11510793794428005)   0.11510793794428005
mbl   extractionPatterns(conference, program co-chair for _
0.14999999773288222)   0.14999999773288222
mbl   extractionPatterns(conference, program committees for _
0.06779661578209031)   0.06779661578209031
mbl   extractionPatterns(conference, program committees such as _
0.13333333607230202)   0.13333333607230202
mbl   extractionPatterns(conference, satellite event of _
0.16129036968565943)   0.16129036968565943
mbl   extractionPatterns(conference, satellite workshop of _
0.15384618106178571)   0.15384618106178571
mbl   extractionPatterns(conference, satellite workshops of _
0.2631579122979848)    0.2631579122979848
mbl   extractionPatterns(conference, shorter version appears in _
0.17647059800966608)   0.17647059800966608
mbl   extractionPatterns(conference, short version appeared in _
0.16666674487136082)   0.16666674487136082
mbl   extractionPatterns(conference, short version appears in _
0.11764707805838637)   0.11764707805838637
mbl   extractionPatterns(conference, special track at _
0.09523811972985817)   0.09523811972985817
mbl   extractionPatterns(conference, student volunteer at _
0.12499994270999265)   0.12499994270999265
mbl   extractionPatterns(conference, tutorial committee for _
0.09523811972985817)   0.09523811972985817
mbl   extractionPatterns(conference, Tutorial given at _
0.14999999773288222)   0.14999999773288222
mbl   extractionPatterns(conference, tutorial presented at _
0.07692310442012312)   0.07692310442012312
mbl   extractionPatterns(conference, Workshop associated with _
0.16666674487136082)   0.16666674487136082
mbl   extractionPatterns(conference, workshop co-located with _
0.1052631366954227)     0.1052631366954227
mbl   extractionPatterns(conference, workshops affiliated with _
0.16666674487136082)    0.16666674487136082
mbl   extractionPatterns(country, African country of _
0.6433959235445315)     0.6433959235445315
mbl   extractionPatterns(country, African nation of _ 0.7716979978412852)
      0.7716979978412852
mbl   extractionPatterns(country, border areas with _ 0.781250060884007)
      0.781250060884007
mbl   extractionPatterns(country, border into _ 0.49350662286803415)
      0.49350662286803415
mbl   extractionPatterns(country, border with _ 0.5030392903022869)
      0.5030392903022869
mbl   extractionPatterns(country, capital of independent _
0.7441862049442668)     0.7441862049442668
mbl   extractionPatterns(country, countries except _ 0.656050835434554)
      0.656050835434554
mbl   extractionPatterns(country, countries , including _
0.36819963554961976)    0.36819963554961976
mbl   extractionPatterns(country, countries , like _ 0.4775950888184796)
      0.4775950888184796
mbl   extractionPatterns(country, countries other than _
0.500850813343178)      0.500850813343178
mbl   extractionPatterns(country, country like _ 0.31009114766312)
      0.31009114766312
mbl   extractionPatterns(country, Cup qualifier against _
0.8017238957727875)     0.8017238957727875
mbl   extractionPatterns(country, current conflict in _
0.7230043790965599)     0.7230043790965599
mbl   extractionPatterns(country, DHL activities in _ 0.7802194911293168)
      0.7802194911293168
mbl   extractionPatterns(country, diplomatic relations with _
0.49643883273233447)    0.49643883273233447
mbl   extractionPatterns(country, embargo against _ 0.6428569836079735)
      0.6428569836079735
mbl   extractionPatterns(country, Flickr photographs from _
0.7721518896951434)     0.7721518896951434
mbl   extractionPatterns(country, _ has a multi-party system
0.7301589710399148)     0.7301589710399148
mbl   extractionPatterns(country, home country of _ 0.6501728684433271)
      0.6501728684433271
mbl   extractionPatterns(country, imports from _ 0.3060468757611587)
      0.3060468757611587
mbl   extractionPatterns(country, international SIM card for _
0.9102563644234322)     0.9102563644234322
mbl   extractionPatterns(country, invasion of _ 0.4502825519671206)
      0.4502825519671206
mbl   extractionPatterns(country, Israel invaded _ 0.7512956722292206)
      0.7512956722292206
mbl   extractionPatterns(country, _ is the first country
0.7241382150870928)     0.7241382150870928
mbl   extractionPatterns(country, _ is the only country
0.4707458157312711)     0.4707458157312711
mbl   extractionPatterns(country, leisure hotels across _
0.7530866385240661)    0.7530866385240661
mbl   extractionPatterns(country, locations Addresses in _
0.8105266965317525)    0.8105266965317525
mbl   extractionPatterns(country, major combat operations in _
0.7647058721018136)    0.7647058721018136
mbl   extractionPatterns(country, merchant acceptability in _
0.933333213387829)     0.933333213387829
mbl   extractionPatterns(country, national airline of _
0.7891569935865692)    0.7891569935865692
mbl   extractionPatterns(country, nations like _ 0.6596710350252506)
      0.6596710350252506
mbl   extractionPatterns(country, nations such as _ 0.4886108080289788)
      0.4886108080289788
mbl   extractionPatterns(country, nations , such as _ 0.6500955024753488)
      0.6500955024753488
mbl   extractionPatterns(country, Occupation of _ 0.7500000543388377)
      0.7500000543388377
mbl   extractionPatterns(country, Oficies in _ 0.8163264032626143)
      0.8163264032626143
mbl   extractionPatterns(country, Peace Corps volunteer in _
0.7235417709665861)    0.7235417709665861
mbl   extractionPatterns(country, prime minister of _ 0.5286456078902192)
      0.5286456078902192
mbl   extractionPatterns(country, several international movers in _
0.7187497749382623)    0.7187497749382623
mbl   extractionPatterns(country, Several leading car hire companies
operates in _ 0.9473686306771265) 0.9473686306771265
mbl   extractionPatterns(country, _ showing the main settlements
0.7857143303561276)    0.7857143303561276
mbl   extractionPatterns(country, specific human rights concerns in _
0.7608698201084958)    0.7608698201084958
mbl   extractionPatterns(country, Tourist offices in _
0.8192770286529365)    0.8192770286529365
mbl   extractionPatterns(country, _ travel services 0.7607762388759863)
      0.7607762388759863
mbl   extractionPatterns(country, troops from _ 0.28305218472970584)
      0.28305218472970584
mbl   extractionPatterns(country, troops out of _ 0.6394985022692456)
      0.6394985022692456
mbl   extractionPatterns(country, troop withdrawal from _
0.8578946264771491)    0.8578946264771491
mbl   extractionPatterns(country, troop withdrawals from _
0.8770493647462038)    0.8770493647462038
mbl   extractionPatterns(country, war in _ 0.4040163223421962)
      0.4040163223421962
mbl   extractionPatterns(country, _ was the first country
0.641059501702893)     0.641059501702893
mbl   extractionPatterns(country, WorldWide florist in _
0.9500002796682142)    0.9500002796682142
mbl   extractionPatterns(economicSector, additional layer of _
0.20982509001772365)   0.20982509001772365
mbl   extractionPatterns(economicSector, additional level of _
0.1321462520058432)    0.1321462520058432
mbl   extractionPatterns(economicSector, advent of _ 0.06129806515978602)
      0.06129806515978602
mbl   extractionPatterns(economicSector, amounts of spatial _
0.3333334295560505)    0.3333334295560505
mbl   extractionPatterns(economicSector, _ are being developed every day
0.0869565248147135)    0.0869565248147135
mbl   extractionPatterns(economicSector, _ are provided at
0.09547011618440616)   0.09547011618440616
mbl   extractionPatterns(economicSector, _ are provided by
0.06789085071241997)   0.06789085071241997
mbl   extractionPatterns(economicSector, _ are provided on
0.05987285790547589)   0.05987285790547589
mbl   extractionPatterns(economicSector, comprehensive range of _
0.1503195375978909)    0.1503195375978909
mbl   extractionPatterns(economicSector, diverse industries as _
0.10679608611402294)   0.10679608611402294
mbl   extractionPatterns(economicSector, educational potential of _
0.12068963845582427)   0.12068963845582427
mbl   extractionPatterns(economicSector, enhanced level of _
0.10752692474831077)   0.10752692474831077
mbl   extractionPatterns(economicSector, extra layer of _
0.13276349058911432)   0.13276349058911432
mbl   extractionPatterns(economicSector, extra level of _
0.19628433150781124)   0.19628433150781124
mbl   extractionPatterns(economicSector, firm providing _
0.15633939905989216)   0.15633939905989216
mbl   extractionPatterns(economicSector, frame of _ 0.2415279687417578)
      0.2415279687417578
mbl   extractionPatterns(economicSector, full range of _
0.09617613779004308)   0.09617613779004308
mbl   extractionPatterns(economicSector, _ including economic overview
0.22689067169660743)   0.22689067169660743
mbl   extractionPatterns(economicSector, industries , from _
0.08661415708868203)   0.08661415708868203
mbl   extractionPatterns(economicSector, industries include _
0.11504430085187464)   0.11504430085187464
mbl   extractionPatterns(economicSector, industries including _
0.08381628153267318)   0.08381628153267318
mbl   extractionPatterns(economicSector, industries ranging from _
0.10030397035520977)   0.10030397035520977
mbl   extractionPatterns(economicSector, industry sectors including _
0.1370968045671804)    0.1370968045671804
mbl   extractionPatterns(economicSector, information , statistical _
0.2592591858756811)    0.2592591858756811
mbl   extractionPatterns(economicSector, level of online _
0.20091326127635958)   0.20091326127635958
mbl   extractionPatterns(economicSector, note for future _
0.33802818479775915)   0.33802818479775915
mbl   extractionPatterns(economicSector, number of clinical _
0.2970000416332958)    0.2970000416332958
mbl   extractionPatterns(economicSector, _ obtained in
0.11654020013049235)   0.11654020013049235
mbl   extractionPatterns(economicSector, _ obtained with
0.20188056879973532)   0.20188056879973532
mbl   extractionPatterns(economicSector, _ offered by
0.09061269086230621)   0.09061269086230621
mbl   extractionPatterns(economicSector, _ offered on
0.14056672386293625)   0.14056672386293625
mbl   extractionPatterns(economicSector, _ offered through
0.10481283953002717)   0.10481283953002717
mbl   extractionPatterns(economicSector, _ provided by
0.06879590886379021)   0.06879590886379021
mbl   extractionPatterns(economicSector, range of emotional _
0.11139899200042984)   0.11139899200042984
mbl   extractionPatterns(economicSector, range of medical _
0.22820817918923625)   0.22820817918923625
mbl   extractionPatterns(economicSector, resources on _
0.07057876208953329)   0.07057876208953329
mbl   extractionPatterns(economicSector, sectors include _
0.12727273187709287)   0.12727273187709287
mbl   extractionPatterns(economicSector, sectors , including _
0.10384955642228996)   0.10384955642228996
mbl   extractionPatterns(economicSector, sectors like _
0.11428568004223633)   0.11428568004223633
mbl   extractionPatterns(economicSector, sectors such as _
0.08829674809204927)   0.08829674809204927
mbl   extractionPatterns(economicSector, sectors , such as _
0.0883881825354868)    0.0883881825354868
mbl   extractionPatterns(economicSector, sources of biological _
0.19642865352331296)   0.19642865352331296
mbl   extractionPatterns(economicSector, third party personal _
0.4814812448539952)    0.4814812448539952
mbl   extractionPatterns(economicSector, value added _
0.20407963370705115)   0.20407963370705115
mbl   extractionPatterns(economicSector, vertical markets including _
0.09482757846024115)   0.09482757846024115
mbl   extractionPatterns(economicSector, verticals such as _
0.0970873684694753)    0.0970873684694753
mbl   extractionPatterns(economicSector, _ were published in
0.060041217156238426) 0.060041217156238426
mbl   extractionPatterns(emotion, cause of great _ 0.22043002089982686)
      0.22043002089982686
mbl   extractionPatterns(emotion, deep feelings of _ 0.19075145138747326)
      0.19075145138747326
mbl   extractionPatterns(emotion, emotion like _ 0.22099438169104507)
      0.22099438169104507
mbl   extractionPatterns(emotion, emotions , from _ 0.25624993556069736)
      0.25624993556069736
mbl   extractionPatterns(emotion, emotions including _
0.2762431010601326)    0.2762431010601326
mbl   extractionPatterns(emotion, emotions , like _ 0.26519337556453526)
      0.26519337556453526
mbl   extractionPatterns(emotion, emotions ranging from _
0.21818171682427168)   0.21818171682427168
mbl   extractionPatterns(emotion, emotion such as _ 0.29281771402666673)
      0.29281771402666673
mbl   extractionPatterns(emotion, exclamations of _ 0.2391713591666392)
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mbl   extractionPatterns(emotion, expression of _ 1.5363769273022065)
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mbl   extractionPatterns(kitchenItem, ladle into _ 0.2972971902244623)
      0.2972971902244623
mbl   extractionPatterns(kitchenItem, makers , hot _ 0.2631579122979848)
      0.2631579122979848
mbl   extractionPatterns(kitchenItem, meals in large _
0.2666666239952886)     0.2666666239952886
mbl   extractionPatterns(kitchenItem, mixture onto prepared _
0.19999998248682085)    0.19999998248682085
mbl   extractionPatterns(kitchenItem, mugs , plastic _ 0.449999863298018)
      0.449999863298018
mbl   extractionPatterns(kitchenItem, napkins , plastic _
0.19999998248682085)    0.19999998248682085
mbl   extractionPatterns(kitchenItem, non-stick coating for _
0.2631579122979848)     0.2631579122979848
mbl   extractionPatterns(kitchenItem, open shelving for _
0.19999998248682085)    0.19999998248682085
mbl   extractionPatterns(kitchenItem, paint on ceramic _
0.29999994129778657)   0.29999994129778657
mbl   extractionPatterns(kitchenItem, parchment paper-lined _
0.32000009062028956)   0.32000009062028956
mbl   extractionPatterns(kitchenItem, place on greased _
0.24074066589511517)   0.24074066589511517
mbl   extractionPatterns(kitchenItem, place on prepared _
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mbl   extractionPatterns(kitchenItem, place on ungreased _
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mbl   extractionPatterns(kitchenItem, plates , salad _
0.6999999607571137)    0.6999999607571137
mbl   extractionPatterns(kitchenItem, plates , small _
0.23529411363207658)   0.23529411363207658
mbl   extractionPatterns(kitchenItem, plates with plastic _
0.250000090279989)     0.250000090279989
mbl   extractionPatterns(kitchenItem, pots , cooking _
0.19999998248682085)   0.19999998248682085
mbl   extractionPatterns(kitchenItem, pots , plastic _
0.3500000435745399)    0.3500000435745399
mbl   extractionPatterns(kitchenItem, pots , small _ 0.29999994129778657)
      0.29999994129778657
mbl   extractionPatterns(kitchenItem, pottery such as _
0.24242424722100475)   0.24242424722100475
mbl   extractionPatterns(kitchenItem, rice in large _
0.23529411363207658)   0.23529411363207658
mbl   extractionPatterns(kitchenItem, sauce among _ 0.2666666239952886)
      0.2666666239952886
mbl   extractionPatterns(kitchenItem, shells were used as _
0.16666674487136082)   0.16666674487136082
mbl   extractionPatterns(kitchenItem, single layers on _
0.2666666239952886)    0.2666666239952886
mbl   extractionPatterns(kitchenItem, soup into _ 0.21726618895141014)
      0.21726618895141014
mbl   extractionPatterns(kitchenItem, soup into individual _
0.5999997742596369)    0.5999997742596369
mbl   extractionPatterns(kitchenItem, spatula footed _
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mbl   extractionPatterns(kitchenItem, spoonfuls onto greased _
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mbl   extractionPatterns(kitchenItem, spoonfuls onto ungreased _
0.29999994129778657)   0.29999994129778657
mbl   extractionPatterns(kitchenItem, stacks of dirty _
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mbl   extractionPatterns(kitchenItem, stainless steel cooking _
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mbl   extractionPatterns(kitchenItem, teaspoon onto greased _
0.16666674487136082)   0.16666674487136082
mbl   extractionPatterns(kitchenItem, teaspoon onto ungreased _
0.3999998927496764)    0.3999998927496764
mbl   extractionPatterns(kitchenItem, trays , plastic _
0.29999994129778657)   0.29999994129778657
mbl   extractionPatterns(kitchenItem, utensils such as _
0.2903224723980957)    0.2903224723980957
mbl   extractionPatterns(kitchenItem, vases , decorative _
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mbl   extractionPatterns(mammal, antelope , black _ 0.7407404388521638)
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mbl   extractionPatterns(mammal, _ are herd animals 0.2477876870711607)
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mbl   extractionPatterns(mammal, _ are induced ovulators
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mbl   extractionPatterns(mammal, _ are intelligent animals
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mbl   extractionPatterns(mammal, _ are mammals 0.24418601196665102)
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mbl   extractionPatterns(mammal, _ are prey animals 0.24545466812983385)
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mbl   extractionPatterns(mammal, _ are the only mammals
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mbl   extractionPatterns(mammal, baby polar _ 0.821428813130723)
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mbl   extractionPatterns(mammal, bear , black _ 0.884615669543263)
      0.884615669543263
mbl   extractionPatterns(mammal, bear , brown _ 0.6400000656821918)
      0.6400000656821918
mbl   extractionPatterns(mammal, bear , grizzly _ 0.8888889205834525)
      0.8888889205834525
mbl   extractionPatterns(mammal, breeds of domestic _ 0.3103449059949165)
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mbl   extractionPatterns(mammal, caribou , black _ 0.7878788063506048)
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mbl   extractionPatterns(mammal, conservation of large _
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mbl   extractionPatterns(mammal, deer , black _ 0.888111482956506)
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mbl   extractionPatterns(mammal, different breeds of _
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mbl   extractionPatterns(mammal, eagles , black _ 0.7317070866162454)
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mbl   extractionPatterns(mammal, favorite animals are _
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mbl   extractionPatterns(mammal, goats , black _ 0.6666667387387801)
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mbl   extractionPatterns(mammal, habitat for black _ 0.7352938968735336)
      0.7352938968735336
mbl   extractionPatterns(mammal, herd of wild _ 0.40303011209021705)
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mbl   extractionPatterns(mammal, herds of wild _ 0.3667818580070845)
      0.3667818580070845
mbl   extractionPatterns(mammal, _ immunized with 0.34156372983600414)
      0.34156372983600414
mbl   extractionPatterns(mammal, importation of live _
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mbl   extractionPatterns(mammal, large animals such as _
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mbl   extractionPatterns(mammal, lion , black _ 0.6538462806696093)
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mbl   extractionPatterns(mammal, many animals including _
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mbl   extractionPatterns(mammal, _ needing homes 0.2918033974160871)
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mbl   extractionPatterns(mammal, other animals including _
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mbl   extractionPatterns(mammal, other animals , like _
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mbl   extractionPatterns(mammal, other animals such as _
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mbl   extractionPatterns(mammal, other animals , such as _
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mbl   extractionPatterns(mammal, other breeds of _ 0.4638008599605326)
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mbl   extractionPatterns(mammal, people , other _ 0.20087328351528475)
      0.20087328351528475
mbl   extractionPatterns(mammal, pets , including _ 0.1877828569351458)
      0.1877828569351458
mbl   extractionPatterns(mammal, pets including _ 0.28699542618130813)
      0.28699542618130813
mbl   extractionPatterns(mammal, pets like _ 0.21493212465006775)
      0.21493212465006775
mbl   extractionPatterns(mammal, pets such as _ 0.37104089252848615)
      0.37104089252848615
mbl   extractionPatterns(mammal, pets , such as _ 0.4324325147694968)
      0.4324325147694968
mbl   extractionPatterns(mammal, sheep , black _ 0.8222218745259742)
      0.8222218745259742
mbl   extractionPatterns(mammal, sightings of black _ 0.6400000656821918)
      0.6400000656821918
mbl   extractionPatterns(mammal, small animals like _
0.33566420789440743)   0.33566420789440743
mbl   extractionPatterns(mammal, small animals , such as _
0.25688082951846103)   0.25688082951846103
mbl   extractionPatterns(mammal, small animals such as _
0.321266911935874)     0.321266911935874
mbl   extractionPatterns(mammal, smaller breeds of _ 0.47727282091118195)
      0.47727282091118195
mbl   extractionPatterns(mammal, small game such as _
0.38636374835580634)   0.38636374835580634
mbl   extractionPatterns(mammal, trophy black _ 0.6800003269522281)
      0.6800003269522281
mbl   extractionPatterns(mammal, viral disease of _ 0.23913046436082722)
      0.23913046436082722
mbl   extractionPatterns(mammal, walrus , polar _ 0.7037036240711113)
      0.7037036240711113
mbl   extractionPatterns(mammal, _ were immunized with
0.40476201575862447)   0.40476201575862447
mbl   extractionPatterns(movie, Australia filming _ 0.2631579122979848)
      0.2631579122979848
mbl   extractionPatterns(movie, Blair Witch Project meets _
0.42105281578387377)   0.42105281578387377
mbl   extractionPatterns(movie, blockbusters like _ 0.05405403957212513)
      0.05405403957212513
mbl   extractionPatterns(movie, blockbusters such as _
0.0869565248147135)    0.0869565248147135
mbl   extractionPatterns(movie, book characters like _
0.2105262353782364)    0.2105262353782364
mbl   extractionPatterns(movie, Christmas production of _
0.1578946879734282)    0.1578946879734282
mbl   extractionPatterns(movie, classic films such as _
0.32000009062028956)   0.32000009062028956
mbl   extractionPatterns(movie, classic scene from _ 0.2592591858756811)
      0.2592591858756811
mbl   extractionPatterns(movie, comic book adventures of _
0.19999998248682085)   0.19999998248682085
mbl   extractionPatterns(movie, community production of _
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mbl   extractionPatterns(movie, Dead meets _ 0.20833331623205179)
      0.20833331623205179
mbl   extractionPatterns(movie, Disney movie is _ 0.2105262353782364)
      0.2105262353782364
mbl   extractionPatterns(movie, Edition re-release of _
0.1578946879734282)    0.1578946879734282
mbl   extractionPatterns(movie, extinct following _ 0.2105262353782364)
      0.2105262353782364
mbl   extractionPatterns(movie, fairy tales , including _
0.2105262353782364)    0.2105262353782364
mbl   extractionPatterns(movie, favorite fairy tale is _
0.2631579122979848)    0.2631579122979848
mbl   extractionPatterns(movie, favorite movie is _ 0.13152399138668397)
      0.13152399138668397
mbl   extractionPatterns(movie, favorite movies are _
0.09016391386298388)   0.09016391386298388
mbl   extractionPatterns(movie, favorite movie was _ 0.15909098622821494)
      0.15909098622821494
mbl   extractionPatterns(movie, favorite superhero is _
0.3333334295560505)    0.3333334295560505
mbl   extractionPatterns(movie, favourite movie is _ 0.18032779516598796)
      0.18032779516598796
mbl   extractionPatterns(movie, film classic _ 0.2750000498617851)
      0.2750000498617851
mbl   extractionPatterns(movie, films , like _ 0.16803281353338187)
      0.16803281353338187
mbl   extractionPatterns(movie, high school production of _
0.20370365761898562)   0.20370365761898562
mbl   extractionPatterns(movie, iconic characters as _
0.47619064034735087)   0.47619064034735087
mbl   extractionPatterns(movie, issue is reprinted in _
0.22222231039474505)   0.22222231039474505
mbl   extractionPatterns(movie, little film called _ 0.06249998263998874)
      0.06249998263998874
mbl   extractionPatterns(movie, Marvel characters such as _
0.23809512506891317)   0.23809512506891317
mbl   extractionPatterns(movie, midnight showing of _
0.12307688962656467)   0.12307688962656467
mbl   extractionPatterns(movie, original theatrical release of _
0.24000008535365014)   0.24000008535365014
mbl   extractionPatterns(movie, Parker becomes _ 0.2631579122979848)
      0.2631579122979848
mbl   extractionPatterns(movie, Park meets _ 0.05000001367770143)
      0.05000001367770143
mbl   extractionPatterns(movie, persons avoid _ 0.2105262353782364)
      0.2105262353782364
mbl   extractionPatterns(movie, Play version of _ 0.31578931892794915)
      0.31578931892794915
mbl   extractionPatterns(movie, Production begins on _
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mbl   extractionPatterns(movie, _ requires no professional experience
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mbl   extractionPatterns(movie, Stan Lee created _ 0.2105262353782364)
      0.2105262353782364
mbl   extractionPatterns(movie, superheroes , including _
0.22499997227498802)   0.22499997227498802
mbl   extractionPatterns(movie, superheroes including _
0.3333334295560505)    0.3333334295560505
mbl   extractionPatterns(movie, super heroes like _ 0.2105262353782364)
      0.2105262353782364
mbl   extractionPatterns(movie, superheroes , like _ 0.2631579122979848)
      0.2631579122979848
mbl   extractionPatterns(movie, superheroes like _ 0.3442624418926158)
      0.3442624418926158
mbl   extractionPatterns(movie, superheroes such as _ 0.3250000314120314)
      0.3250000314120314
mbl   extractionPatterns(movie, superhero like _ 0.20689662636382428)
      0.20689662636382428
mbl   extractionPatterns(movie, superheros like _ 0.2631579122979848)
      0.2631579122979848
mbl   extractionPatterns(movie, tales such as _ 0.11538464415616194)
      0.11538464415616194
mbl   extractionPatterns(movie, team-up between _ 0.2857142767129624)
      0.2857142767129624
mbl   extractionPatterns(movie, theater production of _
0.1704544795527394)    0.1704544795527394
mbl   extractionPatterns(movie, theme music from _ 0.05645163641813445)
      0.05645163641813445
mbl   extractionPatterns(movie, third installments of _
0.16000007419974682)   0.16000007419974682
mbl   extractionPatterns(newspaperCompany, affairs columnist for _
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mbl   extractionPatterns(newspaperCompany, affairs editor of _
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mbl   extractionPatterns(newspaperCompany, architecture critic for _
0.5238096101988442)    0.5238096101988442
mbl   extractionPatterns(newspaperCompany, architecture critic of _
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mbl   extractionPatterns(newspaperCompany, article last week in _
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mbl   extractionPatterns(newspaperCompany, commentary has appeared in _
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mbl   extractionPatterns(newspaperCompany, copyboy at _
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mbl   extractionPatterns(newspaperCompany, deputy managing editor of _
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mbl   extractionPatterns(newspaperCompany, editorial page of _
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mbl   extractionPatterns(newspaperCompany, editorials have appeared in _
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mbl   extractionPatterns(newspaperCompany, editorial writers of _
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mbl   extractionPatterns(newspaperCompany, education writer for _
0.5000000902799808)    0.5000000902799808
mbl   extractionPatterns(newspaperCompany, former foreign correspondent
for _ 0.5172411873539653)    0.5172411873539653
mbl   extractionPatterns(newspaperCompany, former staff writer for _
0.5217389040736923)    0.5217389040736923
mbl   extractionPatterns(newspaperCompany, full-page advertisement in _
0.44318189279084536)   0.44318189279084536
mbl   extractionPatterns(newspaperCompany, _ has daily readership
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mbl   extractionPatterns(newspaperCompany, leader writer for _
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mbl   extractionPatterns(newspaperCompany, mainstream publications like _
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mbl   extractionPatterns(newspaperCompany, major newspapers including _
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mbl   extractionPatterns(newspaperCompany, Middle East editor for _
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mbl   extractionPatterns(newspaperCompany, music critic at _
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mbl   extractionPatterns(newspaperCompany, national newspapers including
_ 0.5277777562917705) 0.5277777562917705
mbl   extractionPatterns(newspaperCompany, national publications ,
including _ 0.32203404796692126) 0.32203404796692126
mbl   extractionPatterns(newspaperCompany, op-ed article for _
0.5000000902799808)    0.5000000902799808
mbl   extractionPatterns(newspaperCompany, op-ed column for _
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mbl   extractionPatterns(newspaperCompany, op-ed columnist for _
0.5000000902799808)    0.5000000902799808
mbl   extractionPatterns(newspaperCompany, op ed in _ 0.5000000902799808)
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mbl   extractionPatterns(newspaperCompany, Op-Ed page of _
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mbl   extractionPatterns(newspaperCompany, op-ed page of _
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mbl   extractionPatterns(newspaperCompany, op-ed pages of _
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mbl   extractionPatterns(newspaperCompany, op-ed piece for _
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mbl   extractionPatterns(newspaperCompany, op-ed piece in _
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mbl   extractionPatterns(newspaperCompany, Op-Ed piece in _
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mbl   extractionPatterns(newspaperCompany, op-ed published in _
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mbl   extractionPatterns(newspaperCompany, op-ed today in _
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mbl   extractionPatterns(newspaperCompany, opinion article in _
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mbl   extractionPatterns(newspaperCompany, opinion piece published in _
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mbl   extractionPatterns(newspaperCompany, Peer group comparison for _
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mbl   extractionPatterns(newspaperCompany, pieces have appeared in _
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mbl   extractionPatterns(newspaperCompany, _ ran an article today
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mbl   extractionPatterns(newspaperCompany, rate published in _
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mbl   extractionPatterns(newspaperCompany, Read article in _
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mbl   extractionPatterns(newspaperCompany, recent opinion piece in _
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mbl   extractionPatterns(newspaperCompany, religion writer for _
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mbl   extractionPatterns(newspaperCompany, restaurant critic of _
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mbl   extractionPatterns(newspaperCompany, science reporter for _
0.4142858849975161)    0.4142858849975161
mbl   extractionPatterns(newspaperCompany, several newspapers including _
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mbl   extractionPatterns(newspaperCompany, technology columnist for _
0.532467721573078)     0.532467721573078
mbl   extractionPatterns(newspaperCompany, technology reporter for _
0.5000000902799808)    0.5000000902799808
mbl   extractionPatterns(newspaperCompany, Washington bureau chief of _
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mbl   extractionPatterns(politician, _ becomes the Democratic nominee
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mbl   extractionPatterns(politician, better president than _
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mbl   extractionPatterns(politician, candidate except _
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mbl   extractionPatterns(politician, Clinton defeated _
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mbl   extractionPatterns(politician, _ criticized Democrats
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mbl   extractionPatterns(politician, delegates than _ 0.3387533559411349)
      0.3387533559411349
mbl   extractionPatterns(politician, Democratic debate between _
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mbl   extractionPatterns(politician, Democratic leaders like _
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mbl   extractionPatterns(politician, Democratic race between _
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mbl   extractionPatterns(politician, D-point lead over _
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mbl   extractionPatterns(politician, Edwards endorses _
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mbl   extractionPatterns(politician, _ forged close ties
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mbl   extractionPatterns(politician, _ gets the Democratic nomination
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mbl   extractionPatterns(politician, _ greets supporters
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mbl   extractionPatterns(politician, House hopefuls _
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mbl   extractionPatterns(politician, _ is that candidate
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mbl   extractionPatterns(politician, _ is that leader 0.250000090279989)
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mbl   extractionPatterns(politician, _ is the better candidate
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mbl   extractionPatterns(politician, _ is the Democratic candidate
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mbl   extractionPatterns(politician, _ is the Democratic nominee
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mbl   extractionPatterns(politician, _ is the only candidate
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mbl   extractionPatterns(politician, _ is the ONLY candidate
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mbl   extractionPatterns(politician, possible running mate for _
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mbl   extractionPatterns(politician, presidents named _
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mbl   extractionPatterns(politician, Republican version of _
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mbl   extractionPatterns(politician, _ wins the Democratic nomination
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mbl   extractionPatterns(producesProduct, arg1 came out with arg2
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mbl   extractionPatterns(producesProduct, arg1 for its arg2
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mbl   extractionPatterns(producesProduct, arg1 for making arg2
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mbl   extractionPatterns(producesProduct, arg1 for use in arg2
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mbl   extractionPatterns(producesProduct, arg1 has created arg2
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mbl   extractionPatterns(producesProduct, arg1 introduced its arg2
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mbl   extractionPatterns(producesProduct, arg1 launched its arg2
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mbl   extractionPatterns(producesProduct, arg1 launched their arg2
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mbl   extractionPatterns(producesProduct, arg1 launches the arg2
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mbl   extractionPatterns(producesProduct, arg1 logo and arg2
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mbl   extractionPatterns(producesProduct, arg1 opens up arg2
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mbl   extractionPatterns(producesProduct, arg1 produced arg2
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mbl   extractionPatterns(producesProduct, arg1 produces arg2
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mbl   extractionPatterns(producesProduct, arg1 products like arg2
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mbl   extractionPatterns(producesProduct, arg1 promoted arg2
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mbl   extractionPatterns(producesProduct, arg1 sold arg2
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mbl   extractionPatterns(producesProduct, arg1 unveils arg2
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mbl   extractionPatterns(producesProduct, arg1 with their arg2
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mbl   extractionPatterns(producesProduct, arg2 is a registered trademark
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mbl   extractionPatterns(producesProduct, arg2 maker arg1
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mbl   extractionPatterns(producesProduct, arg2 manufacturer arg1
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mbl   extractionPatterns(producesProduct, arg2 video game console from
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mbl   extractionPatterns(producesProduct, arg2 video game system from
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mbl   extractionPatterns(productInstanceOf, arg1 brand arg2
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mbl   extractionPatterns(productInstanceOf, arg2 packages such as arg1
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mbl   extractionPatterns(productInstanceOf, arg2 program arg1
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mbl   extractionPatterns(productInstanceOf, arg2 programs like arg1
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mbl   extractionPatterns(productInstanceOf, arg2 programs such as arg1
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mbl   extractionPatterns(productInstanceOf, arg2 similar to arg1
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mbl   extractionPatterns(productInstanceOf, arg2 that competes with arg1
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mbl   extractionPatterns(product, _ is the Shareware version
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mbl   extractionPatterns(product, items for _ 0.17233224645486728)
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mbl   extractionPatterns(product, new computer with _
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mbl   extractionPatterns(product, platforms , including _
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mbl   extractionPatterns(product, social networks such as _
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mbl   extractionPatterns(professionalOrganization, _ sanctioned contests
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mbl   extractionPatterns(professionalOrganization, Science , published by
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mbl   extractionPatterns(professionalOrganization, senior member of _
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mbl   extractionPatterns(professionalOrganization, Southeastern Section
of _ 0.2666666239952886)     0.2666666239952886
mbl   extractionPatterns(professionalOrganization, special interest group
of _ 0.13043477312100557)    0.13043477312100557
mbl   extractionPatterns(professionalOrganization, student branch of _
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mbl   extractionPatterns(professionalOrganization, student member of _
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mbl   extractionPatterns(professionalOrganization, style files developed
by _ 0.3333334295560505)     0.3333334295560505
mbl   extractionPatterns(professionalOrganization, Surgical Section of _
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mbl   extractionPatterns(professionalOrganization, Tech chapter of _
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mbl   extractionPatterns(professionalOrganization, Tennessee Section of _
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mbl   extractionPatterns(professionalOrganization, Texas Section of _
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mbl   extractionPatterns(professionalOrganization, University student
chapter of _ 0.08888890032448334) 0.08888890032448334
mbl   extractionPatterns(professionalOrganization, University Student
Chapter of _ 0.11764707805838637) 0.11764707805838637
mbl   extractionPatterns(professionalOrganization, Virginia Section of _
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mbl   extractionPatterns(profession, _ are finding evidence
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mbl   extractionPatterns(profession, development opportunities for _
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mbl   extractionPatterns(profession, diverse team of _
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mbl   extractionPatterns(profession, expert team of _
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mbl   extractionPatterns(profession, free resources for _
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mbl   extractionPatterns(profession, group of senior _
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mbl   extractionPatterns(profession, _ have discovered evidence
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mbl   extractionPatterns(profession, _ have found fossils
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mbl   extractionPatterns(profession, _ have found the remains
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mbl   extractionPatterns(profession, in-house team of _
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mbl   extractionPatterns(profession, interdisciplinary team of _
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mbl   extractionPatterns(profession, international group of _
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mbl   extractionPatterns(profession, international team of _
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mbl   extractionPatterns(profession, interviews with professional _
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mbl   extractionPatterns(profession, job shadowing with _
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mbl   extractionPatterns(profession, large team of _ 0.16891899474594851)
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mbl   extractionPatterns(profession, nationwide shortage of _
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mbl   extractionPatterns(profession, personnel such as _
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mbl   extractionPatterns(profession, professional development for _
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mbl   extractionPatterns(profession, professional development of _
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mbl   extractionPatterns(profession, professionals including _
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mbl   extractionPatterns(profession, professionals , including _
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mbl   extractionPatterns(profession, professionals , such as _
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mbl   extractionPatterns(profession, professionals such as _
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mbl   extractionPatterns(profession, Professionals such as _
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mbl   extractionPatterns(profession, professional team of _
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mbl   extractionPatterns(profession, qualified team of _
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mbl   extractionPatterns(profession, referrals from other _
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mbl   extractionPatterns(profession, _ remember brokers
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mbl   extractionPatterns(profession, _ say the discovery
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mbl   extractionPatterns(profession, shortage of qualified _
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mbl   extractionPatterns(profession, shortage of trained _
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mbl   extractionPatterns(profession, staff of professional _
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mbl   extractionPatterns(profession, staff of qualified _
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mbl   extractionPatterns(profession, supervision of licensed _
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mbl   extractionPatterns(profession, talented team of _
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mbl   extractionPatterns(profession, team of expert _
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mbl   extractionPatterns(profession, team of independent _
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mbl   extractionPatterns(profession, team of professional _
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mbl   extractionPatterns(profession, team of qualified _
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mbl   extractionPatterns(profession, team of senior _
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mbl   extractionPatterns(profession, team of specialist _
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mbl   extractionPatterns(profession, team of talented _
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mbl   extractionPatterns(profession, workers such as _
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mbl   extractionPatterns(reptile, birds , giant _ 0.3500000435745399)
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mbl   extractionPatterns(reptile, birds , rare _ 0.23529411363207658)
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mbl   extractionPatterns(reptile, Captive bred _ 0.2777777348505767)
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mbl   extractionPatterns(reptile, captive propagation of _
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mbl   extractionPatterns(reptile, Custom illustrations of specific _
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mbl   extractionPatterns(reptile, desert horned _ 0.250000090279989)
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mbl   extractionPatterns(reptile, exhibit of live _ 0.23529411363207658)
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mbl   extractionPatterns(reptile, family of venomous _
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mbl   extractionPatterns(reptile, _ have a higher fraction
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mbl   extractionPatterns(reptile, huge coils of _ 0.23529411363207658)
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mbl   extractionPatterns(reptile, iguanas , giant _ 0.3333334295560505)
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mbl   extractionPatterns(reptile, lizards , including _
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mbl   extractionPatterns(reptile, lizards look like _
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mbl   extractionPatterns(reptile, lizards , small _ 0.23076924664463755)
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mbl   extractionPatterns(reptile, lizards , such as _ 0.250000090279989)
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mbl   extractionPatterns(reptile, look at live _ 0.23809512506891317)
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mbl   extractionPatterns(reptile, Mexican beaded _ 0.9090910725494009)
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mbl   extractionPatterns(reptile, nesting beaches for _
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mbl   extractionPatterns(reptile, number of poisonous _
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mbl   extractionPatterns(reptile, other snakes , including _
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mbl   extractionPatterns(reptile, population of green _
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mbl   extractionPatterns(reptile, red bellied black _ 0.7857143303561276)
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mbl   extractionPatterns(reptile, reptile , including _
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mbl   extractionPatterns(reptile, reptiles besides _ 0.17647059800966608)
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mbl   extractionPatterns(reptile, reptiles except _ 0.3500000435745399)
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mbl   extractionPatterns(reptile, reptiles including _
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mbl   extractionPatterns(reptile, Reptiles , including _
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mbl   extractionPatterns(reptile, reptiles , like _ 0.36000008911152426)
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mbl   extractionPatterns(reptile, river infested with _
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mbl   extractionPatterns(reptile, rough scaled _ 0.5000000902799808)
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mbl   extractionPatterns(reptile, salamanders , small _
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mbl   extractionPatterns(reptile, sea lions , giant _ 0.294117774006532)
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mbl   extractionPatterns(reptile, snakes called _ 0.294117774006532)
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mbl   extractionPatterns(reptile, snakes including _ 0.1555556085556767)
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mbl   extractionPatterns(reptile, snakes , poisonous _
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mbl   extractionPatterns(reptile, snakes , such as _ 0.18965512267636062)
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mbl   extractionPatterns(reptile, species of horned _ 0.6428569836079735)
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mbl   extractionPatterns(reptile, species of poisonous _
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mbl   extractionPatterns(reptile, species of venomous _
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mbl   extractionPatterns(reptile, spiders , small _ 0.20689662636382428)
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mbl   extractionPatterns(reptile, swamp filled with _ 0.3333334295560505)
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mbl   extractionPatterns(reptile, swamp full of _ 0.16000007419974682)
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mbl   extractionPatterns(reptile, Texas horned _ 0.8437500310461172)
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mbl   extractionPatterns(reptile, turtles , green _ 0.294117774006532)
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mbl   extractionPatterns(reptile, turtles , small _ 0.23529411363207658)
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mbl   extractionPatterns(reptile, type of venomous _ 0.42857136873737717)
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mbl   extractionPatterns(reptile, venomous species of _
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mbl   extractionPatterns(reptile, yellow spotted _ 0.3448274955146424)
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mbl   extractionPatterns(room, _ are all en-suite 0.38297866358830446)
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mbl   extractionPatterns(room, areas , expansive _ 0.3333334295560505)
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mbl   extractionPatterns(room, areas , separate _ 0.2173913703250207)
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mbl   extractionPatterns(room, _ are fitted out 0.16666674487136082)
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mbl   extractionPatterns(room, baths , spacious _ 0.250000090279989)
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mbl   extractionPatterns(room, bedrooms , full _ 0.357143006136159)
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mbl   extractionPatterns(room, bedrooms have private _
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mbl   extractionPatterns(room, bedrooms have separate _
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mbl   extractionPatterns(room, bedrooms , in _ 0.19444440349460365)
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mbl   extractionPatterns(room, bedrooms , spacious _ 0.250000090279989)
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mbl   extractionPatterns(room, cabins have full _ 0.5142858704194089)
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mbl   extractionPatterns(room, cabins have small _ 0.16666674487136082)
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mbl   extractionPatterns(room, cabins with private _ 0.19607834112360512)
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mbl   extractionPatterns(room, cars as mobile _ 0.16666674487136082)
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mbl   extractionPatterns(room, closets , spacious _ 0.42857136873737717)
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mbl   extractionPatterns(room, common areas like _ 0.20588243026254208)
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mbl   extractionPatterns(room, common areas , such as _
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mbl   extractionPatterns(room, Common areas such as _ 0.250000090279989)
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mbl   extractionPatterns(room, condos with full _ 0.39285723611233847)
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mbl   extractionPatterns(room, doorways , in _ 0.19047620506734006)
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mbl   extractionPatterns(room, exhaust fans in _ 0.17857135673949723)
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mbl   extractionPatterns(room, facilities including private _
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mbl   extractionPatterns(room, floors , spacious _ 0.16000007419974682)
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mbl   extractionPatterns(room, high traffic areas such as _
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mbl   extractionPatterns(room, hospitals , corporate _ 0.250000090279989)
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mbl   extractionPatterns(room, humid environments such as _
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mbl   extractionPatterns(room, humidity areas such as _
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mbl   extractionPatterns(room, humidity , such as _ 0.20689662636382428)
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mbl   extractionPatterns(room, humidity such as _ 0.25714298163942295)
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mbl   extractionPatterns(room, _ including a master suite
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mbl   extractionPatterns(room, kitchens , separate _ 0.25454541779347484)
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mbl   extractionPatterns(room, _ link site 0.22794110381455626)
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mbl   extractionPatterns(room, living areas , large _ 0.3333334295560505)
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mbl   extractionPatterns(room, quality fitted _ 0.29999994129778657)
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mbl   extractionPatterns(room, rooms , private _ 0.14932128788096072)
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mbl   extractionPatterns(room, rooms with full _ 0.17829460723991025)
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mbl   extractionPatterns(room, services through local _
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mbl   extractionPatterns(room, suites have separate _
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mbl   extractionPatterns(room, suites with separate _
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mbl   extractionPatterns(room, traffic areas like _ 0.20930222895853595)
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mbl   extractionPatterns(room, units have full _ 0.4843749413298519)
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mbl   extractionPatterns(room, units with full _ 0.5777777498993292)
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mbl   extractionPatterns(room, views , separate _ 0.2592591858756811)
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mbl   extractionPatterns(room, wet areas such as _ 0.16666674487136082)
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mbl   extractionPatterns(scientist, atheists like _ 0.10071938452674219)
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mbl   extractionPatterns(scientist, biography emphasizes _
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mbl   extractionPatterns(scientist, blackboards of _ 0.10000000929940499)
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mbl   extractionPatterns(scientist, _ built a telescope
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mbl   extractionPatterns(scientist, Church persecuted _
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mbl   extractionPatterns(scientist, co-discoverer , with _
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mbl   extractionPatterns(scientist, controversial book by _
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mbl   extractionPatterns(scientist, _ develops a vaccine
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mbl   extractionPatterns(scientist, _ discovered gravity
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mbl   extractionPatterns(scientist, _ discovered sunspots
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mbl   extractionPatterns(scientist, _ discovered the moons
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mbl   extractionPatterns(scientist, double helix by _ 0.2121212996023868)
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mbl   extractionPatterns(scientist, eminent scientists as _
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mbl   extractionPatterns(scientist, engineers including _
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mbl   extractionPatterns(scientist, evolutionary theories of _
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mbl   extractionPatterns(scientist, evolutionary theorists such as _
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mbl   extractionPatterns(scientist, evolutionists such as _
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mbl   extractionPatterns(scientist, famous trial of _
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mbl   extractionPatterns(scientist, first postulated by _
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mbl   extractionPatterns(scientist, _ flew the first airplane
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mbl   extractionPatterns(scientist, great thinkers as _
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mbl   extractionPatterns(scientist, ideas propounded by _
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mbl   extractionPatterns(scientist, _ invented the telescope
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mbl   extractionPatterns(scientist, many physicists , including _
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mbl   extractionPatterns(scientist, materialists like _
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mbl   extractionPatterns(scientist, naturalists such as _
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mbl   extractionPatterns(scientist, natural philosophy of _
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mbl   extractionPatterns(scientist, notable personalities such as _
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mbl   extractionPatterns(scientist, Opere di _ 0.3333334295560505)
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mbl   extractionPatterns(scientist, other information sources about _
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mbl   extractionPatterns(scientist, physicists including _
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mbl   extractionPatterns(scientist, physicists like _
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mbl   extractionPatterns(scientist, physicists such as _
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mbl   extractionPatterns(scientist, physicists , such as _
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mbl   extractionPatterns(scientist, physicist such as _
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mbl   extractionPatterns(scientist, _ postulated the theory
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mbl   extractionPatterns(scientist, _ publishes theory
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mbl   extractionPatterns(scientist, quantum theory developed by _
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mbl   extractionPatterns(scientist, scientist since _
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mbl   extractionPatterns(scientist, Scientists such as _
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mbl   extractionPatterns(scientist, Sex , by _ 0.1851851765870796)
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mbl   extractionPatterns(scientist, _ takes a high position
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mbl   extractionPatterns(scientist, _ theorized that light
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mbl   extractionPatterns(scientist, Thinkers include _
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mbl   extractionPatterns(scientist, thought experiment by _
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mbl   extractionPatterns(scientist, unit is named after _
0.16216223406750285)    0.16216223406750285
mbl   extractionPatterns(scientist, unit is named for _
0.08333330414900512)    0.08333330414900512
mbl   extractionPatterns(scientist, _ used a telescope
0.11111106414847875)    0.11111106414847875
mbl   extractionPatterns(scientist, _ was an American physicist
0.14285716415076063)    0.14285716415076063
mbl   extractionPatterns(scientist, _ was an Italian physicist
0.17647059800966608)    0.17647059800966608
mbl   extractionPatterns(shape, bread , cut into _ 0.23076924664463755)
      0.23076924664463755
mbl   extractionPatterns(shape, bread cut into _ 0.30769230656666036)
      0.30769230656666036
mbl   extractionPatterns(shape, bread cut into small _ 0.250000090279989)
      0.250000090279989
mbl   extractionPatterns(shape, bread into small _ 0.3061224786760473)
      0.3061224786760473
mbl   extractionPatterns(shape, bread into tiny _ 0.23076924664463755)
      0.23076924664463755
mbl   extractionPatterns(shape, cake into D-inch _ 0.2777777348505767)
      0.2777777348505767
mbl   extractionPatterns(shape, cheese into D-inch _ 0.250000090279989)
      0.250000090279989
mbl   extractionPatterns(shape, cheese into small _ 0.31914906402380705)
      0.31914906402380705
mbl   extractionPatterns(shape, circle of infinite _ 0.4117647861768502)
      0.4117647861768502
mbl   extractionPatterns(shape, _ circumscribed about
0.21874994613159704)    0.21874994613159704
mbl   extractionPatterns(shape, close-packing of _ 0.5789471984236444)
      0.5789471984236444
mbl   extractionPatterns(shape, cold , cut in _ 0.16666674487136082)
      0.16666674487136082
mbl   extractionPatterns(shape, cool , cut into _ 0.40476201575862447)
      0.40476201575862447
mbl   extractionPatterns(shape, Cut bread into _ 0.16666674487136082)
      0.16666674487136082
mbl   extractionPatterns(shape, dough into D-inch _ 0.20253167194475924)
      0.20253167194475924
mbl   extractionPatterns(shape, edge at right _ 0.47368440086698504)
      0.47368440086698504
mbl   extractionPatterns(shape, examples of magic _ 0.2777777348505767)
      0.2777777348505767
mbl   extractionPatterns(shape, Figurate numbers representing _
0.250000090279989)      0.250000090279989
mbl   extractionPatterns(shape, geometric figures such as _
0.42857136873737717)    0.42857136873737717
mbl   extractionPatterns(shape, geometric objects such as _
0.20930222895853595)    0.20930222895853595
mbl   extractionPatterns(shape, geometric patterns such as _
0.250000090279989)      0.250000090279989
mbl   extractionPatterns(shape, grid of small _ 0.19565213852991367)
      0.19565213852991367
mbl   extractionPatterns(shape, ham into small _ 0.250000090279989)
      0.250000090279989
mbl   extractionPatterns(shape, _ headed bolt 0.23076924664463755)
      0.23076924664463755
mbl   extractionPatterns(shape, history of magic _ 0.36842099004094686)
      0.36842099004094686
mbl   extractionPatterns(shape, issue from different _
0.3235294932351779)     0.3235294932351779
mbl   extractionPatterns(shape, mozzarella into small _
0.250000090279989)      0.250000090279989
mbl   extractionPatterns(shape, number of shaded _ 0.250000090279989)
      0.250000090279989
mbl   extractionPatterns(shape, oven , cut into _ 0.250000090279989)
      0.250000090279989
mbl   extractionPatterns(shape, pan , cut into _ 0.294117774006532)
      0.294117774006532
mbl   extractionPatterns(shape, pita bread into _ 0.22222231039474505)
      0.22222231039474505
mbl   extractionPatterns(shape, polygon into _ 0.18681321716297805)
      0.18681321716297805
mbl   extractionPatterns(shape, polygons such as _ 0.31578931892794915)
      0.31578931892794915
mbl   extractionPatterns(shape, pork into small _ 0.22222231039474505)
      0.22222231039474505
mbl   extractionPatterns(shape, potatoes into small _
0.30555545339543744)    0.30555545339543744
mbl   extractionPatterns(shape, pound cake into _ 0.31249994056428093)
      0.31249994056428093
mbl   extractionPatterns(shape, problem from different _
0.35460988828015205)    0.35460988828015205
mbl   extractionPatterns(shape, quadrilaterals are _ 0.3181819150055155)
      0.3181819150055155
mbl   extractionPatterns(shape, _ represent females 0.16666674487136082)
      0.16666674487136082
mbl   extractionPatterns(shape, sandwich cut into _ 0.23529411363207658)
      0.23529411363207658
mbl   extractionPatterns(shape, _ shaped pick 0.23076924664463755)
      0.23076924664463755
mbl   extractionPatterns(shape, _ shaped UFOs 0.23076924664463755)
      0.23076924664463755
mbl   extractionPatterns(shape, shapes range from _ 0.2105262353782364)
      0.2105262353782364
mbl   extractionPatterns(shape, Side by _ 0.17480713474057463)
      0.17480713474057463
mbl   extractionPatterns(shape, side by _ 0.8074694963635584)
      0.8074694963635584
mbl   extractionPatterns(shape, slice into small _ 0.23529411363207658)
      0.23529411363207658
mbl   extractionPatterns(shape, stable homotopy groups of _
0.9565215120243028)     0.9565215120243028
mbl   extractionPatterns(shape, tilings by _ 0.23076924664463755)
      0.23076924664463755
mbl   extractionPatterns(shape, vertices of adjacent _
0.31249994056428093)    0.31249994056428093
mbl   extractionPatterns(shape, warm , cut into _ 0.47368440086698504)
      0.47368440086698504
mbl   extractionPatterns(sport, adventure activities such as _
0.3728813524075064)     0.3728813524075064
mbl   extractionPatterns(sport, _ are all popular activities
0.4696967524815602)     0.4696967524815602
mbl   extractionPatterns(sport, athlete , playing _ 0.4385966855115998)
      0.4385966855115998
mbl   extractionPatterns(sport, beach , playing _ 0.5079364183323539)
      0.5079364183323539
mbl   extractionPatterns(sport, biking , playing _ 0.3620688108497386)
      0.3620688108497386
mbl   extractionPatterns(sport, body for amateur _ 0.5471698570453564)
      0.5471698570453564
mbl   extractionPatterns(sport, business of professional _
0.3670886158472897)     0.3670886158472897
mbl   extractionPatterns(sport, calendar of _ 0.5242529406314037)
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mbl   extractionPatterns(sport, career in professional _
0.4133738043890235)     0.4133738043890235
mbl   extractionPatterns(sport, _ covered range 0.3663665294899968)
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mbl   extractionPatterns(sport, favorite sport is _ 0.541832698254262)
      0.541832698254262
mbl   extractionPatterns(sport, favorite sports are _ 0.723076683149612)
      0.723076683149612
mbl   extractionPatterns(sport, fishing , playing _ 0.4017858675769477)
      0.4017858675769477
mbl   extractionPatterns(sport, game of professional _
0.39622660363028406)    0.39622660363028406
mbl   extractionPatterns(sport, great game of _ 0.4246771694479103)
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mbl   extractionPatterns(sport, history of professional _
0.39682535774735583)    0.39682535774735583
mbl   extractionPatterns(sport, hobbies are playing _ 0.436708654820617)
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mbl   extractionPatterns(sport, interests include playing _
0.3559322055903089)     0.3559322055903089
mbl   extractionPatterns(sport, letterman in _ 0.5827814699710675)
      0.5827814699710675
mbl   extractionPatterns(sport, letterwinner in _ 0.520000243051522)
      0.520000243051522
mbl   extractionPatterns(sport, letter winner in _ 0.565656655821913)
      0.565656655821913
mbl   extractionPatterns(sport, many sports including _
0.34615383254489884)    0.34615383254489884
mbl   extractionPatterns(sport, occasional game of _ 0.3846155557798213)
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mbl   extractionPatterns(sport, outdoor activities , including _
0.4439026488223022)     0.4439026488223022
mbl   extractionPatterns(sport, outdoor activities including _
0.4608295703006369)     0.4608295703006369
mbl   extractionPatterns(sport, outdoor activities such as _
0.4748387529753118)     0.4748387529753118
mbl   extractionPatterns(sport, outdoor pursuits such as _
0.4626867591355684)     0.4626867591355684
mbl   extractionPatterns(sport, outdoor recreation , including _
0.49315043968392563)    0.49315043968392563
mbl   extractionPatterns(sport, pickup game of _ 0.6603772607961352)
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mbl   extractionPatterns(sport, recreational activities , such as _
0.3559322055903089)     0.3559322055903089
mbl   extractionPatterns(sport, recreational activities such as _
0.4407484387358726)     0.4407484387358726
mbl   extractionPatterns(sport, recreational opportunities , including _
0.43478266214570066)    0.43478266214570066
mbl   extractionPatterns(sport, recreational opportunities including _
0.4567902340129014)     0.4567902340129014
mbl   extractionPatterns(sport, recreation including _
0.39080443904953055)    0.39080443904953055
mbl   extractionPatterns(sport, recreation , such as _
0.3838382650051877)     0.3838382650051877
mbl   extractionPatterns(sport, recreation such as _ 0.4945055027867458)
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mbl   extractionPatterns(sport, retirement from professional _
0.5731705285493914)     0.5731705285493914
mbl   extractionPatterns(sportsEquipment, animation using _
0.034979433657105735) 0.034979433657105735
mbl   extractionPatterns(sportsEquipment, _ are played at
0.09335900021347153)    0.09335900021347153
mbl   extractionPatterns(sportsEquipment, _ are played on
0.07863385083960894)    0.07863385083960894
mbl   extractionPatterns(sportsEquipment, ball hits _
0.0038948387490114074) 0.0038948387490114074
mbl   extractionPatterns(sportsEquipment, _ blocking capabilities
0.024590157936028936) 0.024590157936028936
mbl   extractionPatterns(sportsEquipment, _ bounced into
0.05764412185989192)   0.05764412185989192
mbl   extractionPatterns(sportsEquipment, _ bouncing over
0.025000011352850984) 0.025000011352850984
mbl   extractionPatterns(sportsEquipment, boys kicking _
0.0312499969624916)    0.0312499969624916
mbl   extractionPatterns(sportsEquipment, _ calculates the size
0.04938270585444788)   0.04938270585444788
mbl   extractionPatterns(sportsEquipment, classpath in _
0.012096779727786012) 0.012096779727786012
mbl   extractionPatterns(sportsEquipment, collection of useful _
0.0983795816512476)    0.0983795816512476
mbl   extractionPatterns(sportsEquipment, _ enabled browsers
0.1900958234515026)    0.1900958234515026
mbl   extractionPatterns(sportsEquipment, _ has finished loading
0.3827160303185939)    0.3827160303185939
mbl   extractionPatterns(sportsEquipment, _ hit over 0.02511078107910347)
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mbl   extractionPatterns(sportsEquipment, _ hits the ball
0.015669517725786244) 0.015669517725786244
mbl   extractionPatterns(sportsEquipment, _ hitting the ball
0.013663530539477374) 0.013663530539477374
mbl   extractionPatterns(sportsEquipment, _ installed on
0.043803699574302246) 0.043803699574302246
mbl   extractionPatterns(sportsEquipment, _ is installed on
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mbl   extractionPatterns(sportsEquipment, _ is maintained by
0.1647030703328381)    0.1647030703328381
mbl   extractionPatterns(sportsEquipment, _ is run from
0.052375151926469216) 0.052375151926469216
mbl   extractionPatterns(sportsEquipment, kids kicking _
0.025000011352850984) 0.025000011352850984
mbl   extractionPatterns(sportsEquipment, list of useful _
0.08314609814003844)   0.08314609814003844
mbl   extractionPatterns(sportsEquipment, _ loaded in
0.31634496482025887)   0.31634496482025887
mbl   extractionPatterns(sportsEquipment, _ makes some assumptions
0.024590157936028936) 0.024590157936028936
mbl   extractionPatterns(sportsEquipment, page uses _
0.012459261961519308) 0.012459261961519308
mbl   extractionPatterns(sportsEquipment, _ Pay special attention
0.08235295002405955)   0.08235295002405955
mbl   extractionPatterns(sportsEquipment, _ Please enter the email
address 0.053380807912721276)      0.053380807912721276
mbl   extractionPatterns(sportsEquipment, _ prescribed on
0.016100177213541983) 0.016100177213541983
mbl   extractionPatterns(sportsEquipment, _ provides links
0.09151384561055091)   0.09151384561055091
mbl   extractionPatterns(sportsEquipment, _ reset for
0.016129038468470417) 0.016129038468470417
mbl   extractionPatterns(sportsEquipment, rest between _
0.15490194115070055)    0.15490194115070055
mbl   extractionPatterns(sportsEquipment, _ rolling in 0.082316228797791)
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mbl   extractionPatterns(sportsEquipment, tennis court with _
0.0312499969624916)     0.0312499969624916
mbl   extractionPatterns(sport, series of _ 161.71669370517833)
      161.71669370517833
mbl   extractionPatterns(sport, skiing , playing _ 0.5000000902799808)
      0.5000000902799808
mbl   extractionPatterns(sportsLeague, active streak in _
0.17647059800966608)    0.17647059800966608
mbl   extractionPatterns(sportsLeague, _ awarded a franchise
0.23076924664463755)    0.23076924664463755
mbl   extractionPatterns(sportsLeague, _ awarded a team
0.2727272683991621)     0.2727272683991621
mbl   extractionPatterns(sportsLeague, _ awarded the area
0.2727272683991621)     0.2727272683991621
mbl   extractionPatterns(sportsLeague, BC joined _ 0.12499994270999265)
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mbl   extractionPatterns(sportsLeague, _ betting scandal
0.144927595884536)      0.144927595884536
mbl   extractionPatterns(sportsLeague, _ betting stats
0.17647059800966608)    0.17647059800966608
mbl   extractionPatterns(sportsLeague, caddies on _ 0.16129036968565943)
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mbl   extractionPatterns(sportsLeague, Capitals joined _
0.14285716415076063)    0.14285716415076063
mbl   extractionPatterns(sportsLeague, championship series of _
0.2799999092276232)     0.2799999092276232
mbl   extractionPatterns(sportsLeague, championship trophy of _
0.250000090279989)      0.250000090279989
mbl   extractionPatterns(sportsLeague, complete players in _
0.23076924664463755)    0.23076924664463755
mbl   extractionPatterns(sportsLeague, _ comprises teams
0.250000090279989)      0.250000090279989
mbl   extractionPatterns(sportsLeague, cover athlete for _
0.22727262293734563)    0.22727262293734563
mbl   extractionPatterns(sportsLeague, current players in _
0.1578946879734282)     0.1578946879734282
mbl   extractionPatterns(sportsLeague, DD-D , D-D _ 0.14285716415076063)
      0.14285716415076063
mbl   extractionPatterns(sportsLeague, DD-time winner on _
0.2631579122979848)     0.2631579122979848
mbl   extractionPatterns(sportsLeague, developmental league for _
0.19607834112360512)    0.19607834112360512
mbl   extractionPatterns(sportsLeague, development league for _
0.416666557230806)      0.416666557230806
mbl   extractionPatterns(sportsLeague, elite team in _
0.18750008129470605)    0.18750008129470605
mbl   extractionPatterns(sportsLeague, exemption enjoyed by _
0.23076924664463755)    0.23076924664463755
mbl   extractionPatterns(sportsLeague, famous teams in _
0.23076924664463755)    0.23076924664463755
mbl   extractionPatterns(sportsLeague, favorite player in _
0.18309850358505103)   0.18309850358505103
mbl   extractionPatterns(sportsLeague, first black player in _
0.25999990847133453)   0.25999990847133453
mbl   extractionPatterns(sportsLeague, flagship franchise in _
0.21428572306010352)   0.21428572306010352
mbl   extractionPatterns(sportsLeague, game balls for _
0.14285716415076063)   0.14285716415076063
mbl   extractionPatterns(sportsLeague, hated player in _
0.32000009062028956)   0.32000009062028956
mbl   extractionPatterns(sportsLeague, impact player in _
0.18750008129470605)   0.18750008129470605
mbl   extractionPatterns(sportsLeague, _ imposed suspension
0.250000090279989)     0.250000090279989
mbl   extractionPatterns(sportsLeague, _ is the only league
0.16666674487136082)   0.16666674487136082
mbl   extractionPatterns(sportsLeague, licensed product of _
0.2592591858756811)    0.2592591858756811
mbl   extractionPatterns(sportsLeague, minor league for _
0.18750008129470605)   0.18750008129470605
mbl   extractionPatterns(sportsLeague, offensive guard in _
0.22727262293734563)   0.22727262293734563
mbl   extractionPatterns(sportsLeague, offensive linemen in _
0.16393438871791666)   0.16393438871791666
mbl   extractionPatterns(sportsLeague, Officially licensed by _
0.2831858168956085)    0.2831858168956085
mbl   extractionPatterns(sportsLeague, official statistician of _
0.18181819858880538)   0.18181819858880538
mbl   extractionPatterns(sportsLeague, Oilers joined _
0.2727272683991621)    0.2727272683991621
mbl   extractionPatterns(sportsLeague, Oilers of _ 0.30769230656666036)
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mbl   extractionPatterns(sportsLeague, original teams of _
0.21428572306010352)   0.21428572306010352
mbl   extractionPatterns(sportsLeague, outstanding teams of _
0.2857142767129624)    0.2857142767129624
mbl   extractionPatterns(sportsLeague, passers in _ 0.13793109915402665)
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mbl   extractionPatterns(sportsLeague, professional basketball player in
_ 0.2727272683991621) 0.2727272683991621
mbl   extractionPatterns(sportsLeague, professional debut in _
0.7992280137678779)    0.7992280137678779
mbl   extractionPatterns(sportsLeague, radio partner of _
0.21428572306010352)   0.21428572306010352
mbl   extractionPatterns(sportsLeague, _ realigned into
0.250000090279989)     0.250000090279989
mbl   extractionPatterns(sportsLeague, _ rushing title
0.3934426362591605)    0.3934426362591605
mbl   extractionPatterns(sportsLeague, scoring teams in _
0.13953483439054465)   0.13953483439054465
mbl   extractionPatterns(sportsLeague, second-best record in _
0.17647059800966608)   0.17647059800966608
mbl   extractionPatterns(sportsLeague, shooting team in _
0.16666674487136082)   0.16666674487136082
mbl   extractionPatterns(sportsLeague, surprising second-place finish in
_ 0.18750008129470605) 0.18750008129470605
mbl   extractionPatterns(sport, sport like _ 0.3595705055175666)
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mbl   extractionPatterns(sport, sport of professional _
0.4831461901534856)    0.4831461901534856
mbl   extractionPatterns(sport, sports activities such as _
0.44086040305817853)   0.44086040305817853
mbl   extractionPatterns(sport, sports except _ 0.4757280079207165)
      0.4757280079207165
mbl   extractionPatterns(sport, sports include _ 0.37301598687578497)
      0.37301598687578497
mbl   extractionPatterns(sport, sports , like _ 0.36144586486788)
      0.36144586486788
mbl   extractionPatterns(sport, sports other than _ 0.5221240895008389)
      0.5221240895008389
mbl   extractionPatterns(sport, sports ranging from _ 0.4268293475868291)
      0.4268293475868291
mbl   extractionPatterns(sport, sport such as _ 0.42585558182076233)
      0.42585558182076233
mbl   extractionPatterns(sportsTeam, agent contract with _
0.2260868639033752)    0.2260868639033752
mbl   extractionPatterns(sportsTeam, _ are a better team
0.1569506271254536)    0.1569506271254536
mbl   extractionPatterns(sportsTeam, _ are D-D ATS 0.4139785988880929)
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mbl   extractionPatterns(sportsTeam, _ are the better team
0.14285716415076063)   0.14285716415076063
mbl   extractionPatterns(sportsTeam, _ are the only team
0.165024554665341)     0.165024554665341
mbl   extractionPatterns(sportsTeam, baseman for _ 0.14828903063072058)
      0.14828903063072058
mbl   extractionPatterns(sportsTeam, bears , black _ 0.2743902269050282)
      0.2743902269050282
mbl   extractionPatterns(sportsTeam, _ beat writer 0.14835162180745617)
      0.14835162180745617
mbl   extractionPatterns(sportsTeam, career against _
0.19999998248682085)   0.19999998248682085
mbl   extractionPatterns(sportsTeam, championship game against _
0.16176477582582538)   0.16176477582582538
mbl   extractionPatterns(sportsTeam, Championship game against _
0.24347816790667245)   0.24347816790667245
mbl   extractionPatterns(sportsTeam, Chevrolet dealerships in _
0.29565205676003203)   0.29565205676003203
mbl   extractionPatterns(sportsTeam, draft choice of _
0.17816093641730463)   0.17816093641730463
mbl   extractionPatterns(sportsTeam, draft pick of _ 0.21264376036266686)
      0.21264376036266686
mbl   extractionPatterns(sportsTeam, entire state of _
0.3380974876789453)    0.3380974876789453
mbl   extractionPatterns(sportsTeam, equity loan in _
0.19318190905881497)   0.19318190905881497
mbl   extractionPatterns(sportsTeam, favorite team is _
0.14222229324868527)   0.14222229324868527
mbl   extractionPatterns(sportsTeam, finale against _ 0.3213115711403759)
      0.3213115711403759
mbl   extractionPatterns(sportsTeam, football game between _
0.19902914653153603)   0.19902914653153603
mbl   extractionPatterns(sportsTeam, free agent by _ 0.19875785583798125)
      0.19875785583798125
mbl   extractionPatterns(sportsTeam, free agent with _
0.17948726870567172)   0.17948726870567172
mbl   extractionPatterns(sportsTeam, Friday night against _
0.29885044938463134)   0.29885044938463134
mbl   extractionPatterns(sportsTeam, game versus _ 0.2377850891532126)
      0.2377850891532126
mbl   extractionPatterns(sportsTeam, governor of _ 0.3115544988119597)
      0.3115544988119597
mbl   extractionPatterns(sportsTeam, _ had a D-D lead
0.19421490020244575)   0.19421490020244575
mbl   extractionPatterns(sportsTeam, home game against _
0.22123893669118136)   0.22123893669118136
mbl   extractionPatterns(sportsTeam, home opener against _
0.250000090279989)     0.250000090279989
mbl   extractionPatterns(sportsTeam, home state of _ 0.36309237518406534)
      0.36309237518406534
mbl   extractionPatterns(sportsTeam, last night against _
0.23711334576503104)   0.23711334576503104
mbl   extractionPatterns(sportsTeam, _ leads the nation
0.19099252267504796)   0.19099252267504796
mbl   extractionPatterns(sportsTeam, league contract with _
0.24347816790667245)   0.24347816790667245
mbl   extractionPatterns(sportsTeam, linebacker for _
0.16326526635605232)   0.16326526635605232
mbl   extractionPatterns(sportsTeam, night game against _
0.2049689038266712)    0.2049689038266712
mbl   extractionPatterns(sportsTeam, pick by _ 0.15496360439344986)
      0.15496360439344986
mbl   extractionPatterns(sportsTeam, playoff game against _
0.17040352128199424)   0.17040352128199424
mbl   extractionPatterns(sportsTeam, playoffs against _
0.26815636959094125)   0.26815636959094125
mbl   extractionPatterns(sportsTeam, quarter against _
0.29629639239245803)   0.29629639239245803
mbl   extractionPatterns(sportsTeam, ranch in _ 0.19973635640953924)
      0.19973635640953924
mbl   extractionPatterns(sportsTeam, season opener against _
0.22895632823775997)   0.22895632823775997
mbl   extractionPatterns(sportsTeam, season series against _
0.21341471232755982)   0.21341471232755982
mbl   extractionPatterns(sportsTeam, season sweep of _
0.22222231039474505)   0.22222231039474505
mbl   extractionPatterns(sportsTeam, senator from _ 0.3307670261209385)
      0.3307670261209385
mbl   extractionPatterns(sportsTeam, three-game series with _
0.21951230254424084)   0.21951230254424084
mbl   extractionPatterns(sportsTeam, three-game sweep of _
0.2073170531041062)    0.2073170531041062
mbl   extractionPatterns(sportsTeam, tonight against _
0.2607594354358624)     0.2607594354358624
mbl   extractionPatterns(sportsTeam, _ took a DD-D lead
0.19523818583116195)    0.19523818583116195
mbl   extractionPatterns(sportsTeam, touchdown against _
0.27227709489745994)    0.27227709489745994
mbl   extractionPatterns(sportsTeam, Under is D-D in _
0.23318386883269965)    0.23318386883269965
mbl   extractionPatterns(sportsTeam, U.S. state of _ 0.5316648337124684)
      0.5316648337124684
mbl   extractionPatterns(sportsTeam, wealth of _ 0.2740545787258871)
      0.2740545787258871
mbl   extractionPatterns(sportUsesEquipment, arg1 and baseball arg2
7.262167746759474E-4) 7.262167746759474E-4
mbl   extractionPatterns(sportUsesEquipment, arg1 and golf arg2
3.0924645808468444E-4) 3.0924645808468444E-4
mbl   extractionPatterns(sportUsesEquipment, arg1 ball and arg2
0.002297970354969925) 0.002297970354969925
mbl   extractionPatterns(sportUsesEquipment, arg1 ball on a arg2
0.0106761606476766)     0.0106761606476766
mbl   extractionPatterns(sportUsesEquipment, arg1 ball with the arg2
0.011627910421552923) 0.011627910421552923
mbl   extractionPatterns(sportUsesEquipment, arg1 clubs and arg2
3.363040151829994E-4) 3.363040151829994E-4
mbl   extractionPatterns(sportUsesEquipment, arg1 equipment arg2
5.0684216878699507E-5) 5.0684216878699507E-5
mbl   extractionPatterns(sportUsesEquipment, arg1 is to get the arg2
2.7292568935427373E-4) 2.7292568935427373E-4
mbl   extractionPatterns(sportUsesEquipment, arg1 off a arg2
9.174734580535707E-5) 9.174734580535707E-5
mbl   extractionPatterns(sportUsesEquipment, arg1 or cricket arg2
0.027777776068225332) 0.027777776068225332
mbl   extractionPatterns(sportUsesEquipment, arg1 or tennis arg2
0.002223635077310866) 0.002223635077310866
mbl   extractionPatterns(sportUsesEquipment, arg1 training arg2
9.019018054131936E-5) 9.019018054131936E-5
mbl   extractionPatterns(sportUsesEquipment, arg1 using a arg2
1.5496583154268576E-5) 1.5496583154268576E-5
mbl   extractionPatterns(sportUsesEquipment, arg1 with a real arg2
2.7559587121903404E-4) 2.7559587121903404E-4
mbl   extractionPatterns(sportUsesEquipment, arg1 without a arg2
8.528107432555291E-5) 8.528107432555291E-5
mbl   extractionPatterns(sportUsesEquipment, arg2 and the game of arg1
0.001531980402266196) 0.001531980402266196
mbl   extractionPatterns(sportUsesEquipment, arg2 when playing arg1
0.0011476659588938044) 0.0011476659588938044
mbl   extractionPatterns(sport, various sports including _
0.5283020998972826)     0.5283020998972826
mbl   extractionPatterns(sport, varsity letters in _ 0.41509453064652946)
      0.41509453064652946
mbl   extractionPatterns(stadium, All-Star game at _ 0.250000090279989)
      0.250000090279989
mbl   extractionPatterns(stadium, baseball games at _ 0.3838382650051877)
      0.3838382650051877
mbl   extractionPatterns(stadium, Cubs play at _ 0.3846155557798213)
      0.3846155557798213
mbl   extractionPatterns(stadium, day game at _ 0.30769230656666036)
      0.30769230656666036
mbl   extractionPatterns(stadium, divisional playoff game at _
0.3846155557798213)    0.3846155557798213
mbl   extractionPatterns(stadium, Division battle at _
0.7500000543388377)    0.7500000543388377
mbl   extractionPatterns(stadium, Earth concert at _ 0.2857142767129624)
      0.2857142767129624
mbl   extractionPatterns(stadium, field seats at _ 0.30769230656666036)
      0.30769230656666036
mbl   extractionPatterns(stadium, field wall at _ 0.4117647861768502)
      0.4117647861768502
mbl   extractionPatterns(stadium, final home opener at _
0.862068969929546)     0.862068969929546
mbl   extractionPatterns(stadium, final opening day at _
0.2857142767129624)    0.2857142767129624
mbl   extractionPatterns(stadium, first baseball game at _
0.3846155557798213)    0.3846155557798213
mbl   extractionPatterns(stadium, football team plays at _
0.34615383254489884)   0.34615383254489884
mbl   extractionPatterns(stadium, game at historic _ 0.2857142767129624)
      0.2857142767129624
mbl   extractionPatterns(stadium, grass surface at _ 0.3333334295560505)
      0.3333334295560505
mbl   extractionPatterns(stadium, Hannah Montana concert at _
0.42857136873737717)   0.42857136873737717
mbl   extractionPatterns(stadium, _ has been the proud home
0.28205138734986673)   0.28205138734986673
mbl   extractionPatterns(stadium, hockey games at _ 0.47540985231833277)
      0.47540985231833277
mbl   extractionPatterns(stadium, home arena at _ 0.3333334295560505)
      0.3333334295560505
mbl   extractionPatterns(stadium, home debut at _ 0.3846155557798213)
      0.3846155557798213
mbl   extractionPatterns(stadium, home games held at _
0.34374987281298963)   0.34374987281298963
mbl   extractionPatterns(stadium, home game tickets are available for _
0.2857142767129624)    0.2857142767129624
mbl   extractionPatterns(stadium, home plate at _ 0.32258068112616345)
      0.32258068112616345
mbl   extractionPatterns(stadium, Ice show live at _ 0.3396226943737254)
      0.3396226943737254
mbl   extractionPatterns(stadium, _ is a baseball stadium
0.3636363315194487)    0.3636363315194487
mbl   extractionPatterns(stadiumLocatedInCity, arg1 and Downtown arg2
0.002143622765889386) 0.002143622765889386
mbl   extractionPatterns(stadiumLocatedInCity, arg1 and downtown arg2
8.123477873147536E-4) 8.123477873147536E-4
mbl   extractionPatterns(stadiumLocatedInCity, arg1 and other Sports
Locations in arg2 0.6666667387387801)    0.6666667387387801
mbl   extractionPatterns(stadiumLocatedInCity, arg1 in Downtown arg2
0.00112866811580709)   0.00112866811580709
mbl   extractionPatterns(stadiumLocatedInCity, arg1 in downtown arg2
5.488589890461265E-4) 5.488589890461265E-4
mbl   extractionPatterns(stadiumLocatedInCity, arg1 in the heart of
Downtown arg2 0.006920411816973067)       0.006920411816973067
mbl   extractionPatterns(stadiumLocatedInCity, arg1 is a baseball stadium
in arg2 0.009009010822633823)       0.009009010822633823
mbl   extractionPatterns(stadiumLocatedInCity, arg1 is located in
downtown arg2 0.0015290525251640062)      0.0015290525251640062
mbl   extractionPatterns(stadiumLocatedInCity, arg1 live in arg2
2.5714562482112265E-4) 2.5714562482112265E-4
mbl   extractionPatterns(stadiumLocatedInCity, arg1 opens in arg2
4.09165433834508E-4)    4.09165433834508E-4
mbl   extractionPatterns(stadiumLocatedInCity, arg1 Rush concert event in
arg2 0.010380626983851924)    0.010380626983851924
mbl   extractionPatterns(stadiumLocatedInCity, arg2 concert at arg1
7.757951923500287E-4) 7.757951923500287E-4
mbl   extractionPatterns(stadiumLocatedInCity, arg2 Convention Center and
arg1 0.014925367453597592)    0.014925367453597592
mbl   extractionPatterns(stadiumLocatedInCity, arg2 landmarks such as
arg1 0.017241379492179642)    0.017241379492179642
mbl   extractionPatterns(stadiumLocatedInCity, arg2 tonight at arg1
9.216592313129914E-4) 9.216592313129914E-4
mbl   extractionPatterns(stadiumLocatedInCity, arg2 to perform at arg1
7.326005184022731E-4) 7.326005184022731E-4
mbl   extractionPatterns(stadium, Long tour at _ 0.43478266214570066)
      0.43478266214570066
mbl   extractionPatterns(stadium, luxury box at _ 0.42857136873737717)
      0.42857136873737717
mbl   extractionPatterns(stadium, morning skate at _ 0.3846155557798213)
      0.3846155557798213
mbl   extractionPatterns(stadium, NASCAR racing at _ 0.31249994056428093)
      0.31249994056428093
mbl   extractionPatterns(stadium, NBA game at _ 0.416666557230806)
      0.416666557230806
mbl   extractionPatterns(stadium, NCAA games at _ 0.3333334295560505)
      0.3333334295560505
mbl   extractionPatterns(stadium, open practice at _ 0.3333334295560505)
      0.3333334295560505
mbl   extractionPatterns(stadium, outdoor game at _ 0.5333331516919638)
      0.5333331516919638
mbl   extractionPatterns(stadium, Packers game at _ 0.3846155557798213)
      0.3846155557798213
mbl   extractionPatterns(stadium, Predators at _ 0.35294113229229485)
      0.35294113229229485
mbl   extractionPatterns(stadium, rain delay at _ 0.3500000435745399)
      0.3500000435745399
mbl   extractionPatterns(stadium, Raptors at _ 0.250000090279989)
      0.250000090279989
mbl   extractionPatterns(stadium, Rolling Stones concert at _
0.35294113229229485)    0.35294113229229485
mbl   extractionPatterns(stadium, Seahawks game at _ 0.3333334295560505)
      0.3333334295560505
mbl   extractionPatterns(stadium, seating chart of _ 0.36507918635932646)
      0.36507918635932646
mbl   extractionPatterns(stadium, sellout crowd at _ 0.2564101418296668)
      0.2564101418296668
mbl   extractionPatterns(stadium, Series game at _ 0.2857142767129624)
      0.2857142767129624
mbl   extractionPatterns(stadium, sold-out concert at _
0.34374987281298963)   0.34374987281298963
mbl   extractionPatterns(stadium, south end zone of _
0.31249994056428093)   0.31249994056428093
mbl   extractionPatterns(stadium, Springsteen concert at _
0.3333334295560505)    0.3333334295560505
mbl   extractionPatterns(stadium, stadium was renamed _
0.3333334295560505)    0.3333334295560505
mbl   extractionPatterns(stadium, Stadium was renamed _
0.34615383254489884)   0.34615383254489884
mbl   extractionPatterns(stadium, _ was the first stadium
0.4642857851884937)    0.4642857851884937
mbl   extractionPatterns(stadium, Yankees play at _ 0.3333334295560505)
      0.3333334295560505
mbl   extractionPatterns(stadium, Yankees played at _
0.42857136873737717)   0.42857136873737717
mbl   extractionPatterns(stateHasCapital, arg1 and the City of arg2
0.0049771044141044204) 0.0049771044141044204
mbl   extractionPatterns(stateHasCapital, arg1 and used car dealers in
arg2 0.0051993066438820994) 0.0051993066438820994
mbl   extractionPatterns(stateHasCapital, arg1 Attorney General in arg2
0.004158004530336051) 0.004158004530336051
mbl   extractionPatterns(stateHasCapital, arg1 Canada covering arg2
0.009950246044767835) 0.009950246044767835
mbl   extractionPatterns(stateHasCapital, arg1 cities like arg2
0.002724795226306762) 0.002724795226306762
mbl   extractionPatterns(stateHasCapital, arg1 Democratic Party in arg2
0.009950246044767835) 0.009950246044767835
mbl   extractionPatterns(stateHasCapital, arg1 Department of
Transportation in arg2 0.028571430328269018) 0.028571430328269018
mbl   extractionPatterns(stateHasCapital, arg1 General Assembly in arg2
0.002724795226306762) 0.002724795226306762
mbl   extractionPatterns(stateHasCapital, arg1 government and the City of
arg2 0.009950246044767835)   0.009950246044767835
mbl   extractionPatterns(stateHasCapital, arg1 Historical Center in arg2
0.13934422058615123)   0.13934422058615123
mbl   extractionPatterns(stateHasCapital, arg1 Historical Library in arg2
0.021428574298740073) 0.021428574298740073
mbl   extractionPatterns(stateHasCapital, arg1 Historical Society in arg2
0.04736844449168159)   0.04736844449168159
mbl   extractionPatterns(stateHasCapital, arg1 History Museum in arg2
0.002724795226306762) 0.002724795226306762
mbl   extractionPatterns(stateHasCapital, arg1 House of Representatives
in arg2 0.01704544954039918) 0.01704544954039918
mbl   extractionPatterns(stateHasCapital, arg1 including cities such as
arg2 0.004347827430101057)   0.004347827430101057
mbl   extractionPatterns(stateHasCapital, arg1 is part of MetroGuide arg2
0.004347827430101057) 0.004347827430101057
mbl   extractionPatterns(stateHasCapital, arg1 is the city of arg2
0.0010932941328473521) 0.0010932941328473521
mbl   extractionPatterns(stateHasCapital, arg1 Legislature in arg2
0.004347827430101057) 0.004347827430101057
mbl   extractionPatterns(stateHasCapital, arg1 School for the Deaf in
arg2 0.009950246044767835)   0.009950246044767835
mbl   extractionPatterns(stateHasCapital, arg1 State Archives in arg2
0.07575756284790451)   0.07575756284790451
mbl   extractionPatterns(stateHasCapital, arg1 State Board of Education
in arg2 0.02097902814528369) 0.02097902814528369
mbl   extractionPatterns(stateHasCapital, arg1 State Capital in arg2
0.009950246044767835) 0.009950246044767835
mbl   extractionPatterns(stateHasCapital, arg1 state capital of arg2
0.004347827430101057) 0.004347827430101057
mbl   extractionPatterns(stateHasCapital, arg1 State Capitol Building in
arg2 0.02097902814528369)    0.02097902814528369
mbl   extractionPatterns(stateHasCapital, arg1 State Capitol building in
arg2 0.045454566061746304)   0.045454566061746304
mbl   extractionPatterns(stateHasCapital, arg1 state capitol in arg2
0.028571430328269018) 0.028571430328269018
mbl   extractionPatterns(stateHasCapital, arg1 State Capitol in arg2
0.1328124893568584)    0.1328124893568584
mbl   extractionPatterns(stateHasCapital, arg1 State Fairgrounds in arg2
0.10655734372568025)   0.10655734372568025
mbl   extractionPatterns(stateHasCapital, arg1 State Fair in arg2
0.04230770746303628)   0.04230770746303628
mbl   extractionPatterns(stateHasCapital, arg1 Statehouse in arg2
0.053030291020587754) 0.053030291020587754
mbl   extractionPatterns(stateHasCapital, arg1 State Library in arg2
0.08496728320982302)   0.08496728320982302
mbl   extractionPatterns(stateHasCapital, arg1 State Museum in arg2
0.06493503307920155)   0.06493503307920155
mbl   extractionPatterns(stateHasCapital, arg1 State Penitentiary in arg2
0.09016391386298388)   0.09016391386298388
mbl   extractionPatterns(stateHasCapital, arg1 State University in arg2
0.021450056490968372) 0.021450056490968372
mbl   extractionPatterns(stateHasCapital, arg1 The table below shows arg2
0.020134228535785566) 0.020134228535785566
mbl   extractionPatterns(stateHasCapital, arg2 and central arg1
0.001643115736876272) 0.001643115736876272
mbl   extractionPatterns(stateHasCapital, arg2 and Central arg1
0.002128923129735505) 0.002128923129735505
mbl   extractionPatterns(stateHasCapital, arg2 and other cities in arg1
0.004524885527229851) 0.004524885527229851
mbl   extractionPatterns(stateHasCapital, arg2 and Southern arg1
0.0012088243539458727) 0.0012088243539458727
mbl   extractionPatterns(stateHasCapital, arg2 and throughout arg1
9.048286221380084E-4) 9.048286221380084E-4
mbl   extractionPatterns(stateHasCapital, arg2 baskets in arg1
0.010460249163780041) 0.010460249163780041
mbl   extractionPatterns(stateHasCapital, arg2 is the biggest city in
arg1 0.02097902814528369)    0.02097902814528369
mbl   extractionPatterns(stateHasCapital, arg2 is the capital city of
arg1 0.005594406610204943)   0.005594406610204943
mbl   extractionPatterns(stateHasCapital, arg2 is the capital of arg1
0.011428569067012461) 0.011428569067012461
mbl   extractionPatterns(stateHasCapital, arg2 is the largest city in
arg1 0.004081633512427548)   0.004081633512427548
mbl   extractionPatterns(stateHasCapital, arg2 or anywhere in arg1
0.010920440179497393) 0.010920440179497393
mbl   extractionPatterns(stateHasCapital, arg2 or elsewhere in arg1
0.007633590253444304) 0.007633590253444304
mbl   extractionPatterns(stateHasCapital, arg2 Police Department in arg1
0.004347827430101057) 0.004347827430101057
mbl   extractionPatterns(stateHasCapital, arg2 Public Schools in arg1
0.002724795226306762) 0.002724795226306762
mbl   extractionPatterns(stateHasCapital, arg2 the capital of arg1
0.00886262750680271)   0.00886262750680271
mbl   extractionPatterns(stateLocatedInCountry, arg1 and all across arg2
0.02620086116138759)   0.02620086116138759
mbl   extractionPatterns(stateLocatedInCountry, arg1 and DD in arg2
0.004608296560094573) 0.004608296560094573
mbl   extractionPatterns(stateLocatedInCountry, arg1 and Illinois in arg2
0.004608296560094573) 0.004608296560094573
mbl   extractionPatterns(stateLocatedInCountry, arg1 and New Jersey in
arg2 0.008219178615734662)   0.008219178615734662
mbl   extractionPatterns(stateLocatedInCountry, arg1 and ninth in arg2
0.006912444092850174) 0.006912444092850174
mbl   extractionPatterns(stateLocatedInCountry, arg1 and other
jurisdictions in arg2 0.004608296560094573)    0.004608296560094573
mbl   extractionPatterns(stateLocatedInCountry, arg1 and other regions of
arg2 0.017467242662609832)   0.017467242662609832
mbl   extractionPatterns(stateLocatedInCountry, arg1 and other
universities in arg2 0.0076530577892024495)    0.0076530577892024495
mbl   extractionPatterns(stateLocatedInCountry, arg1 and the applicable
laws of arg2 0.05084746552055705) 0.05084746552055705
mbl   extractionPatterns(stateLocatedInCountry, arg1 and the country of
arg2 0.010958904026987409)   0.010958904026987409
mbl   extractionPatterns(stateLocatedInCountry, arg1 and the eighth
largest in arg2 0.008219178615734662)    0.008219178615734662
mbl   extractionPatterns(stateLocatedInCountry, arg1 and the federal
government of arg2 0.011627910421552923)       0.011627910421552923
mbl   extractionPatterns(stateLocatedInCountry, arg1 and the federal laws
of arg2 0.28813562199053633) 0.28813562199053633
mbl   extractionPatterns(stateLocatedInCountry, arg1 and the fourth
largest in arg2 0.05240176526286297)     0.05240176526286297
mbl   extractionPatterns(stateLocatedInCountry, arg1 and the largest city
in arg2 0.0076530577892024495)     0.0076530577892024495
mbl   extractionPatterns(stateLocatedInCountry, arg1 and the laws of arg2
0.05393260863739667)   0.05393260863739667
mbl   extractionPatterns(stateLocatedInCountry, arg1 and the remainder of
arg2 0.004608296560094573)   0.004608296560094573
mbl   extractionPatterns(stateLocatedInCountry, arg1 and the second in
arg2 0.0065359471986433885) 0.0065359471986433885
mbl   extractionPatterns(stateLocatedInCountry, arg1 and the second
largest in arg2 0.008219178615734662)    0.008219178615734662
mbl   extractionPatterns(stateLocatedInCountry, arg1 and the Supreme
Court of arg2 0.021739139054112466)      0.021739139054112466
mbl   extractionPatterns(stateLocatedInCountry, arg1 and the west coast
of arg2 0.015306128120854223)      0.015306128120854223
mbl   extractionPatterns(stateLocatedInCountry, arg1 became a part of
arg2 0.011523682653690165)   0.011523682653690165
mbl   extractionPatterns(stateLocatedInCountry, arg1 became a province of
arg2 0.015306128120854223)   0.015306128120854223
mbl   extractionPatterns(stateLocatedInCountry, arg1 became a state of
arg2 0.006696428194733553)   0.006696428194733553
mbl   extractionPatterns(stateLocatedInCountry, arg1 became part of arg2
0.006621422850686172) 0.006621422850686172
mbl   extractionPatterns(stateLocatedInCountry, arg1 became the first
jurisdiction in arg2 0.011627910421552923)     0.011627910421552923
mbl   extractionPatterns(stateLocatedInCountry, arg1 became the first
state in arg2 0.012755101114239342)      0.012755101114239342
mbl   extractionPatterns(stateLocatedInCountry, arg1 but across arg2
0.01465202101194379)   0.01465202101194379
mbl   extractionPatterns(stateLocatedInCountry, arg1 from elsewhere in
arg2 0.0050933780729209635) 0.0050933780729209635
mbl   extractionPatterns(stateLocatedInCountry, arg1 hotel booking in
arg2 0.010204086517047822)   0.010204086517047822
mbl   extractionPatterns(stateLocatedInCountry, arg1 in the country of
arg2 0.0053547514003370374) 0.0053547514003370374
mbl   extractionPatterns(stateLocatedInCountry, arg1 is a state in arg2
0.011415525090666043) 0.011415525090666043
mbl   extractionPatterns(stateLocatedInCountry, arg1 is still part of
arg2 0.011627910421552923)   0.011627910421552923
mbl   extractionPatterns(stateLocatedInCountry, arg1 is the first state
in arg2 0.017857137334557092)      0.017857137334557092
mbl   extractionPatterns(stateLocatedInCountry, arg1 law and the laws of
arg2 0.0076530577892024495) 0.0076530577892024495
mbl   extractionPatterns(stateLocatedInCountry, arg1 or anywhere else in
arg2 0.03174601732799018)    0.03174601732799018
mbl   extractionPatterns(stateLocatedInCountry, arg1 or the rest of arg2
0.032573278651244666) 0.032573278651244666
mbl   extractionPatterns(stateLocatedInCountry, arg1 Province of arg2
0.0045167119253592455) 0.0045167119253592455
mbl   extractionPatterns(stateLocatedInCountry, arg1 ranks first in arg2
0.006849312477454848) 0.006849312477454848
mbl   extractionPatterns(stateLocatedInCountry, arg1 secedes from arg2
0.03930132679459825)   0.03930132679459825
mbl   extractionPatterns(stateLocatedInCountry, arg1 state in arg2
0.007732755589678578) 0.007732755589678578
mbl   extractionPatterns(stateLocatedInCountry, arg1 than any other state
in arg2 0.006849312477454848)      0.006849312477454848
mbl   extractionPatterns(stateLocatedInCountry, arg1 than anywhere else
in arg2 0.012610342101397363)      0.012610342101397363
mbl   extractionPatterns(stateLocatedInCountry, arg1 to secede from arg2
0.005084747024906879) 0.005084747024906879
mbl   extractionPatterns(stateLocatedInCountry, arg1 to the Supreme Court
of arg2 0.0068610622657332195)     0.0068610622657332195
mbl   extractionPatterns(stateLocatedInCountry, arg1 was the first state
in arg2 0.011627910421552923)      0.011627910421552923
mbl   extractionPatterns(stateLocatedInCountry, arg2 and specifically in
arg1 0.006696428194733553)   0.006696428194733553
mbl   extractionPatterns(stateLocatedInCountry, arg2 and the largest in
arg1 0.015503879438786849)   0.015503879438786849
mbl   extractionPatterns(stateLocatedInCountry, arg2 and the State of
arg1 0.05676036478011331)     0.05676036478011331
mbl   extractionPatterns(stateLocatedInCountry, arg2 westward to arg1
0.0066225154755956105) 0.0066225154755956105
mbl   extractionPatterns(stateOrProvince, American state of _
0.7087375430770713)     0.7087375430770713
mbl   extractionPatterns(stateOrProvince, beautiful state of _
0.6164703818183636)     0.6164703818183636
mbl   extractionPatterns(stateOrProvince, big island of _
0.6935062687324306)     0.6935062687324306
mbl   extractionPatterns(stateOrProvince, Canada province of _
0.9056602891872323)     0.9056602891872323
mbl   extractionPatterns(stateOrProvince, Canadian province of _
0.8934820804855956)     0.8934820804855956
mbl   extractionPatterns(stateOrProvince, Canadian provinces of _
0.9080462187220715)     0.9080462187220715
mbl   extractionPatterns(stateOrProvince, career institutes in _
0.520000243051522)      0.520000243051522
mbl   extractionPatterns(stateOrProvince, comfortable properties
throughout _ 0.5000000902799808) 0.5000000902799808
mbl   extractionPatterns(stateOrProvince, computer colleges in _
0.5600002773417163)     0.5600002773417163
mbl   extractionPatterns(stateOrProvince, congressman from _
0.49789901681476934)    0.49789901681476934
mbl   extractionPatterns(stateOrProvince, Disclaimers are predicated on
applicable _ 0.8627450970091538) 0.8627450970091538
mbl   extractionPatterns(stateOrProvince, Drug addiction in _
0.60150405626947) 0.60150405626947
mbl   extractionPatterns(stateOrProvince, eastern state of _
0.6643833245951142)     0.6643833245951142
mbl   extractionPatterns(stateOrProvince, entire state of _
0.4819113996411768)     0.4819113996411768
mbl   extractionPatterns(stateOrProvince, family camping in _
0.4864865617693322)     0.4864865617693322
mbl   extractionPatterns(stateOrProvince, former governor of _
0.39454542483068183)    0.39454542483068183
mbl   extractionPatterns(stateOrProvince, good churches in _
0.6012659078196925)     0.6012659078196925
mbl   extractionPatterns(stateOrProvince, great state of _
0.7019732367295195)     0.7019732367295195
mbl   extractionPatterns(stateOrProvince, gross state domestic product of
_ 0.6153845020195187) 0.6153845020195187
mbl   extractionPatterns(stateOrProvince, home state of _
0.6470316937356042)     0.6470316937356042
mbl   extractionPatterns(stateOrProvince, Indian states of _
0.5087721525894209)     0.5087721525894209
mbl   extractionPatterns(stateOrProvince, investment advising available
in _ 0.729411670936523)       0.729411670936523
mbl   extractionPatterns(stateOrProvince, _ is the only state
0.34539693053694437)    0.34539693053694437
mbl   extractionPatterns(stateOrProvince, Junk yard in _
0.5714284502488258)     0.5714284502488258
mbl   extractionPatterns(stateOrProvince, Library Science courses in _
0.5294116412047185)     0.5294116412047185
mbl   extractionPatterns(stateOrProvince, LLB courses in _
0.5000000902799808)    0.5000000902799808
mbl   extractionPatterns(stateOrProvince, Local markets in _
0.6363637151092231)    0.6363637151092231
mbl   extractionPatterns(stateOrProvince, professional engineer in _
0.5023254814342977)    0.5023254814342977
mbl   extractionPatterns(stateOrProvince, _ providing various music
courses 0.5600002773417163) 0.5600002773417163
mbl   extractionPatterns(stateOrProvince, provincial bird of _
0.6800003269522281)    0.6800003269522281
mbl   extractionPatterns(stateOrProvince, rugged coast of _
0.4862385168796531)    0.4862385168796531
mbl   extractionPatterns(stateOrProvince, _ said dyetter
0.782609054112853)     0.782609054112853
mbl   extractionPatterns(stateOrProvince, senator from _
0.5336815319738013)    0.5336815319738013
mbl   extractionPatterns(stateOrProvince, _ singles data
0.802469043339414)     0.802469043339414
mbl   extractionPatterns(stateOrProvince, _ singles statistics
0.9898993576109144)    0.9898993576109144
mbl   extractionPatterns(stateOrProvince, _ singles stats
0.9753089367189083)    0.9753089367189083
mbl   extractionPatterns(stateOrProvince, southern Mexican state of _
0.5600002773417163)    0.5600002773417163
mbl   extractionPatterns(stateOrProvince, state bird of _
0.548507678651616)     0.548507678651616
mbl   extractionPatterns(stateOrProvince, state except _
0.6361028594650895)    0.6361028594650895
mbl   extractionPatterns(stateOrProvince, state flower of _
0.5963300440521359)    0.5963300440521359
mbl   extractionPatterns(stateOrProvince, states except _
0.5677421071923584)    0.5677421071923584
mbl   extractionPatterns(stateOrProvince, states , including _
0.4376818510517979)    0.4376818510517979
mbl   extractionPatterns(stateOrProvince, states other than _
0.5480986445120455)    0.5480986445120455
mbl   extractionPatterns(stateOrProvince, U.S. state of _
0.7641256805554334)    0.7641256805554334
mbl   extractionPatterns(stateOrProvince, US state of _
0.8271336407304429)    0.8271336407304429
mbl   extractionPatterns(stateOrProvince, various law colleges in _
0.5333331516919638)    0.5333331516919638
mbl   extractionPatterns(stateOrProvince, wall maps of _
0.48333320391390355)   0.48333320391390355
mbl   extractionPatterns(stateOrProvince, _ was the first state
0.541666922813532)     0.541666922813532
mbl   extractionPatterns(stateOrProvince, whole state of _
0.49056622195846167)   0.49056622195846167
mbl   extractionPatterns(stateOrProvince, women polytechnics in _
0.4925373419628073)    0.4925373419628073
mbl   extractionPatterns(teamHomeStadium, arg1 at home at arg2
0.003062786979223544) 0.003062786979223544
mbl   extractionPatterns(teamHomeStadium, arg1 basketball at arg2
0.004434590505289339) 0.004434590505289339
mbl   extractionPatterns(teamHomeStadium, arg1 basketball games at arg2
0.03389831401172234)   0.03389831401172234
mbl   extractionPatterns(teamHomeStadium, arg1 game at arg2
0.0016737962981702675) 0.0016737962981702675
mbl   extractionPatterns(teamHomeStadium, arg1 is homed in arg2
0.004434590505289339) 0.004434590505289339
mbl   extractionPatterns(teamHomeStadium, arg1 meet at arg2
0.0010860706547111308) 0.0010860706547111308
mbl   extractionPatterns(teamHomeStadium, arg1 on Friday at arg2
0.004895959528715532) 0.004895959528715532
mbl   extractionPatterns(teamHomeStadium, arg1 on Monday at arg2
0.007518797956554604) 0.007518797956554604
mbl   extractionPatterns(teamHomeStadium, arg1 on Saturday at arg2
0.0030234309992292797) 0.0030234309992292797
mbl   extractionPatterns(teamHomeStadium, arg1 on Sunday at arg2
0.0021367527690548936) 0.0021367527690548936
mbl   extractionPatterns(teamHomeStadium, arg1 on Thursday at arg2
0.003968254315521535) 0.003968254315521535
mbl   extractionPatterns(teamHomeStadium, arg1 on Thursday night at arg2
0.0052770449842875)    0.0052770449842875
mbl   extractionPatterns(teamHomeStadium, arg1 on Wednesday at arg2
0.011881187644126401) 0.011881187644126401
mbl   extractionPatterns(teamHomeStadium, arg1 play at arg2
0.00270544464842108)   0.00270544464842108
mbl   extractionPatterns(teamHomeStadium, arg1 play their home games at
arg2 0.003062786979223544)   0.003062786979223544
mbl   extractionPatterns(teamHomeStadium, arg1 this evening at arg2
0.0052770449842875)    0.0052770449842875
mbl   extractionPatterns(teamHomeStadium, arg1 Tickets at arg2
9.81354301494333E-4)   9.81354301494333E-4
mbl   extractionPatterns(teamHomeStadium, arg1 tonight at arg2
0.002764976895778203) 0.002764976895778203
mbl   extractionPatterns(teamHomeStadium, arg2 also offers arg1
3.515927870517762E-5) 3.515927870517762E-5
mbl   extractionPatterns(teamHomeStadium, arg2 and cheer arg1
0.005940594894696595) 0.005940594894696595
mbl   extractionPatterns(teamHomeStadium, arg2 and watch arg1
5.888412666365424E-5) 5.888412666365424E-5
mbl   extractionPatterns(teamHomeStadium, arg2 home of arg1
4.466277876725452E-4) 4.466277876725452E-4
mbl   extractionPatterns(teamHomeStadium, arg2 Home of arg1
9.835254927833168E-4) 9.835254927833168E-4
mbl   extractionPatterns(teamHomeStadium, arg2 is home of arg1
0.0022522512667394615) 0.0022522512667394615
mbl   extractionPatterns(teamHomeStadium, arg2 is the home of arg1
4.3655420910768204E-4) 4.3655420910768204E-4
mbl   extractionPatterns(teamHomeStadium, arg2 to watch arg1
2.0209170064181846E-4) 2.0209170064181846E-4
mbl   extractionPatterns(teammates, arg1 scored points and arg2
0.005555554727167898) 0.005555554727167898
mbl   extractionPatterns(teammates, arg1 scored twice and arg2
0.016260165444105492) 0.016260165444105492
mbl   extractionPatterns(teammates, arg2 scored points and arg1
0.005555554727167898) 0.005555554727167898
mbl   extractionPatterns(teammates, arg2 scored twice and arg1
0.016260165444105492) 0.016260165444105492
mbl   extractionPatterns(teamPlaysAgainstTeam, arg1 by knocking off arg2
8.55798163439388E-4)   8.55798163439388E-4
mbl   extractionPatterns(teamPlaysAgainstTeam, arg1 defeat arg2
0.001360081030172314) 0.001360081030172314
mbl   extractionPatterns(teamPlaysAgainstTeam, arg1 defeated arg2
9.563889205280139E-5) 9.563889205280139E-5
mbl   extractionPatterns(teamPlaysAgainstTeam, arg1 game against arg2
9.840587080887002E-4) 9.840587080887002E-4
mbl   extractionPatterns(teamPlaysAgainstTeam, arg1 lost to arg2
0.001314845645618167) 0.001314845645618167
mbl   extractionPatterns(teamPlaysAgainstTeam, arg1 visit arg2
2.3069686083675698E-4) 2.3069686083675698E-4
mbl   extractionPatterns(teamPlaysAgainstTeam, arg2 by knocking off arg1
8.55798163439388E-4)   8.55798163439388E-4
mbl   extractionPatterns(teamPlaysAgainstTeam, arg2 defeat arg1
0.001360081030172314) 0.001360081030172314
mbl   extractionPatterns(teamPlaysAgainstTeam, arg2 defeated arg1
9.563889205280139E-5) 9.563889205280139E-5
mbl   extractionPatterns(teamPlaysAgainstTeam, arg2 lost to arg1
0.001314845645618167) 0.001314845645618167
mbl   extractionPatterns(teamPlaysAgainstTeam, arg2 play arg1
5.07511134693654E-5)   5.07511134693654E-5
mbl   extractionPatterns(teamPlaysAgainstTeam, arg2 played arg1
3.854604720682996E-5) 3.854604720682996E-5
mbl   extractionPatterns(teamPlaysAgainstTeam, arg2 swept arg1
4.363002084793337E-4) 4.363002084793337E-4
mbl   extractionPatterns(teamPlaysAgainstTeam, arg2 visit arg1
2.3069686083675698E-4) 2.3069686083675698E-4
mbl   extractionPatterns(teamPlaysInCity, arg1 are currently based in
arg2 0.04444445818712987)    0.04444445818712987
mbl   extractionPatterns(teamPlaysInCity, arg1 game in arg2
0.001018434127890167) 0.001018434127890167
mbl   extractionPatterns(teamPlaysInCity, arg1 games in arg2
5.451077916573269E-4) 5.451077916573269E-4
mbl   extractionPatterns(teamPlaysInCity, arg1 tonight in arg2
0.0012106534788389877) 0.0012106534788389877
mbl   extractionPatterns(teamPlaysInCity, arg2 and beat arg1
8.663011167204837E-4) 8.663011167204837E-4
mbl   extractionPatterns(teamPlaysInCity, arg2 for a game against arg1
0.034883721194839463) 0.034883721194839463
mbl   extractionPatterns(teamPlaysInCity, arg2 to face arg1
3.288081855062916E-4) 3.288081855062916E-4
mbl   extractionPatterns(teamPlaysInCity, arg2 tonight to play arg1
0.04255320941064689)   0.04255320941064689
mbl   extractionPatterns(teamPlaysInCity, arg2 to take on arg1
8.183307199112524E-4) 8.183307199112524E-4
mbl   extractionPatterns(teamPlaysInLeague, arg1 dominance in arg2
0.00440528642062292)   0.00440528642062292
mbl   extractionPatterns(teamPlaysInLeague, arg1 have dominated arg2
0.002004008207918884) 0.002004008207918884
mbl   extractionPatterns(teamPlaysInLeague, arg1 have the best record in
arg2 0.122448958638684)      0.122448958638684
mbl   extractionPatterns(teamPlaysInLeague, arg1 the best team in arg2
0.09090911570894615)   0.09090911570894615
mbl   extractionPatterns(teamPlaysInLeague, arg2 career with arg1
0.0015612804392455839) 0.0015612804392455839
mbl   extractionPatterns(teamPlaysInLeague, arg2 debut with arg1
0.0024721872348543407) 0.0024721872348543407
mbl   extractionPatterns(teamPlaysInLeague, arg2 Most Valuable Player and
arg1 0.09090911570894615)    0.09090911570894615
mbl   extractionPatterns(teamPlaysInLeague, arg2 seasons with arg1
0.017241379492179642) 0.017241379492179642
mbl   extractionPatterns(teamPlaysSport, arg1 are playing their best arg2
0.07407405077366172)   0.07407405077366172
mbl   extractionPatterns(teamPlaysSport, arg1 of fantasy arg2
4.5913696211797585E-4) 4.5913696211797585E-4
mbl   extractionPatterns(teamPlaysSport, arg1 played great arg2
0.011235959210474253) 0.011235959210474253
mbl   extractionPatterns(teamPlaysSport, arg1 played their best arg2
0.047058818605667345) 0.047058818605667345
mbl   extractionPatterns(teamPlaysSport, arg1 were playing their best
arg2 0.03030301701413868)    0.03030301701413868
mbl   extractionPatterns(teamPlaysSport, arg1 were the best team in arg2
0.08333330414900512)   0.08333330414900512
mbl   extractionPatterns(teamPlaysSport, arg1 will play arg2
1.1223339174691024E-4) 1.1223339174691024E-4
mbl   extractionPatterns(teamPlaysSport, arg2 and the New York arg1
3.212335915328049E-4) 3.212335915328049E-4
mbl   extractionPatterns(teamPlaysSport, arg2 days with the New York arg1
0.18181819858880538)   0.18181819858880538
mbl   extractionPatterns(teamPlaysSport, arg2 for the Cleveland arg1
0.0047393371254790305) 0.0047393371254790305
mbl   extractionPatterns(teamPlaysSport, arg2 for the New York arg1
8.237232056173341E-4) 8.237232056173341E-4
mbl   extractionPatterns(teamPlaysSport, arg2 for the Pittsburgh arg1
0.006729475991141773) 0.006729475991141773
mbl   extractionPatterns(teamPlaysSport, arg2 game between arg1
0.003144655291761794) 0.003144655291761794
mbl   extractionPatterns(teamPlaysSport, arg2 game between the arg1
0.014150943198168437) 0.014150943198168437
mbl   extractionPatterns(teamPlaysSport, arg2 game but arg1
0.008163265550896179) 0.008163265550896179
mbl   extractionPatterns(teamPlaysSport, arg2 operations for arg1
0.0010270455464426202) 0.0010270455464426202
mbl   extractionPatterns(teamPlaysSport, arg2 player for arg1
0.0023640666171307182) 0.0023640666171307182
mbl   extractionPatterns(teamPlaysSport, arg2 player for the New York
arg1 0.05882354965036912)    0.05882354965036912
mbl   extractionPatterns(teamPlaysSport, arg2 player for the Pittsburgh
arg1 0.5000000902799808)     0.5000000902799808
mbl   extractionPatterns(teamPlaysSport, arg2 team Chicago arg1
0.03030301701413868)   0.03030301701413868
mbl   extractionPatterns(teamPlaysSport, arg2 team is arg1
0.0010351965157479625) 0.0010351965157479625
mbl   extractionPatterns(teamPlaysSport, arg2 team is the Chicago arg1
0.3999998927496764)    0.3999998927496764
mbl   extractionPatterns(teamPlaysSport, arg2 team is the New York arg1
0.16666674487136082)   0.16666674487136082
mbl   extractionPatterns(teamPlaysSport, arg2 team named the Pittsburgh
arg1 0.19999998248682085)    0.19999998248682085
mbl   extractionPatterns(teamPlaysSport, arg2 with the Cleveland arg1
0.003831419185144737) 0.003831419185144737
mbl   extractionPatterns(teamPlaysSport, arg2 with the Pittsburgh arg1
0.008561644438305904) 0.008561644438305904
mbl   extractionPatterns(teamWonTrophy, arg1 advanced to arg2
0.0022212348477846167) 0.0022212348477846167
mbl   extractionPatterns(teamWonTrophy, arg1 are going to arg2
0.0036447336095208134) 0.0036447336095208134
mbl   extractionPatterns(teamWonTrophy, arg1 are going to win arg2
0.02352941355130292)   0.02352941355130292
mbl   extractionPatterns(teamWonTrophy, arg1 are playing in arg2
0.004658387130914625) 0.004658387130914625
mbl   extractionPatterns(teamWonTrophy, arg1 are winning arg2
0.002063984378391979) 0.002063984378391979
mbl   extractionPatterns(teamWonTrophy, arg1 can win arg2
0.0022281647821046115) 0.0022281647821046115
mbl   extractionPatterns(teamWonTrophy, arg1 did not win arg2
0.002063984378391979) 0.002063984378391979
mbl   extractionPatterns(teamWonTrophy, arg1 did win arg2
0.008379885735189692) 0.008379885735189692
mbl   extractionPatterns(teamWonTrophy, arg1 finally won arg2
0.03389831401172234)   0.03389831401172234
mbl   extractionPatterns(teamWonTrophy, arg1 go on to win arg2
0.008379885735189692) 0.008379885735189692
mbl   extractionPatterns(teamWonTrophy, arg1 had won arg2
0.003770740038882883) 0.003770740038882883
mbl   extractionPatterns(teamWonTrophy, arg1 have finally won arg2
0.008379885735189692) 0.008379885735189692
mbl   extractionPatterns(teamWonTrophy, arg1 have not won arg2
0.03864735271828269)   0.03864735271828269
mbl   extractionPatterns(teamWonTrophy, arg1 have won arg2
0.0015647409435027282) 0.0015647409435027282
mbl   extractionPatterns(teamWonTrophy, arg1 head to arg2
7.601673131739661E-4) 7.601673131739661E-4
mbl   extractionPatterns(teamWonTrophy, arg1 just won arg2
0.019455256273562926) 0.019455256273562926
mbl   extractionPatterns(teamWonTrophy, arg1 last reached arg2
0.004158004530336051) 0.004158004530336051
mbl   extractionPatterns(teamWonTrophy, arg1 last won arg2
0.008379885735189692) 0.008379885735189692
mbl   extractionPatterns(teamWonTrophy, arg1 lost the DDDD arg2
0.004158004530336051) 0.004158004530336051
mbl   extractionPatterns(teamWonTrophy, arg1 made it to arg2
0.0017276122951617144) 0.0017276122951617144
mbl   extractionPatterns(teamWonTrophy, arg1 make it to arg2
0.0033361127403090727) 0.0033361127403090727
mbl   extractionPatterns(teamWonTrophy, arg1 making it to arg2
0.004158004530336051) 0.004158004530336051
mbl   extractionPatterns(teamWonTrophy, arg1 might win arg2
0.004158004530336051) 0.004158004530336051
mbl   extractionPatterns(teamWonTrophy, arg1   move on to arg2
0.0025706949707416586) 0.0025706949707416586
mbl   extractionPatterns(teamWonTrophy, arg1   should win arg2
0.004158004530336051) 0.004158004530336051
mbl   extractionPatterns(teamWonTrophy, arg1   their second arg2
0.002063984378391979) 0.002063984378391979
mbl   extractionPatterns(teamWonTrophy, arg1   to their first arg2
0.00201308481415588)   0.00201308481415588
mbl   extractionPatterns(teamWonTrophy, arg1   to win arg2
8.344088899766805E-4) 8.344088899766805E-4
mbl   extractionPatterns(teamWonTrophy, arg1   victory in arg2
0.0024067379405429057) 0.0024067379405429057
mbl   extractionPatterns(teamWonTrophy, arg1   went on to win arg2
0.01277372438914048)   0.01277372438914048
mbl   extractionPatterns(teamWonTrophy, arg1   were going to arg2
0.0010065425888191985) 0.0010065425888191985
mbl   extractionPatterns(teamWonTrophy, arg1   were going to win arg2
0.03864735271828269)   0.03864735271828269
mbl   extractionPatterns(teamWonTrophy, arg1   were playing in arg2
0.007672636352818104) 0.007672636352818104
mbl   extractionPatterns(teamWonTrophy, arg1   will never win arg2
0.007672636352818104) 0.007672636352818104
mbl   extractionPatterns(teamWonTrophy, arg1   will not win arg2
0.007672636352818104) 0.007672636352818104
mbl   extractionPatterns(teamWonTrophy, arg1   will win arg2
0.004716124015014434) 0.004716124015014434
mbl   extractionPatterns(teamWonTrophy, arg1   win arg2
0.004823376873792914) 0.004823376873792914
mbl   extractionPatterns(teamWonTrophy, arg1   win first arg2
7.601673131739661E-4) 7.601673131739661E-4
mbl   extractionPatterns(teamWonTrophy, arg1   winning their second arg2
0.01568627739668317)   0.01568627739668317
mbl   extractionPatterns(teamWonTrophy, arg1   win second arg2
0.007672636352818104) 0.007672636352818104
mbl   extractionPatterns(teamWonTrophy, arg1   win the DDDD arg2
0.04347827025779013)   0.04347827025779013
mbl   extractionPatterns(teamWonTrophy, arg1   won arg2
0.002758415109163312) 0.002758415109163312
mbl   extractionPatterns(teamWonTrophy, arg1   won the first arg2
0.0018867924651814476) 0.0018867924651814476
mbl   extractionPatterns(teamWonTrophy, arg1   won their first arg2
0.03351956435573486)   0.03351956435573486
mbl   extractionPatterns(teamWonTrophy, arg1   won their second arg2
0.027450991265577804) 0.027450991265577804
mbl   extractionPatterns(teamWonTrophy, arg1   won their third arg2
0.02352941355130292)   0.02352941355130292
mbl   extractionPatterns(teamWonTrophy, arg1   would be playing in arg2
7.601673131739661E-4) 7.601673131739661E-4
mbl   extractionPatterns(teamWonTrophy, arg1   would win arg2
0.006781750666243447) 0.006781750666243447
mbl   extractionPatterns(teamWonTrophy, arg2   loss to arg1
9.111618632795778E-4) 9.111618632795778E-4
mbl   extractionPatterns(teamWonTrophy, arg2   win by arg1
0.007228917336597219) 0.007228917336597219
mbl   extractionPatterns(tool, analyzers , digital _ 0.5000000902799808)
      0.5000000902799808
mbl   extractionPatterns(tool, axes , small _ 0.250000090279989)
      0.250000090279989
mbl   extractionPatterns(tool, _ clanking in 0.09523811972985817)
      0.09523811972985817
mbl   extractionPatterns(tool, clones were used as _ 0.2727272683991621)
      0.2727272683991621
mbl   extractionPatterns(tool, construction workers using _
0.250000090279989)      0.250000090279989
mbl   extractionPatterns(tool, dwarves with _ 0.13333333607230202)
      0.13333333607230202
mbl   extractionPatterns(tool, farm implements such as _
0.3636363315194487)     0.3636363315194487
mbl   extractionPatterns(tool, fragments used as _ 0.5999997742596369)
      0.5999997742596369
mbl   extractionPatterns(tool, fragments were used as _
0.3999998927496764)     0.3999998927496764
mbl   extractionPatterns(tool, grinders , electric _ 0.5000000902799808)
      0.5000000902799808
mbl   extractionPatterns(tool, guns , electric _ 0.19999998248682085)
      0.19999998248682085
mbl   extractionPatterns(tool, hand tools including _
0.19999998248682085)    0.19999998248682085
mbl   extractionPatterns(tool, human genes as _ 0.13333333607230202)
      0.13333333607230202
mbl   extractionPatterns(tool, Key parameters of _ 0.13333333607230202)
      0.13333333607230202
mbl   extractionPatterns(tool, lists using standard _
0.13333333607230202)    0.13333333607230202
mbl   extractionPatterns(tool, mob wielding _ 0.250000090279989)
      0.250000090279989
mbl   extractionPatterns(tool, oligonucleotides were used as _
0.2727272683991621)     0.2727272683991621
mbl   extractionPatterns(tool, PCR products were used as _
0.6999999607571137)     0.6999999607571137
mbl   extractionPatterns(tool, people wielding _ 0.11428568004223633)
      0.11428568004223633
mbl   extractionPatterns(tool, power equipment , including _
0.250000090279989)      0.250000090279989
mbl   extractionPatterns(tool, power equipment including _
0.2666666239952886)     0.2666666239952886
mbl   extractionPatterns(tool, power equipment , such as _
0.13333333607230202)    0.13333333607230202
mbl   extractionPatterns(tool, power tools including _
0.23076924664463755)    0.23076924664463755
mbl   extractionPatterns(tool, power tools , like _ 0.5000000902799808)
      0.5000000902799808
mbl   extractionPatterns(tool, rocks with small _ 0.13333333607230202)
      0.13333333607230202
mbl   extractionPatterns(tool, saws , electric _ 0.13333333607230202)
      0.13333333607230202
mbl   extractionPatterns(tool, short handled _ 0.10666662099803373)
      0.10666662099803373
mbl   extractionPatterns(tool, _ slung behind 0.19999998248682085)
      0.19999998248682085
mbl   extractionPatterns(tool, stone tools include _ 0.3999998927496764)
      0.3999998927496764
mbl   extractionPatterns(tool, test equipment , including _
0.11111106414847875)    0.11111106414847875
mbl   extractionPatterns(tool, test equipment including _
0.2368420063555864)     0.2368420063555864
mbl   extractionPatterns(tool, types of hand-held _ 0.2727272683991621)
      0.2727272683991621
mbl   extractionPatterns(tool, _ used blades 0.09523811972985817)
      0.09523811972985817
mbl   extractionPatterns(tool, wire cutting _ 0.12307688962656467)
      0.12307688962656467
mbl   extractionPatterns(tool, workers , armed with _
0.37500009487940933)    0.37500009487940933
mbl   extractionPatterns(tool, workers wielding _ 0.13333333607230202)
      0.13333333607230202
mbl   extractionPatterns(tool, workmen with _ 0.09803918826375141)
      0.09803918826375141
mbl   extractionPatterns(trait, act of considerable _ 0.3333334295560505)
      0.3333334295560505
mbl   extractionPatterns(trait, act of extraordinary _
0.29629639239245803)    0.29629639239245803
mbl   extractionPatterns(trait, act of great _ 0.25999990847133453)
      0.25999990847133453
mbl   extractionPatterns(trait, act of immense _ 0.3333334295560505)
      0.3333334295560505
mbl   extractionPatterns(trait, act of incredible _ 0.357143006136159)
      0.357143006136159
mbl   extractionPatterns(trait, act of selfless _ 0.33928561642511174)
      0.33928561642511174
mbl   extractionPatterns(trait, acts of great _ 0.35238110655233906)
      0.35238110655233906
mbl   extractionPatterns(trait, acts of selfless _ 0.452380789124354)
      0.452380789124354
mbl   extractionPatterns(trait, acts of tremendous _ 0.3333334295560505)
      0.3333334295560505
mbl   extractionPatterns(trait, amazing acts of _ 0.4583331305436001)
      0.4583331305436001
mbl   extractionPatterns(trait, chief act of _ 0.4666666909552191)
      0.4666666909552191
mbl   extractionPatterns(trait, countless acts of _ 0.3015872253536089)
      0.3015872253536089
mbl   extractionPatterns(trait, example of extraordinary _
0.5576922455625736)     0.5576922455625736
mbl   extractionPatterns(trait, extraordinary act of _
0.28915656215383434)    0.28915656215383434
mbl   extractionPatterns(trait, extraordinary acts of _
0.26874991925145825)    0.26874991925145825
mbl   extractionPatterns(trait, Great is thy _ 0.5999997742596369)
      0.5999997742596369
mbl   extractionPatterns(trait, high character for _ 0.32000009062028956)
      0.32000009062028956
mbl   extractionPatterns(trait, incredible acts of _ 0.3703702863001145)
      0.3703702863001145
mbl   extractionPatterns(trait, infused virtue of _ 0.4666666909552191)
      0.4666666909552191
mbl   extractionPatterns(trait, _ is the chief virtue 0.3333334295560505)
      0.3333334295560505
mbl   extractionPatterns(trait, little acts of _ 0.44805199187876527)
      0.44805199187876527
mbl   extractionPatterns(trait, many acts of _ 0.2745491448487113)
      0.2745491448487113
mbl   extractionPatterns(trait, Many acts of _ 0.2857142767129624)
      0.2857142767129624
mbl   extractionPatterns(trait, many deeds of _ 0.32142854984110286)
      0.32142854984110286
mbl   extractionPatterns(trait, many individual acts of _
0.3333334295560505)    0.3333334295560505
mbl   extractionPatterns(trait, military award for _ 0.3333334295560505)
      0.3333334295560505
mbl   extractionPatterns(trait, military honor for _ 0.30769230656666036)
      0.30769230656666036
mbl   extractionPatterns(trait, Orange stands for _ 0.4615384099539175)
      0.4615384099539175
mbl   extractionPatterns(trait, outstanding act of _ 0.30769230656666036)
      0.30769230656666036
mbl   extractionPatterns(trait, outstanding acts of _
0.43749981326824455)   0.43749981326824455
mbl   extractionPatterns(trait, person of ordinary _ 0.27450988712799185)
      0.27450988712799185
mbl   extractionPatterns(trait, person of reasonable _
0.31249994056428093)   0.31249994056428093
mbl   extractionPatterns(trait, qualities included _ 0.2916665737103659)
      0.2916665737103659
mbl   extractionPatterns(trait, random acts of _ 0.47792187560757254)
      0.47792187560757254
mbl   extractionPatterns(trait, remarkable act of _ 0.3333334295560505)
      0.3333334295560505
mbl   extractionPatterns(trait, remarkable acts of _ 0.5000000902799808)
      0.5000000902799808
mbl   extractionPatterns(trait, selfless acts of _ 0.28750012038913564)
      0.28750012038913564
mbl   extractionPatterns(trait, simple acts of _ 0.3707482567242869)
      0.3707482567242869
mbl   extractionPatterns(trait, small act of _ 0.39575972774202145)
      0.39575972774202145
mbl   extractionPatterns(trait, small acts of _ 0.47979804653500197)
      0.47979804653500197
mbl   extractionPatterns(trait, story of immense _ 0.3333334295560505)
      0.3333334295560505
mbl   extractionPatterns(trait, story of incredible _ 0.2592591858756811)
      0.2592591858756811
mbl   extractionPatterns(trait, tremendous acts of _ 0.4666666909552191)
      0.4666666909552191
mbl   extractionPatterns(trait, unexpected act of _ 0.6052631238772754)
      0.6052631238772754
mbl   extractionPatterns(trait, unexpected acts of _ 0.5769232712996127)
      0.5769232712996127
mbl   extractionPatterns(trait, unselfish acts of _ 0.43749981326824455)
      0.43749981326824455
mbl   extractionPatterns(trait, virtues like _ 0.25624993556069736)
      0.25624993556069736
mbl   extractionPatterns(trait, virtues such as _ 0.2610294611657489)
      0.2610294611657489
mbl   extractionPatterns(trait, wonderful act of _ 0.36000008911152426)
      0.36000008911152426
mbl   extractionPatterns(trait, wonderful acts of _ 0.2727272683991621)
      0.2727272683991621
mbl   extractionPatterns(university, AB degree from _ 0.4067795038201418)
      0.4067795038201418
mbl   extractionPatterns(university, A.B. degree from _
0.44736833858929403)   0.44736833858929403
mbl   extractionPatterns(university, aerospace engineering from _
0.3831774811033891)    0.3831774811033891
mbl   extractionPatterns(university, African-American studies at _
0.4038462672695946)    0.4038462672695946
mbl   extractionPatterns(university, applied physics from _
0.37333318525484244)   0.37333318525484244
mbl   extractionPatterns(university, Architecture degree from _
0.3403141899466772)    0.3403141899466772
mbl   extractionPatterns(university, B.A. cum laude from _
0.4038462672695946)    0.4038462672695946
mbl   extractionPatterns(university, BA degree from _
0.38130831705153534)   0.38130831705153534
mbl   extractionPatterns(university, B.A. degree from _
0.3860466738952824)    0.3860466738952824
mbl   extractionPatterns(university, B.A. from _ 0.3786908901305443)
      0.3786908901305443
mbl   extractionPatterns(university, BA from _ 0.3811112316025982)
      0.3811112316025982
mbl   extractionPatterns(university, B.A. magna cum laude from _
0.4067795038201418)    0.4067795038201418
mbl   extractionPatterns(university, B.A. summa cum laude from _
0.4067795038201418)    0.4067795038201418
mbl   extractionPatterns(university, biomedical engineering from _
0.449999863298018)     0.449999863298018
mbl   extractionPatterns(university, biophysics from _
0.42045450418019903)   0.42045450418019903
mbl   extractionPatterns(university, B.M. degree from _
0.4038462672695946)    0.4038462672695946
mbl   extractionPatterns(university, broadcast journalism from _
0.44067792462695404)   0.44067792462695404
mbl   extractionPatterns(university, BSEE degree from _
0.36521721237704413)   0.36521721237704413
mbl   extractionPatterns(university, BSEE from _ 0.39204564682062426)
      0.39204564682062426
mbl   extractionPatterns(university, chemical engineering from _
0.34204806871423543)   0.34204806871423543
mbl   extractionPatterns(university, comparative literature at _
0.29365079197911415)   0.29365079197911415
mbl   extractionPatterns(university, comparative literature from _
0.4065042072944442)    0.4065042072944442
mbl   extractionPatterns(university, computer engineering from _
0.2818791065893279)    0.2818791065893279
mbl   extractionPatterns(university, computer science professor at _
0.37724554143466615)   0.37724554143466615
mbl   extractionPatterns(university, degree summa cum laude from _
0.4615384099539175)    0.4615384099539175
mbl   extractionPatterns(university, developmental psychology from _
0.3999998927496764)    0.3999998927496764
mbl   extractionPatterns(university, educational administration from _
0.3999998927496764)    0.3999998927496764
mbl   extractionPatterns(university, electrical engineering from _
0.11234486351483229)   0.11234486351483229
mbl   extractionPatterns(university, finance professor at _
0.3827160303185939)    0.3827160303185939
mbl   extractionPatterns(university, industrial engineering from _
0.39473682577270125)   0.39473682577270125
mbl   extractionPatterns(university, industrial management from _
0.4230770352867159)    0.4230770352867159
mbl   extractionPatterns(university, international affairs from _
0.4144143335303592)    0.4144143335303592
mbl   extractionPatterns(university, international relations from _
0.2843751391381588)    0.2843751391381588
mbl   extractionPatterns(university, magna cum laude , from _
0.39062510097324393)   0.39062510097324393
mbl   extractionPatterns(university, Magna Cum Laude graduate of _
0.42372865213457256)   0.42372865213457256
mbl   extractionPatterns(university, mechanical engineering from _
0.32328758365969834)   0.32328758365969834
mbl   extractionPatterns(university, MS degrees from _
0.38260888483117295)   0.38260888483117295
mbl   extractionPatterns(university, MSEE from _ 0.43127945996822287)
      0.43127945996822287
mbl   extractionPatterns(university, one-year fellowship at _
0.15086211575945283)   0.15086211575945283
mbl   extractionPatterns(university, operations research from _
0.4144735990174354)    0.4144735990174354
mbl   extractionPatterns(university, PhD degrees from _
0.34523808448629006)   0.34523808448629006
mbl   extractionPatterns(university, PhD from _ 0.11860946375839859)
      0.11860946375839859
mbl   extractionPatterns(university, Phi Beta Kappa graduate of _
0.3344593270769099)    0.3344593270769099
mbl   extractionPatterns(university, postdoctoral research at _
0.11594202468607816)   0.11594202468607816
mbl   extractionPatterns(university, public administration from _
0.3202613172602099)    0.3202613172602099
mbl   extractionPatterns(university, public policy from _
0.1138789769718487)    0.1138789769718487
mbl   extractionPatterns(university, senior thesis at _
0.40277789419248705)   0.40277789419248705
mbl   extractionPatterns(university, summa cum laude , from _
0.36666670658338996)   0.36666670658338996
mbl   extractionPatterns(university, systems engineering from _
0.37234032156725555)    0.37234032156725555
mbl   extractionPatterns(university, undergraduate degree is from _
0.397196165771883)      0.397196165771883
mbl   extractionPatterns(vehicle, airfare , rental _ 0.8356160848696621)
      0.8356160848696621
mbl   extractionPatterns(vehicle, Buying used _ 0.6811593541405603)
      0.6811593541405603
mbl   extractionPatterns(vehicle, CAFE standards for _
0.4390245258182301)     0.4390245258182301
mbl   extractionPatterns(vehicle, car parts , used _ 0.6923075400867749)
      0.6923075400867749
mbl   extractionPatterns(vehicle, cars , hybrid _ 0.5844155447240453)
      0.5844155447240453
mbl   extractionPatterns(vehicle, cars , new _ 0.5140493533221189)
      0.5140493533221189
mbl   extractionPatterns(vehicle, cars salvaged _ 0.7500000543388377)
      0.7500000543388377
mbl   extractionPatterns(vehicle, cars , used _ 0.8215824346819458)
      0.8215824346819458
mbl   extractionPatterns(vehicle, _ chase sequence 0.6744187973373662)
      0.6744187973373662
mbl   extractionPatterns(vehicle, cheap used _ 0.2691525391663944)
      0.2691525391663944
mbl   extractionPatterns(vehicle, Cheap used _ 0.6681036184732752)
      0.6681036184732752
mbl   extractionPatterns(vehicle, classic used _ 0.45794371290857916)
      0.45794371290857916
mbl   extractionPatterns(vehicle, dealer selling used _
0.416666557230806)      0.416666557230806
mbl   extractionPatterns(vehicle, dealers of used _ 0.5909091475753722)
      0.5909091475753722
mbl   extractionPatterns(vehicle, dealer with new _ 0.7526883610459676)
      0.7526883610459676
mbl   extractionPatterns(vehicle, _ detached garage 0.5845412075744334)
      0.5845412075744334
mbl   extractionPatterns(vehicle, drivers of large _ 0.39024403686422865)
      0.39024403686422865
mbl   extractionPatterns(vehicle, fleet of electric _ 0.4117647861768502)
      0.4117647861768502
mbl   extractionPatterns(vehicle, fleet of heavy _ 0.416666557230806)
      0.416666557230806
mbl   extractionPatterns(vehicle, fuel economy standards for _
0.43689342165703704)    0.43689342165703704
mbl   extractionPatterns(vehicle, _ hire company 0.5817491138789213)
      0.5817491138789213
mbl   extractionPatterns(vehicle, hotel , rental _ 0.8492064107649561)
      0.8492064107649561
mbl   extractionPatterns(vehicle, hydrogen powered _ 0.1515150983382487)
      0.1515150983382487
mbl   extractionPatterns(vehicle, large inventory of used _
0.7241382150870928)     0.7241382150870928
mbl   extractionPatterns(vehicle, listings of used _ 0.8219177087065461)
      0.8219177087065461
mbl   extractionPatterns(vehicle, manufacturer of agricultural _
0.44736833858929403)    0.44736833858929403
mbl   extractionPatterns(vehicle, manufacturers of heavy _
0.48275837948961253)    0.48275837948961253
mbl   extractionPatterns(vehicle, mileage standards for _
0.38000000997944827)    0.38000000997944827
mbl   extractionPatterns(vehicle, motorcycles , used _
0.5925926777864048)     0.5925926777864048
mbl   extractionPatterns(vehicle, mousetrap powered _ 0.5968992143652334)
      0.5968992143652334
mbl   extractionPatterns(vehicle, muscle car , classic _
0.9090910725494009)     0.9090910725494009
mbl   extractionPatterns(vehicle, new car , used _ 0.9423080885206455)
      0.9423080885206455
mbl   extractionPatterns(vehicle, new trucks , new _ 0.519480502721947)
      0.519480502721947
mbl   extractionPatterns(vehicle, _ parked along 0.2644320395547111)
      0.2644320395547111
mbl   extractionPatterns(vehicle, parking lot full of _
0.3714284614960848)     0.3714284614960848
mbl   extractionPatterns(vehicle, people riding _ 0.1417769827488714)
      0.1417769827488714
mbl   extractionPatterns(vehicle, quality enclosed _ 0.48275837948961253)
      0.48275837948961253
mbl   extractionPatterns(vehicle, quality used _ 0.2819070140022744)
      0.2819070140022744
mbl   extractionPatterns(vehicle, sales of hybrid _ 0.5555553693900973)
      0.5555553693900973
mbl   extractionPatterns(vehicle, Sales of large _ 0.42105281578387377)
      0.42105281578387377
mbl   extractionPatterns(vehicle, Salvage used _ 0.3478259736519537)
      0.3478259736519537
mbl   extractionPatterns(vehicle, Search used _ 0.7884265724476885)
      0.7884265724476885
mbl   extractionPatterns(vehicle, sedans , stretch _ 0.8888889205834525)
      0.8888889205834525
mbl   extractionPatterns(vehicle, selection of used _ 0.5795107881896678)
      0.5795107881896678
mbl   extractionPatterns(vehicle, trailers , dump _ 0.8571425827091225)
      0.8571425827091225
mbl   extractionPatterns(vehicle, trailers , used _ 0.4666666909552191)
      0.4666666909552191
mbl   extractionPatterns(vehicle, trucks , large _ 0.39130420640595476)
      0.39130420640595476
mbl   extractionPatterns(vehicle, trucks , used _ 0.6026938033676701)
      0.6026938033676701
mbl   extractionPatterns(vehicle, vehicles , agricultural _
0.3999998927496764)     0.3999998927496764
mbl   extractionPatterns(vehicle, vehicles towing _ 0.42105281578387377)
      0.42105281578387377
uncoupled_cpl    extractionPatterns(academicField, advancements in _
0.21581904004482122)    0.21581904004482122
uncoupled_cpl    extractionPatterns(academicField, Arts degree in _
0.15061550711894223)    0.15061550711894223
uncoupled_cpl    extractionPatterns(academicField,   assistant professor of
_ 0.26396229711316244) 0.26396229711316244
uncoupled_cpl    extractionPatterns(academicField,   associate professor of
_ 0.25728753661124665) 0.25728753661124665
uncoupled_cpl    extractionPatterns(academicField,   Bachelor of _
0.3765177831708958)    0.3765177831708958
uncoupled_cpl    extractionPatterns(academicField,   Bachelors degree in _
0.15508777996624667)   0.15508777996624667
uncoupled_cpl    extractionPatterns(academicField,   background in _
0.20156124467105577)   0.20156124467105577
uncoupled_cpl    extractionPatterns(academicField,   backgrounds in _
0.19797569665261444)   0.19797569665261444
uncoupled_cpl    extractionPatterns(academicField,   B.A. degree in _
0.19235224084897293)   0.19235224084897293
uncoupled_cpl    extractionPatterns(academicField,   BA degree in _
0.21203943658131977)   0.21203943658131977
uncoupled_cpl    extractionPatterns(academicField,   B.A. in _
0.23975229327212466)   0.23975229327212466
uncoupled_cpl    extractionPatterns(academicField,   BS degree in _
0.14979763436195212)   0.14979763436195212
uncoupled_cpl    extractionPatterns(academicField,   B.S. degree in _
0.15988107841646262)   0.15988107841646262
uncoupled_cpl    extractionPatterns(academicField,   college of _
0.2014743904930224)    0.2014743904930224
uncoupled_cpl    extractionPatterns(academicField,   _ contained in
0.23650711191029108)   0.23650711191029108
uncoupled_cpl    extractionPatterns(academicField,   coursework in _
0.19933210020127085)   0.19933210020127085
uncoupled_cpl    extractionPatterns(academicField,   dean of _
0.21143429303360928)   0.21143429303360928
uncoupled_cpl    extractionPatterns(academicField,   degree programs in _
0.228979911954109)     0.228979911954109
uncoupled_cpl    extractionPatterns(academicField,   degrees in _
0.24715663340450642)   0.24715663340450642
uncoupled_cpl    extractionPatterns(academicField,   department of _
0.20988489869070973)   0.20988489869070973
uncoupled_cpl    extractionPatterns(academicField,   diploma in _
0.21010392284128326)   0.21010392284128326
uncoupled_cpl    extractionPatterns(academicField,   disciplines of _
0.23873168848684373)   0.23873168848684373
uncoupled_cpl    extractionPatterns(academicField,   doctorate in _
0.23478173116416926)   0.23478173116416926
uncoupled_cpl    extractionPatterns(academicField,   Faculty of _
0.20909993152970374)   0.20909993152970374
uncoupled_cpl    extractionPatterns(academicField,   graduate program in _
0.236287026254872)     0.236287026254872
uncoupled_cpl    extractionPatterns(academicField,   graduate programs in _
0.21360751284912619)   0.21360751284912619
uncoupled_cpl    extractionPatterns(academicField,   graduate student in _
0.2138669898403907)    0.2138669898403907
uncoupled_cpl    extractionPatterns(academicField,   graduate studies in _
0.23150217737326848)   0.23150217737326848
uncoupled_cpl    extractionPatterns(academicField,   graduate study in _
0.23337352440260345)   0.23337352440260345
uncoupled_cpl    extractionPatterns(academicField, graduate work in _
0.23022158978859894)   0.23022158978859894
uncoupled_cpl    extractionPatterns(academicField, Honours degree in _
0.16518850543620947)   0.16518850543620947
uncoupled_cpl    extractionPatterns(academicField, institute of _
0.19184203115568327)   0.19184203115568327
uncoupled_cpl    extractionPatterns(academicField, institutions of _
0.301134280227432)     0.301134280227432
uncoupled_cpl    extractionPatterns(academicField, lecturer in _
0.22755256780689725)   0.22755256780689725
uncoupled_cpl    extractionPatterns(academicField, majoring in _
0.3175277699705537)    0.3175277699705537
uncoupled_cpl    extractionPatterns(academicField, majors in _
0.22008311687554033)   0.22008311687554033
uncoupled_cpl    extractionPatterns(academicField, Master of _
0.24687626976205698)   0.24687626976205698
uncoupled_cpl    extractionPatterns(academicField, masters degree in _
0.2273276295676303)    0.2273276295676303
uncoupled_cpl    extractionPatterns(academicField, Masters degree in _
0.2618658314730681)    0.2618658314730681
uncoupled_cpl    extractionPatterns(academicField, masters in _
0.2000391863252389)    0.2000391863252389
uncoupled_cpl    extractionPatterns(academicField, minors in _
0.2436518297434777)    0.2436518297434777
uncoupled_cpl    extractionPatterns(academicField, profession of _
0.21012472415929276)   0.21012472415929276
uncoupled_cpl    extractionPatterns(academicField, professors of _
0.19104352448704112)   0.19104352448704112
uncoupled_cpl    extractionPatterns(academicField, proficiency in _
0.19407511580272258)   0.19407511580272258
uncoupled_cpl    extractionPatterns(academicField, rule of _
0.28406874791270936)   0.28406874791270936
uncoupled_cpl    extractionPatterns(academicField, School of _
0.2808583020497415)    0.2808583020497415
uncoupled_cpl    extractionPatterns(academicField, Science degree in _
0.24498703211037384)   0.24498703211037384
uncoupled_cpl    extractionPatterns(academicField, subjects such as _
0.19959219880736814)   0.19959219880736814
uncoupled_cpl    extractionPatterns(academicField, undergraduate degree
in _ 0.134657063887191)      0.134657063887191
uncoupled_cpl    extractionPatterns(academicField, wealth of _
0.281621586790381)     0.281621586790381
uncoupled_cpl    extractionPatterns(acquired, arg1 acquired arg2
0.012503996072031093) 0.012503996072031093
uncoupled_cpl    extractionPatterns(acquired, arg1 acquisition of arg2
0.014084505310441175) 0.014084505310441175
uncoupled_cpl    extractionPatterns(acquired, arg1 agreed to buy arg2
0.019379838614100205) 0.019379838614100205
uncoupled_cpl    extractionPatterns(acquired, arg1 announced it was
buying arg2 0.01593624825517103) 0.01593624825517103
uncoupled_cpl    extractionPatterns(acquired, arg1 announced their
acquisition of arg2 0.03317535493338992)       0.03317535493338992
uncoupled_cpl    extractionPatterns(acquired, arg1 bought arg2
0.0031821315754499784) 0.0031821315754499784
uncoupled_cpl    extractionPatterns(acquired, arg1 bought out arg2
0.01624129834649432)   0.01624129834649432
uncoupled_cpl    extractionPatterns(acquired, arg1 buyout of arg2
0.03791467646621095)   0.03791467646621095
uncoupled_cpl    extractionPatterns(acquired, arg1 Congress from arg2
0.019354835385506163) 0.019354835385506163
uncoupled_cpl    extractionPatterns(acquired, arg1 decided to buy arg2
0.02439024552937341)   0.02439024552937341
uncoupled_cpl    extractionPatterns(acquired, arg1 did buy arg2
0.014598536427273165) 0.014598536427273165
uncoupled_cpl    extractionPatterns(acquired, arg1 excluding Hawaii and
arg2 0.01290322498528133)    0.01290322498528133
uncoupled_cpl    extractionPatterns(acquired, arg1 has bought arg2
0.0036927604912785276) 0.0036927604912785276
uncoupled_cpl    extractionPatterns(acquired, arg1 in talks to buy arg2
0.01824817872178812)   0.01824817872178812
uncoupled_cpl    extractionPatterns(acquired, arg1 intends to integrate
arg2 0.02439024552937341)    0.02439024552937341
uncoupled_cpl    extractionPatterns(acquired, arg1 is acquiring arg2
0.01277955053572239)   0.01277955053572239
uncoupled_cpl    extractionPatterns(acquired, arg1 is buying arg2
0.0028155799986970677) 0.0028155799986970677
uncoupled_cpl    extractionPatterns(acquired, arg1 is going to acquire
arg2 0.01593624825517103)    0.01593624825517103
uncoupled_cpl    extractionPatterns(acquired, arg1 is going to buy arg2
0.01992031925692598)   0.01992031925692598
uncoupled_cpl    extractionPatterns(acquired, arg1 is the parent company
of arg2 0.015503879438786849)      0.015503879438786849
uncoupled_cpl    extractionPatterns(acquired, arg1 just bought arg2
0.023913048659853754) 0.023913048659853754
uncoupled_cpl    extractionPatterns(acquired, arg1 merger with arg2
0.023696687702416834) 0.023696687702416834
uncoupled_cpl    extractionPatterns(acquired, arg1 might buy arg2
0.019379838614100205) 0.019379838614100205
uncoupled_cpl    extractionPatterns(acquired, arg1 now owns arg2
0.004447740787159865) 0.004447740787159865
uncoupled_cpl    extractionPatterns(acquired, arg1 owns arg2
0.0027423858206242326) 0.0027423858206242326
uncoupled_cpl    extractionPatterns(acquired, arg1 purchase of arg2
0.005899704583011845) 0.005899704583011845
uncoupled_cpl    extractionPatterns(acquired, arg1 recently acquired arg2
0.013698636180116276) 0.013698636180116276
uncoupled_cpl    extractionPatterns(acquired, arg1 recently bought arg2
0.016304355471863895) 0.016304355471863895
uncoupled_cpl    extractionPatterns(acquired, arg1 recently purchased
arg2 0.01257861662465769)    0.01257861662465769
uncoupled_cpl    extractionPatterns(acquired, arg1 snapped up arg2
0.01290322498528133)   0.01290322498528133
uncoupled_cpl    extractionPatterns(acquired, arg1 snaps up arg2
0.01593624825517103)   0.01593624825517103
uncoupled_cpl    extractionPatterns(acquired, arg1 subsidiary arg2
0.00213037981128454)   0.00213037981128454
uncoupled_cpl    extractionPatterns(acquired, arg1 territories of arg2
0.02052786597536012)   0.02052786597536012
uncoupled_cpl    extractionPatterns(acquired, arg1 territory of arg2
0.013259672405462573) 0.013259672405462573
uncoupled_cpl    extractionPatterns(acquired, arg1 to Acquire arg2
0.015306128120854223) 0.015306128120854223
uncoupled_cpl    extractionPatterns(acquired, arg1 was going to buy arg2
0.01290322498528133)   0.01290322498528133
uncoupled_cpl    extractionPatterns(acquired, arg2 acquisition by arg1
0.002250985857140956) 0.002250985857140956
uncoupled_cpl    extractionPatterns(acquired, arg2 and the continental
arg1 0.020304575992247016)   0.020304575992247016
uncoupled_cpl    extractionPatterns(acquired, arg2 being acquired by arg1
0.014662750217734773) 0.014662750217734773
uncoupled_cpl    extractionPatterns(acquired, arg2 has been acquired by
arg1 0.01910827101936908)    0.01910827101936908
uncoupled_cpl    extractionPatterns(acquired, arg2 has been bought by
arg1 0.023696687702416834)   0.023696687702416834
uncoupled_cpl    extractionPatterns(acquired, arg2 is now owned by arg1
0.01615168339114039)   0.01615168339114039
uncoupled_cpl    extractionPatterns(acquired, arg2 parent company arg1
0.020325195599559615) 0.020325195599559615
uncoupled_cpl    extractionPatterns(acquired, arg2 territory to arg1
0.02346040904642071)   0.02346040904642071
uncoupled_cpl    extractionPatterns(acquired, arg2 was acquired by arg1
0.012709176339643087) 0.012709176339643087
uncoupled_cpl    extractionPatterns(acquired, arg2 was bought by arg1
0.002166377199293609) 0.002166377199293609
uncoupled_cpl    extractionPatterns(acquired, arg2 was bought out by arg1
0.027777776068225332) 0.027777776068225332
uncoupled_cpl    extractionPatterns(acquired, arg2 was ceded to arg1
0.015254236671308341) 0.015254236671308341
uncoupled_cpl    extractionPatterns(acquired, arg2 was recently acquired
by arg1 0.019379838614100205)      0.019379838614100205
uncoupled_cpl    extractionPatterns(acquired, arg2 which is owned by arg1
0.02625819889119224)   0.02625819889119224
uncoupled_cpl    extractionPatterns(actor, agency of _
0.06037283662195293)   0.06037283662195293
uncoupled_cpl    extractionPatterns(actor, ally of _
0.056816017202830915) 0.056816017202830915
uncoupled_cpl    extractionPatterns(actor, calls from _
0.11716114313834514)   0.11716114313834514
uncoupled_cpl    extractionPatterns(actor, celebrities like _
0.06734760077480532)   0.06734760077480532
uncoupled_cpl    extractionPatterns(actor, charge of _
0.06659505189944454)   0.06659505189944454
uncoupled_cpl    extractionPatterns(actor, confrontation with _
0.07665380758093714)   0.07665380758093714
uncoupled_cpl    extractionPatterns(actor, crimes against _
0.1332029998144421)    0.1332029998144421
uncoupled_cpl    extractionPatterns(actor, delegation of _
0.1325692670452159)    0.1325692670452159
uncoupled_cpl    extractionPatterns(actor, difference between _
0.08148673766612233)   0.08148673766612233
uncoupled_cpl    extractionPatterns(actor, discrimination against _
0.25294505190226524)   0.25294505190226524
uncoupled_cpl    extractionPatterns(actor, _ dressed as
0.09102118475985983)   0.09102118475985983
uncoupled_cpl    extractionPatterns(actor, film starring _
0.1537974195514968)    0.1537974195514968
uncoupled_cpl    extractionPatterns(actor, film stars _
0.11872457075611276)   0.11872457075611276
uncoupled_cpl    extractionPatterns(actor, _ has focused on
0.17768801344137436)   0.17768801344137436
uncoupled_cpl    extractionPatterns(actor, hordes of _
0.13136993556312543)   0.13136993556312543
uncoupled_cpl    extractionPatterns(actor, influx of _
0.11524776383808905)   0.11524776383808905
uncoupled_cpl    extractionPatterns(actor, large numbers of _
0.1931602738965921)    0.1931602738965921
uncoupled_cpl    extractionPatterns(actor, lines of _
0.07687996266093834)   0.07687996266093834
uncoupled_cpl    extractionPatterns(actor, movie starring _
0.05689003983550591)   0.05689003983550591
uncoupled_cpl    extractionPatterns(actor, movie , starring _
0.06147541132321671)   0.06147541132321671
uncoupled_cpl    extractionPatterns(actor, movie stars _
0.06504649220981802)   0.06504649220981802
uncoupled_cpl    extractionPatterns(actor, negotiations with _
0.08853024800467552)   0.08853024800467552
uncoupled_cpl    extractionPatterns(actor, oppression of _
0.24417746560579442)   0.24417746560579442
uncoupled_cpl    extractionPatterns(actor, overthrow of _
0.09812795388951732)   0.09812795388951732
uncoupled_cpl    extractionPatterns(actor, participation of _
0.08749164289074315)   0.08749164289074315
uncoupled_cpl    extractionPatterns(actor, persecution of _
0.1632130298291084)    0.1632130298291084
uncoupled_cpl    extractionPatterns(actor, point in _
0.15555280857992254)   0.15555280857992254
uncoupled_cpl    extractionPatterns(actor, presence of _
0.056034483554577824) 0.056034483554577824
uncoupled_cpl    extractionPatterns(actor, race of _ 0.16058931683693728)
      0.16058931683693728
uncoupled_cpl    extractionPatterns(actor, reach of _ 0.1184687578503946)
      0.1184687578503946
uncoupled_cpl    extractionPatterns(actor, reign of _
0.11736553308492814)   0.11736553308492814
uncoupled_cpl    extractionPatterns(actor, relationship of _
0.09197605569430835)   0.09197605569430835
uncoupled_cpl    extractionPatterns(actor, relations with _
0.06238265543603632)   0.06238265543603632
uncoupled_cpl    extractionPatterns(actor, roles for _
0.09624685323606166)   0.09624685323606166
uncoupled_cpl    extractionPatterns(actor, rule of _ 0.2858040050824671)
      0.2858040050824671
uncoupled_cpl    extractionPatterns(actor, sex with _
0.09341736782658408)   0.09341736782658408
uncoupled_cpl    extractionPatterns(actor, _ stars as
0.08592907777471531)   0.08592907777471531
uncoupled_cpl    extractionPatterns(actor, stars like _
0.07873173221964888)   0.07873173221964888
uncoupled_cpl    extractionPatterns(actor, stars such as _
0.06447491793722185)   0.06447491793722185
uncoupled_cpl    extractionPatterns(actor, tensions between _
0.08858417934613702)   0.08858417934613702
uncoupled_cpl    extractionPatterns(actor, threat from _
0.057335803927872436) 0.057335803927872436
uncoupled_cpl    extractionPatterns(actor, thriller starring _
0.04494382061178648)   0.04494382061178648
uncoupled_cpl    extractionPatterns(actor, ties with _
0.05633484605727439)   0.05633484605727439
uncoupled_cpl    extractionPatterns(actor, treaty with _
0.08330297634628986)   0.08330297634628986
uncoupled_cpl    extractionPatterns(actor, version of _
0.06896549306390277)   0.06896549306390277
uncoupled_cpl    extractionPatterns(actor, violence against _
0.560936259132142)     0.560936259132142
uncoupled_cpl    extractionPatterns(actor, war against _
0.11530321134655189)   0.11530321134655189
uncoupled_cpl    extractionPatterns(actor, war on _ 0.26562094640841083)
      0.26562094640841083
uncoupled_cpl    extractionPatterns(actor, war with _
0.07719550878529491)   0.07719550878529491
uncoupled_cpl    extractionPatterns(actor, work from _
0.13549480213845178)   0.13549480213845178
uncoupled_cpl    extractionPatterns(animal, band of _
0.16483983062888605)   0.16483983062888605
uncoupled_cpl    extractionPatterns(animal, billions of _
0.16562766364269194)   0.16562766364269194
uncoupled_cpl    extractionPatterns(animal, breed of _
0.3387106757071976)    0.3387106757071976
uncoupled_cpl    extractionPatterns(animal, breeds of _
0.42305292058298016)   0.42305292058298016
uncoupled_cpl    extractionPatterns(animal, _ caught in
0.16288839596696802)   0.16288839596696802
uncoupled_cpl    extractionPatterns(animal, certain number of _
0.16033722908696096)   0.16033722908696096
uncoupled_cpl    extractionPatterns(animal, circle of _
0.21353447157050234)   0.21353447157050234
uncoupled_cpl    extractionPatterns(animal, clusters of _
0.17287197281189814)   0.17287197281189814
uncoupled_cpl    extractionPatterns(animal, couple of _
0.20898307733176985)   0.20898307733176985
uncoupled_cpl    extractionPatterns(animal, crowd of _
0.18056887410520273)   0.18056887410520273
uncoupled_cpl    extractionPatterns(animal, crowds of _
0.16068666345598692)   0.16068666345598692
uncoupled_cpl    extractionPatterns(animal, deaths of _
0.1577053279865754)    0.1577053279865754
uncoupled_cpl    extractionPatterns(animal, destination for _
0.16386882807543215)   0.16386882807543215
uncoupled_cpl    extractionPatterns(animal, different species of _
0.20332613759218193)   0.20332613759218193
uncoupled_cpl    extractionPatterns(animal,   disease in _
0.1488742930399595)    0.1488742930399595
uncoupled_cpl    extractionPatterns(animal,   flock of _
0.10416876027872564)   0.10416876027872564
uncoupled_cpl    extractionPatterns(animal,   flocks of _
0.2355149230540926)    0.2355149230540926
uncoupled_cpl    extractionPatterns(animal,   gang of _
0.16907785325281063)   0.16907785325281063
uncoupled_cpl    extractionPatterns(animal,   habitat for _
0.15925796023532357)   0.15925796023532357
uncoupled_cpl    extractionPatterns(animal,   haven for _
0.19181881967423642)   0.19181881967423642
uncoupled_cpl    extractionPatterns(animal,   herd of _ 0.4340576151026421)
      0.4340576151026421
uncoupled_cpl    extractionPatterns(animal,   herds of _
0.5136619061956366)    0.5136619061956366
uncoupled_cpl    extractionPatterns(animal,   high number of _
0.15965468736428762)   0.15965468736428762
uncoupled_cpl    extractionPatterns(animal,   hordes of _
0.1718326913984028)    0.1718326913984028
uncoupled_cpl    extractionPatterns(animal,   huge number of _
0.15955541302626683)   0.15955541302626683
uncoupled_cpl    extractionPatterns(animal,   hundreds of _
0.21653436810590082)   0.21653436810590082
uncoupled_cpl    extractionPatterns(animal,   influx of _
0.23186429820020832)   0.23186429820020832
uncoupled_cpl    extractionPatterns(animal,   killing of _
0.17002037434924508)   0.17002037434924508
uncoupled_cpl    extractionPatterns(animal,   large group of _
0.15830907276465261)   0.15830907276465261
uncoupled_cpl    extractionPatterns(animal,   large number of _
0.1652426961527842)    0.1652426961527842
uncoupled_cpl    extractionPatterns(animal,   large numbers of _
0.18370170598592772)   0.18370170598592772
uncoupled_cpl    extractionPatterns(animal,   many species of _
0.18791829719534253)   0.18791829719534253
uncoupled_cpl    extractionPatterns(animal,   many thousands of _
0.17610673832773902)   0.17610673832773902
uncoupled_cpl    extractionPatterns(animal,   maximum number of _
0.1726149306031847)    0.1726149306031847
uncoupled_cpl    extractionPatterns(animal,   millions of _
0.18465704225755708)   0.18465704225755708
uncoupled_cpl    extractionPatterns(animal,   minimum number of _
0.16602099877189447)   0.16602099877189447
uncoupled_cpl    extractionPatterns(animal,   pack of _
0.16454503125621278)   0.16454503125621278
uncoupled_cpl    extractionPatterns(animal,   populations of _
0.15515494751569706)   0.15515494751569706
uncoupled_cpl    extractionPatterns(animal,   _ residing in
0.17243705631968206)   0.17243705631968206
uncoupled_cpl    extractionPatterns(animal,   same number of _
0.16923415338875858)   0.16923415338875858
uncoupled_cpl    extractionPatterns(animal,   several species of _
0.16257302394977602)   0.16257302394977602
uncoupled_cpl    extractionPatterns(animal, significant number of _
0.16382147682670337)   0.16382147682670337
uncoupled_cpl    extractionPatterns(animal, slaughter of _
0.159248405044368)     0.159248405044368
uncoupled_cpl    extractionPatterns(animal, small number of _
0.16593933653105725)   0.16593933653105725
uncoupled_cpl    extractionPatterns(animal, span of _
0.17841446148249063)   0.17841446148249063
uncoupled_cpl    extractionPatterns(animal, strains of _
0.16246316172320224)   0.16246316172320224
uncoupled_cpl    extractionPatterns(animal, suffering of _
0.16515761807375126)   0.16515761807375126
uncoupled_cpl    extractionPatterns(animal, swarm of _
0.12394256576404429)   0.12394256576404429
uncoupled_cpl    extractionPatterns(animal, total number of _
0.18478431480002852)   0.18478431480002852
uncoupled_cpl    extractionPatterns(animal, variety of _
0.6038985854675318)    0.6038985854675318
uncoupled_cpl    extractionPatterns(athlete, abundance of _
0.11754288890983512)   0.11754288890983512
uncoupled_cpl    extractionPatterns(athlete, alot of _
0.1647615503023867)    0.1647615503023867
uncoupled_cpl    extractionPatterns(athlete, amounts of _
0.19593506023179003)   0.19593506023179003
uncoupled_cpl    extractionPatterns(athlete, baseball great _
0.02941175072400807)   0.02941175072400807
uncoupled_cpl    extractionPatterns(athlete, basketball great _
0.023219821269669608) 0.023219821269669608
uncoupled_cpl    extractionPatterns(athlete, bid for _
0.05118708627198995)   0.05118708627198995
uncoupled_cpl    extractionPatterns(athlete, bits of _
0.1635252281395872)    0.1635252281395872
uncoupled_cpl    extractionPatterns(athlete, charge of _
0.035573119377556306) 0.035573119377556306
uncoupled_cpl    extractionPatterns(athlete, chunk of _
0.12600609502327617)   0.12600609502327617
uncoupled_cpl    extractionPatterns(athlete, deal of _
0.16924159985532877)   0.16924159985532877
uncoupled_cpl    extractionPatterns(athlete, difference between _
0.027863770009220513) 0.027863770009220513
uncoupled_cpl    extractionPatterns(athlete, extension for _
0.11549650606469111)   0.11549650606469111
uncoupled_cpl    extractionPatterns(athlete, favorite player is _
0.018726587003112014) 0.018726587003112014
uncoupled_cpl    extractionPatterns(athlete, gift of _
0.04809817713450908)   0.04809817713450908
uncoupled_cpl    extractionPatterns(athlete, _ has a coach
0.02059924199959008)   0.02059924199959008
uncoupled_cpl    extractionPatterns(athlete, _ has appeared in
0.3034519501884645)    0.3034519501884645
uncoupled_cpl    extractionPatterns(athlete, home from _
0.22844586759912475)   0.22844586759912475
uncoupled_cpl    extractionPatterns(athlete, _ is presented in
0.13809395391644166)   0.13809395391644166
uncoupled_cpl    extractionPatterns(athlete, _ is provided by
0.13750431232550372)   0.13750431232550372
uncoupled_cpl    extractionPatterns(athlete, journey of _
0.046601479007305144) 0.046601479007305144
uncoupled_cpl    extractionPatterns(athlete, lines of _
0.0659191030577725)    0.0659191030577725
uncoupled_cpl    extractionPatterns(athlete, lots of _
0.11887675438405443)   0.11887675438405443
uncoupled_cpl    extractionPatterns(athlete, maiden name was _
0.025691707616082426) 0.025691707616082426
uncoupled_cpl    extractionPatterns(athlete, masses of _
0.19268202261498804)   0.19268202261498804
uncoupled_cpl    extractionPatterns(athlete, mixture of _
0.06323470492405868)   0.06323470492405868
uncoupled_cpl    extractionPatterns(athlete, numbers of _
0.12391641664149755)   0.12391641664149755
uncoupled_cpl    extractionPatterns(athlete, parents of _
0.13808332109135912)   0.13808332109135912
uncoupled_cpl    extractionPatterns(athlete, passage of _
0.21664547873417855)   0.21664547873417855
uncoupled_cpl    extractionPatterns(athlete, passing of _
0.1330516340713847)    0.1330516340713847
uncoupled_cpl    extractionPatterns(athlete, philosophy of _
0.10984499975845022)   0.10984499975845022
uncoupled_cpl    extractionPatterns(athlete, player like _
0.040523671262163975) 0.040523671262163975
uncoupled_cpl    extractionPatterns(athlete, players like _
0.02879236589697503)   0.02879236589697503
uncoupled_cpl    extractionPatterns(athlete, players such as _
0.023019905058542758) 0.023019905058542758
uncoupled_cpl    extractionPatterns(athletePlaysForTeam, arg1 added DD
points for arg2 0.006456241123284252)    0.006456241123284252
uncoupled_cpl    extractionPatterns(athletePlaysForTeam, arg1 among
registered arg2 0.007866272207423678)    0.007866272207423678
uncoupled_cpl    extractionPatterns(athletePlaysForTeam, arg1 and the
Boston arg2 0.003276898117246725) 0.003276898117246725
uncoupled_cpl    extractionPatterns(athletePlaysForTeam, arg1 and the
Cleveland arg2 0.020016687066147554)     0.020016687066147554
uncoupled_cpl    extractionPatterns(athletePlaysForTeam, arg1 and the
Dallas arg2 0.00773694014227201) 0.00773694014227201
uncoupled_cpl    extractionPatterns(athletePlaysForTeam, arg1 and the
Indianapolis arg2 0.016329712137293367) 0.016329712137293367
uncoupled_cpl    extractionPatterns(athletePlaysForTeam, arg1 and the Los
Angeles arg2 0.008479710236382958) 0.008479710236382958
uncoupled_cpl    extractionPatterns(athletePlaysForTeam, arg1 and the New
Orleans arg2 0.008340284087018101) 0.008340284087018101
uncoupled_cpl    extractionPatterns(athletePlaysForTeam, arg1 and the New
York arg2 0.006424670073161727)    0.006424670073161727
uncoupled_cpl    extractionPatterns(athletePlaysForTeam, arg1 and the
Oakland arg2 0.004027618583078399) 0.004027618583078399
uncoupled_cpl    extractionPatterns(athletePlaysForTeam, arg1 and the San
Francisco arg2 0.003452243394467073)     0.003452243394467073
uncoupled_cpl    extractionPatterns(athletePlaysForTeam, arg1 from the
Boston arg2 0.004602990859127867) 0.004602990859127867
uncoupled_cpl    extractionPatterns(athletePlaysForTeam, arg1 had DD
points for arg2 0.0035041615588259833) 0.0035041615588259833
uncoupled_cpl    extractionPatterns(athletePlaysForTeam, arg1 leads among
arg2 0.00393313681387874)    0.00393313681387874
uncoupled_cpl    extractionPatterns(athletePlaysForTeam, arg1 led among
arg2 0.0049164232232771716) 0.0049164232232771716
uncoupled_cpl    extractionPatterns(athletePlaysForTeam, arg1 led arg2
3.264828948674824E-4) 3.264828948674824E-4
uncoupled_cpl    extractionPatterns(athletePlaysForTeam, arg1 of the
Cleveland arg2 0.0035279017142441096)    0.0035279017142441096
uncoupled_cpl    extractionPatterns(athletePlaysForTeam, arg1 of the New
Jersey arg2 0.0034364270349537054) 0.0034364270349537054
uncoupled_cpl    extractionPatterns(athletePlaysForTeam, arg1 of the New
Orleans arg2 0.0021901001622771136)      0.0021901001622771136
uncoupled_cpl    extractionPatterns(athletePlaysForTeam, arg1 plays for
arg2 0.001335113462639813)   0.001335113462639813
uncoupled_cpl    extractionPatterns(athletePlaysForTeam, arg1 scored DD
points and arg2 0.0023014958451218607) 0.0023014958451218607
uncoupled_cpl    extractionPatterns(athletePlaysForTeam, arg1 scored DD
points for arg2 0.004835590631693832)    0.004835590631693832
uncoupled_cpl    extractionPatterns(athletePlaysForTeam, arg1 scored DD
points to lead arg2 0.004835590631693832)      0.004835590631693832
uncoupled_cpl    extractionPatterns(athletePlaysForTeam, arg1 scored DD
to lead arg2 0.0031104184873336793)      0.0031104184873336793
uncoupled_cpl    extractionPatterns(athletePlaysForTeam, arg1 to the New
York arg2 2.669513836102619E-4)    2.669513836102619E-4
uncoupled_cpl    extractionPatterns(athletePlaysForTeam, arg1 was drafted
by arg2 0.0031104184873336793)     0.0031104184873336793
uncoupled_cpl    extractionPatterns(athletePlaysForTeam, arg1 won among
arg2 0.003586799422117721)   0.003586799422117721
uncoupled_cpl    extractionPatterns(athletePlaysForTeam, arg2 and
quarterback arg1 0.0020026699774547316) 0.0020026699774547316
uncoupled_cpl    extractionPatterns(athletePlaysForTeam, arg2 are led by
arg1 2.669513836102619E-4)   2.669513836102619E-4
uncoupled_cpl    extractionPatterns(athletePlaysForTeam, arg2 are without
arg1 2.669513836102619E-4)   2.669513836102619E-4
uncoupled_cpl    extractionPatterns(athletePlaysForTeam, arg2 basketball
star arg1 0.004170142796469739)    0.004170142796469739
uncoupled_cpl    extractionPatterns(athletePlaysForTeam, arg2 first
baseman arg1 0.002670226443143641) 0.002670226443143641
uncoupled_cpl    extractionPatterns(athletePlaysForTeam, arg2 forward
arg1 4.8412762402723683E-4) 4.8412762402723683E-4
uncoupled_cpl    extractionPatterns(athletePlaysForTeam, arg2 freshman
arg1 0.0046009199792241854) 0.0046009199792241854
uncoupled_cpl    extractionPatterns(athletePlaysForTeam, arg2 freshman
forward arg1 0.003586799422117721) 0.003586799422117721
uncoupled_cpl    extractionPatterns(athletePlaysForTeam, arg2 guard arg1
7.306383163011325E-4) 7.306383163011325E-4
uncoupled_cpl    extractionPatterns(athletePlaysForTeam, arg2 like
Hillary arg1 0.014749265412188337) 0.014749265412188337
uncoupled_cpl    extractionPatterns(athletePlaysForTeam, arg2 nominate
arg1 0.006456241123284252)   0.006456241123284252
uncoupled_cpl    extractionPatterns(athletePlaysForTeam, arg2 not named
arg1 0.004835590631693832)   0.004835590631693832
uncoupled_cpl    extractionPatterns(athletePlaysForTeam, arg2 outfielder
arg1 0.002670226443143641)   0.002670226443143641
uncoupled_cpl    extractionPatterns(athletePlaysForTeam, arg2 played
without arg1 0.002628121359531553) 0.002628121359531553
uncoupled_cpl    extractionPatterns(athletePlaysForTeam, arg2 playmaker
arg1 0.004170142796469739)   0.004170142796469739
uncoupled_cpl    extractionPatterns(athletePlaysForTeam, arg2 point guard
arg1 0.0035041615588259833) 0.0035041615588259833
uncoupled_cpl    extractionPatterns(athletePlaysForTeam, arg2 quarterback
arg1 0.014331949544847924)   0.014331949544847924
uncoupled_cpl    extractionPatterns(athletePlaysForTeam, arg2 slugger
arg1 7.225434509953935E-4)   7.225434509953935E-4
uncoupled_cpl    extractionPatterns(athletePlaysForTeam, arg2 star
quarterback arg1 0.004170142796469739) 0.004170142796469739
uncoupled_cpl    extractionPatterns(athletePlaysForTeam, arg2 superstar
arg1 0.001445086641065998)   0.001445086641065998
uncoupled_cpl    extractionPatterns(athletePlaysForTeam, arg2 teammate
arg1 0.002628121359531553)   0.002628121359531553
uncoupled_cpl    extractionPatterns(athletePlaysForTeam, arg2 traded for
arg1 0.001335113462639813)   0.001335113462639813
uncoupled_cpl    extractionPatterns(athletePlaysForTeam, arg2 will vote
for arg1 0.006882990883926194)     0.006882990883926194
uncoupled_cpl    extractionPatterns(athletePlaysInLeague, arg1 is the
best player in arg2 0.05172412354543181)      0.05172412354543181
uncoupled_cpl    extractionPatterns(athletePlaysInLeague, arg2 behind
arg1 1.1574247163240397E-5) 1.1574247163240397E-5
uncoupled_cpl    extractionPatterns(athletePlaysInLeague, arg2 insider
arg1 6.865771207686777E-4)   6.865771207686777E-4
uncoupled_cpl    extractionPatterns(athletePlaysInLeague, arg2 player
arg1 9.310552785382753E-5)   9.310552785382753E-5
uncoupled_cpl    extractionPatterns(athletePlaysInLeague, arg2 stars arg1
5.356187164122833E-4) 5.356187164122833E-4
uncoupled_cpl    extractionPatterns(athletePlaysInLeague, arg2 studs arg1
0.006006007864387664) 0.006006007864387664
uncoupled_cpl    extractionPatterns(athletePlaysInLeague, arg2 superstar
arg1 0.001317522763367134)   0.001317522763367134
uncoupled_cpl    extractionPatterns(athletePlaysSport, arg1 announced his
retirement from arg2 0.005988022828842948)    0.005988022828842948
uncoupled_cpl    extractionPatterns(athletePlaysSport, arg1 autographed
arg2 0.0038080729697970175) 0.0038080729697970175
uncoupled_cpl    extractionPatterns(athletePlaysSport, arg1 has done for
arg2 0.006259781491440677)   0.006259781491440677
uncoupled_cpl    extractionPatterns(athletePlaysSport, arg1 learned to
play arg2 0.004297993470319254)    0.004297993470319254
uncoupled_cpl    extractionPatterns(athletePlaysSport, arg1 retires from
arg2 0.007163325145618127)   0.007163325145618127
uncoupled_cpl    extractionPatterns(athletePlaysSport, arg1 will not play
arg2 0.004494382479129439)   0.004494382479129439
uncoupled_cpl    extractionPatterns(athletePlaysSport, arg2 ace arg1
0.0016055048878473599) 0.0016055048878473599
uncoupled_cpl    extractionPatterns(athletePlaysSport, arg2 autographed
by arg1 0.007604561609261069)      0.007604561609261069
uncoupled_cpl    extractionPatterns(athletePlaysSport, arg2 champ arg1
0.001325088538853766) 0.001325088538853766
uncoupled_cpl    extractionPatterns(athletePlaysSport, arg2 clips require
arg1 0.007604561609261069)   0.007604561609261069
uncoupled_cpl    extractionPatterns(athletePlaysSport, arg2 downloads for
arg1 0.008443469302800356)   0.008443469302800356
uncoupled_cpl    extractionPatterns(athletePlaysSport, arg2 formats
supported by arg1 0.004790420904100748) 0.004790420904100748
uncoupled_cpl    extractionPatterns(athletePlaysSport, arg2 greats arg1
0.007163325145618127) 0.007163325145618127
uncoupled_cpl    extractionPatterns(athletePlaysSport, arg2 greats as
arg1 0.00781250206187228)    0.00781250206187228
uncoupled_cpl    extractionPatterns(athletePlaysSport, arg2 greats like
arg1 0.010937500298576295)   0.010937500298576295
uncoupled_cpl    extractionPatterns(athletePlaysSport, arg2 greats such
as arg1 0.01562500130249492) 0.01562500130249492
uncoupled_cpl    extractionPatterns(athletePlaysSport, arg2 Hall of Famer
arg1 0.03281249142380767)    0.03281249142380767
uncoupled_cpl    extractionPatterns(athletePlaysSport, arg2 icon arg1
0.004855840848300402) 0.004855840848300402
uncoupled_cpl    extractionPatterns(athletePlaysSport, arg2 icons such as
arg1 0.004494382479129439)   0.004494382479129439
uncoupled_cpl    extractionPatterns(athletePlaysSport, arg2 immortal arg1
0.014062494361184702) 0.014062494361184702
uncoupled_cpl    extractionPatterns(athletePlaysSport, arg2 legend arg1
0.005042440943271146) 0.005042440943271146
uncoupled_cpl    extractionPatterns(athletePlaysSport, arg2 legends arg1
0.0076962583253371575) 0.0076962583253371575
uncoupled_cpl    extractionPatterns(athletePlaysSport, arg2 legends as
arg1 0.005988022828842948)   0.005988022828842948
uncoupled_cpl    extractionPatterns(athletePlaysSport, arg2 legends like
arg1 0.012499995433424355)   0.012499995433424355
uncoupled_cpl    extractionPatterns(athletePlaysSport, arg2 lesson from
arg1 8.833924547377752E-4)   8.833924547377752E-4
uncoupled_cpl    extractionPatterns(athletePlaysSport, arg2 megastar arg1
0.0038834940586556493) 0.0038834940586556493
uncoupled_cpl    extractionPatterns(athletePlaysSport, arg2 phenom arg1
0.005635564269198473) 0.005635564269198473
uncoupled_cpl    extractionPatterns(athletePlaysSport, arg2 pitcher arg1
0.006204298008032462) 0.006204298008032462
uncoupled_cpl    extractionPatterns(athletePlaysSport, arg2 player is
arg1 0.005279034805304273)   0.005279034805304273
uncoupled_cpl    extractionPatterns(athletePlaysSport, arg2 player like
arg1 0.0018785219653354658) 0.0018785219653354658
uncoupled_cpl    extractionPatterns(athletePlaysSport, arg2 players are
arg1 0.00838769942931075)    0.00838769942931075
uncoupled_cpl    extractionPatterns(athletePlaysSport, arg2 players
including arg1 0.010937500298576295)     0.010937500298576295
uncoupled_cpl    extractionPatterns(athletePlaysSport, arg2 players like
arg1 0.01114983031028876)    0.01114983031028876
uncoupled_cpl    extractionPatterns(athletePlaysSport, arg2 players like
the arg1 0.007079648637356595)     0.007079648637356595
uncoupled_cpl    extractionPatterns(athletePlaysSport, arg2 players other
than arg1 0.006741572989875036)    0.006741572989875036
uncoupled_cpl    extractionPatterns(athletePlaysSport, arg2 players such
as arg1 0.003636363991514822)      0.003636363991514822
uncoupled_cpl    extractionPatterns(athletePlaysSport, arg2 players such
as the arg1 0.0071856305793257455) 0.0071856305793257455
uncoupled_cpl    extractionPatterns(athletePlaysSport, arg2 player such
as an arg1 0.00619468879518381)    0.00619468879518381
uncoupled_cpl    extractionPatterns(athletePlaysSport, arg2 player such
as arg1 0.07343746876290036) 0.07343746876290036
uncoupled_cpl    extractionPatterns(athletePlaysSport, arg2 prodigy arg1
8.833924547377752E-4) 8.833924547377752E-4
uncoupled_cpl    extractionPatterns(athletePlaysSport, arg2 sensation
arg1 0.002719854208301258)   0.002719854208301258
uncoupled_cpl    extractionPatterns(athletePlaysSport, arg2 singer arg1
0.004742105706707342) 0.004742105706707342
uncoupled_cpl    extractionPatterns(athletePlaysSport, arg2 star arg1
0.0020752222969030107) 0.0020752222969030107
uncoupled_cpl    extractionPatterns(athletePlaysSport, arg2 star husband
arg1 0.020057302040200512)   0.020057302040200512
uncoupled_cpl    extractionPatterns(athletePlaysSport, arg2 stars like
arg1 8.833924547377752E-4)   8.833924547377752E-4
uncoupled_cpl    extractionPatterns(athletePlaysSport, arg2 stars such as
arg1 0.009985732048295545)   0.009985732048295545
uncoupled_cpl    extractionPatterns(athletePlaysSport, arg2 stores such
as arg1 0.0038167919990886264)     0.0038167919990886264
uncoupled_cpl    extractionPatterns(athletePlaysSport, arg2 superstar
arg1 0.00955204510782073)    0.00955204510782073
uncoupled_cpl    extractionPatterns(athletePlaysSport, arg2 superstars
arg1 0.004790420904100748)   0.004790420904100748
uncoupled_cpl    extractionPatterns(athletePlaysSport, arg2 websites like
arg1 0.0038997220407072657) 0.0038997220407072657
uncoupled_cpl    extractionPatterns(athlete, presence of _
0.028089877467922762) 0.028089877467922762
uncoupled_cpl    extractionPatterns(athlete, reach of _
0.12229403634355217)   0.12229403634355217
uncoupled_cpl    extractionPatterns(athlete, relations with _
0.06032775495309598)   0.06032775495309598
uncoupled_cpl    extractionPatterns(athlete, source of _
0.14290402898601492)   0.14290402898601492
uncoupled_cpl    extractionPatterns(athlete, sources of _
0.19331003113229514)   0.19331003113229514
uncoupled_cpl    extractionPatterns(athlete, space of _
0.11496517759441013)   0.11496517759441013
uncoupled_cpl    extractionPatterns(athlete, storage of _
0.1400144006327823)    0.1400144006327823
uncoupled_cpl    extractionPatterns(athlete, superstars like _
0.024767796446881592) 0.024767796446881592
uncoupled_cpl    extractionPatterns(athlete, _ supplied by
0.14685963680959976)   0.14685963680959976
uncoupled_cpl    extractionPatterns(athlete, _ threw for
0.04150198589495149)   0.04150198589495149
uncoupled_cpl    extractionPatterns(athlete, time at _
0.041231737149811806) 0.041231737149811806
uncoupled_cpl    extractionPatterns(athlete, tons of _
0.1474289373461416)    0.1474289373461416
uncoupled_cpl    extractionPatterns(athlete, touchdown pass from _
0.03370786790103484)   0.03370786790103484
uncoupled_cpl    extractionPatterns(athlete, version of _
0.0355805193559579)    0.0355805193559579
uncoupled_cpl    extractionPatterns(athlete, war with _
0.08595606374171166)   0.08595606374171166
uncoupled_cpl    extractionPatterns(athlete, work at _
0.08527908909205424)   0.08527908909205424
uncoupled_cpl    extractionPatterns(athlete, work from _
0.13473491816783742)   0.13473491816783742
uncoupled_cpl    extractionPatterns(awardTrophyTournament,   ads during _
0.028157008093966318) 0.028157008093966318
uncoupled_cpl    extractionPatterns(awardTrophyTournament,   amount of _
0.11537379850936462)   0.11537379850936462
uncoupled_cpl    extractionPatterns(awardTrophyTournament,   application
for _ 0.10476432241790296)   0.10476432241790296
uncoupled_cpl    extractionPatterns(awardTrophyTournament,   _ begins in
0.0987766537725238)    0.0987766537725238
uncoupled_cpl    extractionPatterns(awardTrophyTournament,   book of _
0.10266161401780657)   0.10266161401780657
uncoupled_cpl    extractionPatterns(awardTrophyTournament,   books for _
0.12248729116146481)   0.12248729116146481
uncoupled_cpl    extractionPatterns(awardTrophyTournament,   chance in _
0.12204676353848586)   0.12204676353848586
uncoupled_cpl    extractionPatterns(awardTrophyTournament,   charge of _
0.2299487088335021)    0.2299487088335021
uncoupled_cpl    extractionPatterns(awardTrophyTournament,   commercials
during _ 0.03220192646872944)      0.03220192646872944
uncoupled_cpl    extractionPatterns(awardTrophyTournament,   _ concluded
with 0.13944988354655832)    0.13944988354655832
uncoupled_cpl    extractionPatterns(awardTrophyTournament,   date of _
0.12262124296202785)   0.12262124296202785
uncoupled_cpl    extractionPatterns(awardTrophyTournament,   _ ended with
0.11992508773644368)   0.11992508773644368
uncoupled_cpl    extractionPatterns(awardTrophyTournament,   first day of _
0.11240419726549987)   0.11240419726549987
uncoupled_cpl    extractionPatterns(awardTrophyTournament,   first week of
_ 0.10674376885060338) 0.10674376885060338
uncoupled_cpl    extractionPatterns(awardTrophyTournament,   gates of _
0.11961643865050381)   0.11961643865050381
uncoupled_cpl    extractionPatterns(awardTrophyTournament,   gold medal at
_ 0.03583619008349264) 0.03583619008349264
uncoupled_cpl    extractionPatterns(awardTrophyTournament,   great deal of
_ 0.1066102092777413) 0.1066102092777413
uncoupled_cpl    extractionPatterns(awardTrophyTournament,   history at _
0.14043100197191216)   0.14043100197191216
uncoupled_cpl    extractionPatterns(awardTrophyTournament,   _ is played in
0.1307266208572892)    0.1307266208572892
uncoupled_cpl    extractionPatterns(awardTrophyTournament,   _ is played on
0.20776180993564305)   0.20776180993564305
uncoupled_cpl    extractionPatterns(awardTrophyTournament,   job after _
0.1491460875517046)    0.1491460875517046
uncoupled_cpl    extractionPatterns(awardTrophyTournament,   last day of _
0.10768639779112464)   0.10768639779112464
uncoupled_cpl    extractionPatterns(awardTrophyTournament,   last won _
0.0348128746295852)    0.0348128746295852
uncoupled_cpl    extractionPatterns(awardTrophyTournament,   length of _
0.1731572738611308)    0.1731572738611308
uncoupled_cpl    extractionPatterns(awardTrophyTournament,   medals at _
0.04712460571685742)   0.04712460571685742
uncoupled_cpl    extractionPatterns(awardTrophyTournament,   period of _
0.42239009339582434)   0.42239009339582434
uncoupled_cpl    extractionPatterns(awardTrophyTournament,   place in _
0.03916448256181952)   0.03916448256181952
uncoupled_cpl    extractionPatterns(awardTrophyTournament,   playoffs for _
0.18206837056568395)   0.18206837056568395
uncoupled_cpl    extractionPatterns(awardTrophyTournament,   point in _
0.15227487547862978)   0.15227487547862978
uncoupled_cpl    extractionPatterns(awardTrophyTournament,   reach of _
0.13277796259829874)   0.13277796259829874
uncoupled_cpl    extractionPatterns(awardTrophyTournament,   run towards _
0.026450505746763657) 0.026450505746763657
uncoupled_cpl    extractionPatterns(awardTrophyTournament,   schedule of _
0.113158023400482)     0.113158023400482
uncoupled_cpl    extractionPatterns(awardTrophyTournament,   second week of
_ 0.11086921672815545) 0.11086921672815545
uncoupled_cpl    extractionPatterns(awardTrophyTournament,   service during
_ 0.11982619033984653) 0.11982619033984653
uncoupled_cpl    extractionPatterns(awardTrophyTournament,   seventh game
of _ 0.033942546246342825)   0.033942546246342825
uncoupled_cpl    extractionPatterns(awardTrophyTournament,   silver medal
in _ 0.03156996768535086)    0.03156996768535086
uncoupled_cpl    extractionPatterns(awardTrophyTournament,   site of _
0.03133160332300897)   0.03133160332300897
uncoupled_cpl    extractionPatterns(awardTrophyTournament,   space of _
0.11984476483883572)   0.11984476483883572
uncoupled_cpl    extractionPatterns(awardTrophyTournament,   _ spent in
0.37482725967724495)   0.37482725967724495
uncoupled_cpl    extractionPatterns(awardTrophyTournament,   termination of
_ 0.10354996801760824) 0.10354996801760824
uncoupled_cpl    extractionPatterns(awardTrophyTournament,   term of _
0.18600718071862796)   0.18600718071862796
uncoupled_cpl    extractionPatterns(awardTrophyTournament,   time after _
0.1682638493044042)    0.1682638493044042
uncoupled_cpl    extractionPatterns(awardTrophyTournament,   victory in _
0.10783640163530403)   0.10783640163530403
uncoupled_cpl    extractionPatterns(awardTrophyTournament,   _ was marked
by 0.11721798007461014)      0.11721798007461014
uncoupled_cpl    extractionPatterns(awardTrophyTournament,   _ was played
in 0.1175955599214924) 0.1175955599214924
uncoupled_cpl    extractionPatterns(awardTrophyTournament,   _ was spent in
0.31073339041865833)   0.31073339041865833
uncoupled_cpl    extractionPatterns(awardTrophyTournament,   week during _
0.13979852500348453)   0.13979852500348453
uncoupled_cpl    extractionPatterns(awardTrophyTournament,   _ were held in
0.10067699059040622)   0.10067699059040622
uncoupled_cpl    extractionPatterns(awardTrophyTournament,   win in _
0.10812243895239733)   0.10812243895239733
uncoupled_cpl    extractionPatterns(awardTrophyTournament,   year after _
0.4399338078900831)    0.4399338078900831
uncoupled_cpl    extractionPatterns(boardGame,   affairs of _
0.12013441957376066)   0.12013441957376066
uncoupled_cpl    extractionPatterns(boardGame,   basis in _
0.10428997902196593)   0.10428997902196593
uncoupled_cpl    extractionPatterns(boardGame,   bodies of _
0.21072885906303623)   0.21072885906303623
uncoupled_cpl    extractionPatterns(boardGame,   body of _
0.15498561078769074)   0.15498561078769074
uncoupled_cpl    extractionPatterns(boardGame,   book of _
0.12156052403821122)   0.12156052403821122
uncoupled_cpl    extractionPatterns(boardGame,   brother in _
0.2685288290590077)    0.2685288290590077
uncoupled_cpl    extractionPatterns(boardGame,   chance in _
0.11812947621530565)   0.11812947621530565
uncoupled_cpl    extractionPatterns(boardGame,   churches of _
0.14175911997442345)   0.14175911997442345
uncoupled_cpl    extractionPatterns(boardGame,   classic game of _
0.09756094688628882)   0.09756094688628882
uncoupled_cpl    extractionPatterns(boardGame,   court of _
0.3211480651664659)    0.3211480651664659
uncoupled_cpl    extractionPatterns(boardGame,   courts of _
0.1828059630263259)    0.1828059630263259
uncoupled_cpl    extractionPatterns(boardGame,   daughter in _
0.13105646737390578)   0.13105646737390578
uncoupled_cpl    extractionPatterns(boardGame,   drink of _
0.10874799999859217)   0.10874799999859217
uncoupled_cpl    extractionPatterns(boardGame,   efforts on _
0.11406669018632076)   0.11406669018632076
uncoupled_cpl    extractionPatterns(boardGame,   enemies of _
0.12154435756360854)   0.12154435756360854
uncoupled_cpl    extractionPatterns(boardGame,   father in _
0.12996774171141118)   0.12996774171141118
uncoupled_cpl    extractionPatterns(boardGame,   game on _
0.0702347553507989)    0.0702347553507989
uncoupled_cpl    extractionPatterns(boardGame,   games of _
0.14024533460234986)   0.14024533460234986
uncoupled_cpl    extractionPatterns(boardGame,   good game of _
0.030945304617605973) 0.030945304617605973
uncoupled_cpl    extractionPatterns(boardGame,   hatred of _
0.11698892579369986)   0.11698892579369986
uncoupled_cpl    extractionPatterns(boardGame,   heritage from _
0.02034760631114445)   0.02034760631114445
uncoupled_cpl    extractionPatterns(boardGame,   house of _
0.019173483925837544) 0.019173483925837544
uncoupled_cpl    extractionPatterns(boardGame,   _ is a classic game
0.7392242155941596)    0.7392242155941596
uncoupled_cpl    extractionPatterns(boardGame,   _ is a game
0.027688337038359434) 0.027688337038359434
uncoupled_cpl    extractionPatterns(boardGame,   _ is played by
0.05387649400453908)   0.05387649400453908
uncoupled_cpl    extractionPatterns(boardGame,   _ left on
0.23731118078113367)   0.23731118078113367
uncoupled_cpl    extractionPatterns(boardGame,   life on _
0.13072649013073376)   0.13072649013073376
uncoupled_cpl    extractionPatterns(boardGame, man of _
0.10388258583263016)   0.10388258583263016
uncoupled_cpl    extractionPatterns(boardGame, men playing _
0.09160302351876684)   0.09160302351876684
uncoupled_cpl    extractionPatterns(boardGame, mother in _
0.19285628591857765)   0.19285628591857765
uncoupled_cpl    extractionPatterns(boardGame, People of _
0.09735628386920919)   0.09735628386920919
uncoupled_cpl    extractionPatterns(boardGame, _ played by
0.1338855431000595)    0.1338855431000595
uncoupled_cpl    extractionPatterns(boardGame, _ playing program
0.14186845840047071)   0.14186845840047071
uncoupled_cpl    extractionPatterns(boardGame, play online _
0.054074097341292496) 0.054074097341292496
uncoupled_cpl    extractionPatterns(boardGame, realm of _
0.06809176488075996)   0.06809176488075996
uncoupled_cpl    extractionPatterns(boardGame, realms of _
0.07698158820050396)   0.07698158820050396
uncoupled_cpl    extractionPatterns(boardGame, religion of _
0.10584071539354595)   0.10584071539354595
uncoupled_cpl    extractionPatterns(boardGame, session of _
0.0674964010704429)    0.0674964010704429
uncoupled_cpl    extractionPatterns(boardGame, sister in _
0.2671131306559093)    0.2671131306559093
uncoupled_cpl    extractionPatterns(boardGame, son in _
0.11283045333287073)   0.11283045333287073
uncoupled_cpl    extractionPatterns(boardGame, sons of _
0.1128224426550665)    0.1128224426550665
uncoupled_cpl    extractionPatterns(boardGame, stream of _
0.14985351930146243)   0.14985351930146243
uncoupled_cpl    extractionPatterns(boardGame, struggle for _
0.13542517570567877)   0.13542517570567877
uncoupled_cpl    extractionPatterns(boardGame, term in _
0.13013759046918344)   0.13013759046918344
uncoupled_cpl    extractionPatterns(boardGame, time playing _
0.06461246048688249)   0.06461246048688249
uncoupled_cpl    extractionPatterns(boardGame, tree of _
0.10313783308842381)   0.10313783308842381
uncoupled_cpl    extractionPatterns(boardGame, version of _
1.1384082331736451)    1.1384082331736451
uncoupled_cpl    extractionPatterns(boardGame, voice of _
0.049177848038188275) 0.049177848038188275
uncoupled_cpl    extractionPatterns(boardGame, word of _
0.02323271184727867)   0.02323271184727867
uncoupled_cpl    extractionPatterns(boardGame, words of _
0.12107488990568614)   0.12107488990568614
uncoupled_cpl    extractionPatterns(bodyPart, _ are covered with
0.09405044422131002)   0.09405044422131002
uncoupled_cpl    extractionPatterns(bodyPart, change of _
0.09747259669708899)   0.09747259669708899
uncoupled_cpl    extractionPatterns(bodyPart, charge of _
0.10842029329275372)   0.10842029329275372
uncoupled_cpl    extractionPatterns(bodyPart, _ coming through
0.10927321208251152)   0.10927321208251152
uncoupled_cpl    extractionPatterns(bodyPart,   _ crossed in
0.08122119854996541)   0.08122119854996541
uncoupled_cpl    extractionPatterns(bodyPart,   different set of _
0.12791132865550417)   0.12791132865550417
uncoupled_cpl    extractionPatterns(bodyPart,   _ do the walking
0.1474395526117755)    0.1474395526117755
uncoupled_cpl    extractionPatterns(bodyPart,   _ drawn from
0.09419577027002667)   0.09419577027002667
uncoupled_cpl    extractionPatterns(bodyPart,   _ drawn on
0.11390107163649442)   0.11390107163649442
uncoupled_cpl    extractionPatterns(bodyPart,   extra set of _
0.23297689346783895)   0.23297689346783895
uncoupled_cpl    extractionPatterns(bodyPart,   _ falling on
0.10064377266477052)   0.10064377266477052
uncoupled_cpl    extractionPatterns(bodyPart,   _ fell on
0.09804732585408263)   0.09804732585408263
uncoupled_cpl    extractionPatterns(bodyPart,   first set of _
0.13270840517153457)   0.13270840517153457
uncoupled_cpl    extractionPatterns(bodyPart,   _ fixed on
0.32174885216082105)   0.32174885216082105
uncoupled_cpl    extractionPatterns(bodyPart,   flash of _
0.2212584065742725)    0.2212584065742725
uncoupled_cpl    extractionPatterns(bodyPart,   _ floating in
0.09499604688350197)   0.09499604688350197
uncoupled_cpl    extractionPatterns(bodyPart,   _ hanging over
0.10109758909256902)   0.10109758909256902
uncoupled_cpl    extractionPatterns(bodyPart,   _ hurt from
0.09504612299410575)   0.09504612299410575
uncoupled_cpl    extractionPatterns(bodyPart,   _ inserted into
0.0964487982048394)    0.0964487982048394
uncoupled_cpl    extractionPatterns(bodyPart,   _ is covered in
0.09577438593054037)   0.09577438593054037
uncoupled_cpl    extractionPatterns(bodyPart,   _ is covered with
0.12746276452215463)   0.12746276452215463
uncoupled_cpl    extractionPatterns(bodyPart,   _ is inserted into
0.11516988267653289)   0.11516988267653289
uncoupled_cpl    extractionPatterns(bodyPart,   _ is made of
0.10015583058927921)   0.10015583058927921
uncoupled_cpl    extractionPatterns(bodyPart,   _ left at
0.2873196269943892)    0.2873196269943892
uncoupled_cpl    extractionPatterns(bodyPart,   _ left on
0.25012186997490415)   0.25012186997490415
uncoupled_cpl    extractionPatterns(bodyPart,   _ listed below
0.10752864519287027)   0.10752864519287027
uncoupled_cpl    extractionPatterns(bodyPart,   _ locked on
0.2324142358666156)    0.2324142358666156
uncoupled_cpl    extractionPatterns(bodyPart,   _ mounted on
0.09758573051418543)   0.09758573051418543
uncoupled_cpl    extractionPatterns(bodyPart,   new set of _
0.13178255833539695)   0.13178255833539695
uncoupled_cpl    extractionPatterns(bodyPart,   next set of _
0.13772050137219966)   0.13772050137219966
uncoupled_cpl    extractionPatterns(bodyPart,   own set of _
0.14247068781162975)   0.14247068781162975
uncoupled_cpl    extractionPatterns(bodyPart,   _ pointed at
0.1065857983349763)    0.1065857983349763
uncoupled_cpl    extractionPatterns(bodyPart,   point of _
0.33250213428652076)   0.33250213428652076
uncoupled_cpl    extractionPatterns(bodyPart,   points of _
0.2504249510379879)    0.2504249510379879
uncoupled_cpl    extractionPatterns(bodyPart,   _ pressed against
0.08266127875170526)   0.08266127875170526
uncoupled_cpl    extractionPatterns(bodyPart,   _ rested on
0.12140818267906277)   0.12140818267906277
uncoupled_cpl    extractionPatterns(bodyPart,   _ resting on
0.10910276966336889)   0.10910276966336889
uncoupled_cpl    extractionPatterns(bodyPart,   _ resulting in
0.09014975923967437)   0.09014975923967437
uncoupled_cpl    extractionPatterns(bodyPart,   _ running down
0.09490337597250458)   0.09490337597250458
uncoupled_cpl    extractionPatterns(bodyPart,   second set of _
0.17689852781184665)   0.17689852781184665
uncoupled_cpl    extractionPatterns(bodyPart,   _ set on
0.12315026531656574)   0.12315026531656574
uncoupled_cpl    extractionPatterns(bodyPart,   sets of _
0.09931933637996149)   0.09931933637996149
uncoupled_cpl    extractionPatterns(bodyPart,   speed of _
0.15745225650062644)   0.15745225650062644
uncoupled_cpl    extractionPatterns(bodyPart,   _ sticking out of
0.10618929241234165)   0.10618929241234165
uncoupled_cpl    extractionPatterns(bodyPart,   _ tied behind
0.3685986117615425)    0.3685986117615425
uncoupled_cpl    extractionPatterns(bodyPart,   _ was covered in
0.09902439946214936)   0.09902439946214936
uncoupled_cpl    extractionPatterns(bodyPart,   _ was covered with
0.13277304990456795)   0.13277304990456795
uncoupled_cpl    extractionPatterns(bodyPart,   _ was found in
0.09787569732967488)   0.09787569732967488
uncoupled_cpl    extractionPatterns(bodyPart,   _ were filled with
0.10155527981880598)   0.10155527981880598
uncoupled_cpl    extractionPatterns(bodyPart,   _ wrapped around
0.10882425907227372)   0.10882425907227372
uncoupled_cpl    extractionPatterns(building,   campus of _
0.24029402531268015)   0.24029402531268015
uncoupled_cpl    extractionPatterns(building,   circle of _
0.20053990993477044)   0.20053990993477044
uncoupled_cpl    extractionPatterns(building,   coach at _
0.2558663605266566)    0.2558663605266566
uncoupled_cpl    extractionPatterns(building,   college at _
0.300437359794251)     0.300437359794251
uncoupled_cpl    extractionPatterns(building,   _ conducted by
0.14076281051664524)   0.14076281051664524
uncoupled_cpl    extractionPatterns(building,   _ contained in
0.240110270678425)     0.240110270678425
uncoupled_cpl    extractionPatterns(building,   _ contained within
0.22130067096604913)   0.22130067096604913
uncoupled_cpl    extractionPatterns(building,   courses at _
0.24585533134558704)   0.24585533134558704
uncoupled_cpl    extractionPatterns(building,   degree at _
0.21534540609125247)   0.21534540609125247
uncoupled_cpl    extractionPatterns(building,   degree from _
0.24767298792694764)   0.24767298792694764
uncoupled_cpl    extractionPatterns(building,   degrees from _
0.2738321367316335)    0.2738321367316335
uncoupled_cpl    extractionPatterns(building,   department at _
0.09038933447641065)   0.09038933447641065
uncoupled_cpl    extractionPatterns(building,   education at _
0.08520842202274426)   0.08520842202274426
uncoupled_cpl    extractionPatterns(building,   education from _
0.2710326461119651)    0.2710326461119651
uncoupled_cpl    extractionPatterns(building,   engineering at _
0.3244223703380251)    0.3244223703380251
uncoupled_cpl    extractionPatterns(building,   faculty at _
0.18036566797947906)   0.18036566797947906
uncoupled_cpl    extractionPatterns(building,   faculty member at _
0.2485895838547341)    0.2485895838547341
uncoupled_cpl    extractionPatterns(building,   faculty of _
0.2837757401828571)    0.2837757401828571
uncoupled_cpl    extractionPatterns(building,   fellow at _
0.24123830900986604)   0.24123830900986604
uncoupled_cpl    extractionPatterns(building,   friends of _
0.18446454536706147)   0.18446454536706147
uncoupled_cpl    extractionPatterns(building,   graduate of _
0.36395101302634364)   0.36395101302634364
uncoupled_cpl    extractionPatterns(building,   graduation from _
0.24512181203911737)   0.24512181203911737
uncoupled_cpl    extractionPatterns(building,   heads of _
0.17877343519779687)   0.17877343519779687
uncoupled_cpl    extractionPatterns(building,   history at _
0.1443571271501879)    0.1443571271501879
uncoupled_cpl    extractionPatterns(building,   hundreds of _
0.16442693032707803)   0.16442693032707803
uncoupled_cpl    extractionPatterns(building,   institutions such as _
0.08471183149563025)   0.08471183149563025
uncoupled_cpl    extractionPatterns(building,   law at _
0.3102558497870731)    0.3102558497870731
uncoupled_cpl    extractionPatterns(building,   lot of other _
0.2372103449584318)    0.2372103449584318
uncoupled_cpl    extractionPatterns(building,   millions of _
0.2014274524285344)    0.2014274524285344
uncoupled_cpl    extractionPatterns(building,   network of _
0.052838774090713185) 0.052838774090713185
uncoupled_cpl    extractionPatterns(building,   philosophy at _
0.2362031592478261)    0.2362031592478261
uncoupled_cpl    extractionPatterns(building,   professor at _
0.24766159523153702)   0.24766159523153702
uncoupled_cpl    extractionPatterns(building,   professor in _
0.33510445157801394)   0.33510445157801394
uncoupled_cpl    extractionPatterns(building,   program of _
0.23783669411649483)   0.23783669411649483
uncoupled_cpl    extractionPatterns(building,   programs of _
0.24676470690323005)   0.24676470690323005
uncoupled_cpl    extractionPatterns(building, _ provided in
0.1342409445513005)    0.1342409445513005
uncoupled_cpl    extractionPatterns(building, requests for _
0.13266395530157105)   0.13266395530157105
uncoupled_cpl    extractionPatterns(building, researcher at _
0.25931830370923775)   0.25931830370923775
uncoupled_cpl    extractionPatterns(building, researchers at _
0.21754272738491381)   0.21754272738491381
uncoupled_cpl    extractionPatterns(building, roofs of _
0.04745131694207327)   0.04745131694207327
uncoupled_cpl    extractionPatterns(building, science at _
0.19656816738887606)   0.19656816738887606
uncoupled_cpl    extractionPatterns(building, selection of _
0.09117277009532238)   0.09117277009532238
uncoupled_cpl    extractionPatterns(building, self contained _
0.05470282092735118)   0.05470282092735118
uncoupled_cpl    extractionPatterns(building, sharing of _
0.16502901038846896)   0.16502901038846896
uncoupled_cpl    extractionPatterns(building, student at _
0.16697319306818076)   0.16697319306818076
uncoupled_cpl    extractionPatterns(building, studies at _
0.3476249883295365)    0.3476249883295365
uncoupled_cpl    extractionPatterns(building, tens of _
0.6906134627057456)    0.6906134627057456
uncoupled_cpl    extractionPatterns(building, variety of _
0.12018236277120241)   0.12018236277120241
uncoupled_cpl    extractionPatterns(building, wealth of _
0.28448436016068207)   0.28448436016068207
uncoupled_cpl    extractionPatterns(building, _ were built in
0.08831379100901965)   0.08831379100901965
uncoupled_cpl    extractionPatterns(celebrity, actors like _
0.1452241308460126)    0.1452241308460126
uncoupled_cpl    extractionPatterns(celebrity, actors such as _
0.1131418429600648)    0.1131418429600648
uncoupled_cpl    extractionPatterns(celebrity, acts like _
0.10367772387347361)   0.10367772387347361
uncoupled_cpl    extractionPatterns(celebrity, acts such as _
0.1197788683413723)    0.1197788683413723
uncoupled_cpl    extractionPatterns(celebrity, albums by _
0.10900222326874992)   0.10900222326874992
uncoupled_cpl    extractionPatterns(celebrity, artists include _
0.10133838657205319)   0.10133838657205319
uncoupled_cpl    extractionPatterns(celebrity, artists including _
0.06700841972160677)   0.06700841972160677
uncoupled_cpl    extractionPatterns(celebrity, artists , including _
0.12444841329358944)   0.12444841329358944
uncoupled_cpl    extractionPatterns(celebrity, artists like _
0.06864108615439234)   0.06864108615439234
uncoupled_cpl    extractionPatterns(celebrity, artists such as _
0.06958731388656725)   0.06958731388656725
uncoupled_cpl    extractionPatterns(celebrity, bands like _
0.1361749258816561)    0.1361749258816561
uncoupled_cpl    extractionPatterns(celebrity, bands such as _
0.12381311343344405)   0.12381311343344405
uncoupled_cpl    extractionPatterns(celebrity,   cast includes _
0.11461323416488256)   0.11461323416488256
uncoupled_cpl    extractionPatterns(celebrity,   cast including _
0.11907163407062628)   0.11907163407062628
uncoupled_cpl    extractionPatterns(celebrity,   celebrities including _
0.015441169383192928) 0.015441169383192928
uncoupled_cpl    extractionPatterns(celebrity,   character played by _
0.12499994270999265)   0.12499994270999265
uncoupled_cpl    extractionPatterns(celebrity,   comedy starring _
0.10772355600778637)   0.10772355600778637
uncoupled_cpl    extractionPatterns(celebrity,   duets with _
0.11632096141167976)   0.11632096141167976
uncoupled_cpl    extractionPatterns(celebrity,   duet with _
0.08040386755791562)   0.08040386755791562
uncoupled_cpl    extractionPatterns(celebrity,   film starring _
0.10822780151117349)   0.10822780151117349
uncoupled_cpl    extractionPatterns(celebrity,   film stars _
0.07330195494363179)   0.07330195494363179
uncoupled_cpl    extractionPatterns(celebrity,   greats as _
0.13540621750818477)   0.13540621750818477
uncoupled_cpl    extractionPatterns(celebrity,   greats like _
0.11334001453479775)   0.11334001453479775
uncoupled_cpl    extractionPatterns(celebrity,   greats such as _
0.12512513029858022)   0.12512513029858022
uncoupled_cpl    extractionPatterns(celebrity,   headlines involving _
0.10613440673733401)   0.10613440673733401
uncoupled_cpl    extractionPatterns(celebrity,   influences include _
0.15815811792614196)   0.15815811792614196
uncoupled_cpl    extractionPatterns(celebrity,   legends like _
0.12437314477456969)   0.12437314477456969
uncoupled_cpl    extractionPatterns(celebrity,   legends such as _
0.13713711695335354)   0.13713711695335354
uncoupled_cpl    extractionPatterns(celebrity,   luminaries as _
0.10151618856162559)   0.10151618856162559
uncoupled_cpl    extractionPatterns(celebrity,   lyrics by _
0.11318099681095456)   0.11318099681095456
uncoupled_cpl    extractionPatterns(celebrity,   lyrics performed by _
0.12312317523821396)   0.12312317523821396
uncoupled_cpl    extractionPatterns(celebrity,   movie starring _
0.12895071524311788)   0.12895071524311788
uncoupled_cpl    extractionPatterns(celebrity,   movie stars _
0.1463414045087318)    0.1463414045087318
uncoupled_cpl    extractionPatterns(celebrity,   musicians like _
0.1131521393362522)    0.1131521393362522
uncoupled_cpl    extractionPatterns(celebrity,   musicians such as _
0.1178539656720809)    0.1178539656720809
uncoupled_cpl    extractionPatterns(celebrity,   opening act for _
0.10479282218939381)   0.10479282218939381
uncoupled_cpl    extractionPatterns(celebrity,   performers like _
0.11911915313204276)   0.11911915313204276
uncoupled_cpl    extractionPatterns(celebrity,   performers such as _
0.126135191350619)     0.126135191350619
uncoupled_cpl    extractionPatterns(celebrity,   presence of _
0.0531271065403214)    0.0531271065403214
uncoupled_cpl    extractionPatterns(celebrity, ringtones by _
0.10095736297834446)    0.10095736297834446
uncoupled_cpl    extractionPatterns(celebrity, singers like _
0.14944841438160136)    0.14944841438160136
uncoupled_cpl    extractionPatterns(celebrity, songs by _
0.11399188697569414)    0.11399188697569414
uncoupled_cpl    extractionPatterns(celebrity, _ stars as
0.10427934198660371)    0.10427934198660371
uncoupled_cpl    extractionPatterns(celebrity, stars including _
0.04976461946263867)    0.04976461946263867
uncoupled_cpl    extractionPatterns(celebrity, stars like _
0.031350188473732096) 0.031350188473732096
uncoupled_cpl    extractionPatterns(celebrity, stars such as _
0.03532278697261121)    0.03532278697261121
uncoupled_cpl    extractionPatterns(celebrity, such artists as _
0.017478145623401293) 0.017478145623401293
uncoupled_cpl    extractionPatterns(celebrity, such stars as _
0.06600425957652552)    0.06600425957652552
uncoupled_cpl    extractionPatterns(celebrity, tunes by _
0.12108978303305315)    0.12108978303305315
uncoupled_cpl    extractionPatterns(celebrity, version of _
0.05441175847714643)    0.05441175847714643
uncoupled_cpl    extractionPatterns(ceo, address by _
0.0023995189481248185) 0.0023995189481248185
uncoupled_cpl    extractionPatterns(ceo, assassination of _
0.10042942871329189)    0.10042942871329189
uncoupled_cpl    extractionPatterns(ceo, ball of _ 0.13296930059473447)
      0.13296930059473447
uncoupled_cpl    extractionPatterns(ceo, believer in _
0.13333906952902153)    0.13333906952902153
uncoupled_cpl    extractionPatterns(ceo, believers in _
0.16657393734376338)    0.16657393734376338
uncoupled_cpl    extractionPatterns(ceo, birth of _ 0.11718223404223442)
      0.11718223404223442
uncoupled_cpl    extractionPatterns(ceo, blessings of _
0.13161345811606745)    0.13161345811606745
uncoupled_cpl    extractionPatterns(ceo, blood of _ 0.22889383169131783)
      0.22889383169131783
uncoupled_cpl    extractionPatterns(ceo, boy named _ 0.1113707002496662)
      0.1113707002496662
uncoupled_cpl    extractionPatterns(ceo, company owned by _
0.0017203250903477984) 0.0017203250903477984
uncoupled_cpl    extractionPatterns(ceo, denial of _ 0.12580565291425233)
      0.12580565291425233
uncoupled_cpl    extractionPatterns(ceo, disciple of _
0.19071082565512182)    0.19071082565512182
uncoupled_cpl    extractionPatterns(ceo, doctrines of _
0.1406966675405194)     0.1406966675405194
uncoupled_cpl    extractionPatterns(ceo, faith in _ 0.09638082576520529)
      0.09638082576520529
uncoupled_cpl    extractionPatterns(ceo, faith of _ 0.13508865667179293)
      0.13508865667179293
uncoupled_cpl    extractionPatterns(ceo, follower of _ 0.277497043474042)
      0.277497043474042
uncoupled_cpl    extractionPatterns(ceo, fullness of _
0.19498746588443427)   0.19498746588443427
uncoupled_cpl    extractionPatterns(ceo, _ gave a speech
9.54881795012791E-4)   9.54881795012791E-4
uncoupled_cpl    extractionPatterns(ceo, gift of _ 0.12712479972913787)
      0.12712479972913787
uncoupled_cpl    extractionPatterns(ceo, gospel of _ 0.20947937356583834)
      0.20947937356583834
uncoupled_cpl    extractionPatterns(ceo, gurus such as _
0.0017203250903477984) 0.0017203250903477984
uncoupled_cpl    extractionPatterns(ceo, guy named _ 0.11471987405251761)
      0.11471987405251761
uncoupled_cpl    extractionPatterns(ceo, interview of _
0.0014323225376734173) 0.0014323225376734173
uncoupled_cpl    extractionPatterns(ceo, _ is a genius
0.0022118455974414458) 0.0022118455974414458
uncoupled_cpl    extractionPatterns(ceo, _ is a master
0.0014590554568290667) 0.0014590554568290667
uncoupled_cpl    extractionPatterns(ceo, _ is the head
0.10551628265635152)   0.10551628265635152
uncoupled_cpl    extractionPatterns(ceo, leaders like _
0.0021484835742414986) 0.0021484835742414986
uncoupled_cpl    extractionPatterns(ceo, Life of _ 0.08597755544399793)
      0.08597755544399793
uncoupled_cpl    extractionPatterns(ceo, matters of _
0.13294363999604714)   0.13294363999604714
uncoupled_cpl    extractionPatterns(ceo, message of _
0.17623375707082772)   0.17623375707082772
uncoupled_cpl    extractionPatterns(ceo, ministry of _
0.14666283002507993)   0.14666283002507993
uncoupled_cpl    extractionPatterns(ceo, Mother of _ 0.1277203718107744)
      0.1277203718107744
uncoupled_cpl    extractionPatterns(ceoOf, arg1 announced arg2
8.320159829875934E-5) 8.320159829875934E-5
uncoupled_cpl    extractionPatterns(ceoOf, arg1 bought arg2
1.2478940518295822E-4) 1.2478940518295822E-4
uncoupled_cpl    extractionPatterns(ceoOf, arg1 does at arg2
3.9292728054405733E-4) 3.9292728054405733E-4
uncoupled_cpl    extractionPatterns(ceoOf, arg1 for a job at arg2
3.9292728054405733E-4) 3.9292728054405733E-4
uncoupled_cpl    extractionPatterns(ceoOf, arg1 founded arg2
7.019874721765876E-4) 7.019874721765876E-4
uncoupled_cpl    extractionPatterns(ceoOf, arg1 has said that arg2
6.622516091450148E-4) 6.622516091450148E-4
uncoupled_cpl    extractionPatterns(ceoOf, arg1 has used arg2
1.8048913065181493E-4) 1.8048913065181493E-4
uncoupled_cpl    extractionPatterns(ceoOf, arg1 is the CEO of arg2
7.747935121862378E-4) 7.747935121862378E-4
uncoupled_cpl    extractionPatterns(ceoOf, arg1 is the founder of arg2
3.9292728054405733E-4) 3.9292728054405733E-4
uncoupled_cpl    extractionPatterns(ceoOf, arg1 joined arg2
5.3499941367365905E-5) 5.3499941367365905E-5
uncoupled_cpl    extractionPatterns(ceoOf, arg1 launched arg2
4.254777481849084E-5) 4.254777481849084E-5
uncoupled_cpl    extractionPatterns(ceoOf, arg1    leaving arg2
1.4962775224045075E-4) 1.4962775224045075E-4
uncoupled_cpl    extractionPatterns(ceoOf, arg1    noted that arg2
9.070292066350034E-5) 9.070292066350034E-5
uncoupled_cpl    extractionPatterns(ceoOf, arg1    notes that arg2
9.070292066350034E-5) 9.070292066350034E-5
uncoupled_cpl    extractionPatterns(ceoOf, arg1    ran arg2
6.194442164680058E-5) 6.194442164680058E-5
uncoupled_cpl    extractionPatterns(ceoOf, arg1    says arg2
4.7041093898467275E-5) 4.7041093898467275E-5
uncoupled_cpl    extractionPatterns(ceoOf, arg1    says that arg2
4.254777481849084E-5) 4.254777481849084E-5
uncoupled_cpl    extractionPatterns(ceoOf, arg1    started arg2
2.678452954267685E-4) 2.678452954267685E-4
uncoupled_cpl    extractionPatterns(ceoOf, arg1    talking about arg2
1.3605436628666187E-4) 1.3605436628666187E-4
uncoupled_cpl    extractionPatterns(ceoOf, arg1    the founder of arg2
2.367144489508622E-4) 2.367144489508622E-4
uncoupled_cpl    extractionPatterns(ceoOf, arg1    turned arg2
6.194442164680058E-5) 6.194442164680058E-5
uncoupled_cpl    extractionPatterns(ceoOf, arg1    unveiled arg2
2.367144489508622E-4) 2.367144489508622E-4
uncoupled_cpl    extractionPatterns(ceoOf, arg1    who runs arg2
1.8048913065181493E-4) 1.8048913065181493E-4
uncoupled_cpl    extractionPatterns(ceoOf, arg2    billionaire arg1
0.003357438321837335) 0.003357438321837335
uncoupled_cpl    extractionPatterns(ceoOf, arg2    boss arg1
0.004022317700801656) 0.004022317700801656
uncoupled_cpl    extractionPatterns(ceoOf, arg2    CEO and Founder arg1
1.8048913065181493E-4) 1.8048913065181493E-4
uncoupled_cpl    extractionPatterns(ceoOf, arg2    chairman and CEO arg1
0.0018140597310859808) 0.0018140597310859808
uncoupled_cpl    extractionPatterns(ceoOf, arg2    Chairman and CEO arg1
0.011594203546799658) 0.011594203546799658
uncoupled_cpl    extractionPatterns(ceoOf, arg2    chairman arg1
0.0010651900979729186) 0.0010651900979729186
uncoupled_cpl    extractionPatterns(ceoOf, arg2    chief arg1
0.0010469940814238719) 0.0010469940814238719
uncoupled_cpl    extractionPatterns(ceoOf, arg2    chief executive arg1
0.0441264015967877)    0.0441264015967877
uncoupled_cpl    extractionPatterns(ceoOf, arg2    chief executive officer
arg1 0.02028986050965964)    0.02028986050965964
uncoupled_cpl    extractionPatterns(ceoOf, arg2    cofounder arg1
0.0018140597310859808) 0.0018140597310859808
uncoupled_cpl    extractionPatterns(ceoOf, arg2    creator arg1
6.779662839145465E-4) 6.779662839145465E-4
uncoupled_cpl    extractionPatterns(ceoOf, arg2    entrepreneur arg1
1.8048913065181493E-4) 1.8048913065181493E-4
uncoupled_cpl    extractionPatterns(ceoOf, arg2    founder and CEO arg1
0.0173913034400575)    0.0173913034400575
uncoupled_cpl    extractionPatterns(ceoOf, arg2    Founder and CEO arg1
1.8048913065181493E-4) 1.8048913065181493E-4
uncoupled_cpl    extractionPatterns(ceoOf, arg2    founder and chairman arg1
0.0018140597310859808) 0.0018140597310859808
uncoupled_cpl    extractionPatterns(ceoOf, arg2 founder arg1
0.009381233700866253) 0.009381233700866253
uncoupled_cpl    extractionPatterns(ceoOf, arg2 guru arg1
4.940711612684569E-4) 4.940711612684569E-4
uncoupled_cpl    extractionPatterns(ceoOf, arg2 head arg1
2.950215952696086E-4) 2.950215952696086E-4
uncoupled_cpl    extractionPatterns(ceoOf, arg2 head honcho arg1
6.622516091450148E-4) 6.622516091450148E-4
uncoupled_cpl    extractionPatterns(ceoOf, arg2 hired arg1
6.194442164680058E-5) 6.194442164680058E-5
uncoupled_cpl    extractionPatterns(ceoOf, arg2 magnate arg1
0.0018140597310859808) 0.0018140597310859808
uncoupled_cpl    extractionPatterns(ceoOf, arg2 owner arg1
7.222473360666614E-5) 7.222473360666614E-5
uncoupled_cpl    extractionPatterns(ceoOf, arg2 president and CEO arg1
7.747935121862378E-4) 7.747935121862378E-4
uncoupled_cpl    extractionPatterns(ceoOf, arg2 supremo arg1
0.00317460202801809)    0.00317460202801809
uncoupled_cpl    extractionPatterns(ceoOf, arg2 tycoon arg1
0.0012913217148275758) 0.0012913217148275758
uncoupled_cpl    extractionPatterns(ceoOf, arg2 was founded in DDDD by
arg1 3.550716350401487E-4)    3.550716350401487E-4
uncoupled_cpl    extractionPatterns(ceoOf, arg2 was started by arg1
4.254777481849084E-5) 4.254777481849084E-5
uncoupled_cpl    extractionPatterns(ceo, oneness of _
0.12564962493437193)    0.12564962493437193
uncoupled_cpl    extractionPatterns(ceo, open letter from _
0.0011936027793184745) 0.0011936027793184745
uncoupled_cpl    extractionPatterns(ceo, parents of _
0.14019583673612263)    0.14019583673612263
uncoupled_cpl    extractionPatterns(ceo, peace of _ 0.7827898576863618)
      0.7827898576863618
uncoupled_cpl    extractionPatterns(ceo, person of _ 0.17518477586556358)
      0.17518477586556358
uncoupled_cpl    extractionPatterns(ceo, prophecy of _
0.12356449901663398)    0.12356449901663398
uncoupled_cpl    extractionPatterns(ceo, resurrection of _
0.35157050662803413)    0.35157050662803413
uncoupled_cpl    extractionPatterns(ceo, sacrifice of _
0.1542406860795395)     0.1542406860795395
uncoupled_cpl    extractionPatterns(ceo, second coming of _
0.4528528684339747)     0.4528528684339747
uncoupled_cpl    extractionPatterns(ceo, seed of _ 0.1649389291432147)
      0.1649389291432147
uncoupled_cpl    extractionPatterns(ceo, servant of _ 0.130798932670997)
      0.130798932670997
uncoupled_cpl    extractionPatterns(ceo, servants of _
0.1397809114990082)     0.1397809114990082
uncoupled_cpl    extractionPatterns(ceo, son named _ 0.10750359393712498)
      0.10750359393712498
uncoupled_cpl    extractionPatterns(ceo, speech by _
0.0033488375277757505) 0.0033488375277757505
uncoupled_cpl    extractionPatterns(ceo, throne of _ 0.15777031596831087)
      0.15777031596831087
uncoupled_cpl    extractionPatterns(ceo, truths of _ 0.12702326758164878)
      0.12702326758164878
uncoupled_cpl    extractionPatterns(ceo, union with _
0.16702345956402243)    0.16702345956402243
uncoupled_cpl    extractionPatterns(ceo, walk with _ 0.16643607120809947)
      0.16643607120809947
uncoupled_cpl    extractionPatterns(city, airport in _
0.37304620239443387)    0.37304620239443387
uncoupled_cpl    extractionPatterns(city, arrival in _
0.3914795499644491)     0.3914795499644491
uncoupled_cpl    extractionPatterns(city, band from _
0.35832209154971795)    0.35832209154971795
uncoupled_cpl    extractionPatterns(city, _ based company
0.38429338295334575)    0.38429338295334575
uncoupled_cpl    extractionPatterns(city, bishop of _
0.36942039558658624)    0.36942039558658624
uncoupled_cpl    extractionPatterns(city, city like _ 0.3119847408190256)
      0.3119847408190256
uncoupled_cpl    extractionPatterns(city, city of _ 0.3761835837859279)
      0.3761835837859279
uncoupled_cpl    extractionPatterns(city, college in _
0.3835738915277207)     0.3835738915277207
uncoupled_cpl    extractionPatterns(city, company based in _
0.28605762569909027)    0.28605762569909027
uncoupled_cpl    extractionPatterns(city, concert in _
0.3823354172548275)     0.3823354172548275
uncoupled_cpl    extractionPatterns(city, conference in _
0.3090951873022682)     0.3090951873022682
uncoupled_cpl    extractionPatterns(city, convention in _
0.22585524359356185)    0.22585524359356185
uncoupled_cpl    extractionPatterns(city, exhibition in _
0.38575377563874536)    0.38575377563874536
uncoupled_cpl    extractionPatterns(city, exile in _ 0.439216421462157)
      0.439216421462157
uncoupled_cpl    extractionPatterns(city, factory in _
0.3851243537859428)     0.3851243537859428
uncoupled_cpl    extractionPatterns(city, festival in _
0.376331452988751)      0.376331452988751
uncoupled_cpl    extractionPatterns(city, festivals in _
0.39013439369545644)    0.39013439369545644
uncoupled_cpl    extractionPatterns(city, firm in _ 0.3819009489274585)
      0.3819009489274585
uncoupled_cpl    extractionPatterns(city, flight from _
0.3002784704608538)     0.3002784704608538
uncoupled_cpl    extractionPatterns(city, flights from _
0.33928188430385775)    0.33928188430385775
uncoupled_cpl    extractionPatterns(city, groups near _
0.3794539626672103)     0.3794539626672103
uncoupled_cpl    extractionPatterns(city, headquarters in _
0.21199639694436473)    0.21199639694436473
uncoupled_cpl    extractionPatterns(city, hometown of _
0.3377781364703005)     0.3377781364703005
uncoupled_cpl    extractionPatterns(city, hospital in _
0.38235568156894156)    0.38235568156894156
uncoupled_cpl    extractionPatterns(city, hospitals in _
0.37594703871295093)   0.37594703871295093
uncoupled_cpl    extractionPatterns(city, immigrants in _
0.39578782768022713)   0.39578782768022713
uncoupled_cpl    extractionPatterns(cityLocatedInCountry, arg1 and
distributed throughout arg2 0.008905849241243886) 0.008905849241243886
uncoupled_cpl    extractionPatterns(cityLocatedInCountry, arg1 and in
other parts of arg2 0.11382114114309129)       0.11382114114309129
uncoupled_cpl    extractionPatterns(cityLocatedInCountry, arg1 and
mainland arg2 0.1991083758974535) 0.1991083758974535
uncoupled_cpl    extractionPatterns(cityLocatedInCountry, arg1 and
Mainland arg2 0.3002754676911631) 0.3002754676911631
uncoupled_cpl    extractionPatterns(cityLocatedInCountry, arg1 and other
cities in arg2 0.011661808583627437)     0.011661808583627437
uncoupled_cpl    extractionPatterns(cityLocatedInCountry, arg1 and other
cities of arg2 0.01311953418878572)      0.01311953418878572
uncoupled_cpl    extractionPatterns(cityLocatedInCountry, arg1 and other
major cities in arg2 0.017492710984336187)     0.017492710984336187
uncoupled_cpl    extractionPatterns(cityLocatedInCountry, arg1 and other
parts of arg2 0.008097167255611694)      0.008097167255611694
uncoupled_cpl    extractionPatterns(cityLocatedInCountry, arg1 and the
northeastern arg2 0.1285140554107606)    0.1285140554107606
uncoupled_cpl    extractionPatterns(cityLocatedInCountry, arg1 and the
south of arg2 0.11151078124233937) 0.11151078124233937
uncoupled_cpl    extractionPatterns(cityLocatedInCountry, arg1 and the
South of arg2 0.17021277617535738) 0.17021277617535738
uncoupled_cpl    extractionPatterns(cityLocatedInCountry, arg1 and the
West of arg2 0.1515150983382487) 0.1515150983382487
uncoupled_cpl    extractionPatterns(cityLocatedInCountry, arg1 and
tourist resorts in arg2 0.14107889585782415) 0.14107889585782415
uncoupled_cpl    extractionPatterns(cityLocatedInCountry, arg1 area and
throughout arg2 0.13065330379034845)     0.13065330379034845
uncoupled_cpl    extractionPatterns(cityLocatedInCountry, arg1 as the
capital of arg2 0.12022900257549456)     0.12022900257549456
uncoupled_cpl    extractionPatterns(cityLocatedInCountry, arg1 became the
capital of arg2 0.12733447412333768)     0.12733447412333768
uncoupled_cpl    extractionPatterns(cityLocatedInCountry, arg1 has been
the capital of arg2 0.12021854310726393)       0.12021854310726393
uncoupled_cpl    extractionPatterns(cityLocatedInCountry, arg1 is the
biggest city in arg2 0.12432427573206908)      0.12432427573206908
uncoupled_cpl    extractionPatterns(cityLocatedInCountry, arg1 is the
capital city of arg2 0.010178119600502822)     0.010178119600502822
uncoupled_cpl    extractionPatterns(cityLocatedInCountry, arg1 is the
Capital of arg2 0.10928960429370896)     0.10928960429370896
uncoupled_cpl    extractionPatterns(cityLocatedInCountry, arg1 is the
capital of arg2 0.15226893687428966)     0.15226893687428966
uncoupled_cpl    extractionPatterns(cityLocatedInCountry, arg1 is the
capitol of arg2 0.12568305218023104)     0.12568305218023104
uncoupled_cpl    extractionPatterns(cityLocatedInCountry, arg1 is the
largest city in arg2 0.04081633132859952)      0.04081633132859952
uncoupled_cpl    extractionPatterns(cityLocatedInCountry, arg1 is the
only city in arg2 0.13131319600758856) 0.13131319600758856
uncoupled_cpl    extractionPatterns(cityLocatedInCountry, arg1 law and
controlling arg2 0.14937759261926814)    0.14937759261926814
uncoupled_cpl    extractionPatterns(cityLocatedInCountry, arg1 on the Map
of arg2 0.20912544327753535) 0.20912544327753535
uncoupled_cpl    extractionPatterns(cityLocatedInCountry, arg1 Opera
House in arg2 0.05010437246244659) 0.05010437246244659
uncoupled_cpl    extractionPatterns(cityLocatedInCountry, arg1 or another
part of arg2 0.1787233856432061) 0.1787233856432061
uncoupled_cpl    extractionPatterns(cityLocatedInCountry, arg1 or
mainland arg2 0.14227649026628925) 0.14227649026628925
uncoupled_cpl    extractionPatterns(cityLocatedInCountry, arg1 the
capital of arg2 0.05169868153589502)     0.05169868153589502
uncoupled_cpl    extractionPatterns(cityLocatedInCountry, arg2 and its
capital arg1 0.1105528048746603) 0.1105528048746603
uncoupled_cpl    extractionPatterns(cityLocatedInCountry, arg2 and now
lives in arg1 0.006779662208677222)      0.006779662208677222
uncoupled_cpl    extractionPatterns(cityLocatedInCountry, arg2 and
settled in arg1 0.008471920962395333)    0.008471920962395333
uncoupled_cpl    extractionPatterns(cityLocatedInCountry, arg2 Botanical
Garden in arg1 0.21991701683295548)      0.21991701683295548
uncoupled_cpl    extractionPatterns(cityLocatedInCountry, arg2 Capitol in
arg1 0.14740372915321734)    0.14740372915321734
uncoupled_cpl    extractionPatterns(cityLocatedInCountry, arg2 capitol in
arg1 0.20849421164982326)    0.20849421164982326
uncoupled_cpl    extractionPatterns(cityLocatedInCountry, arg2 Department
of Justice in arg1 0.13567838635901724) 0.13567838635901724
uncoupled_cpl    extractionPatterns(cityLocatedInCountry, arg2 Health
Science Center at arg1 0.6749072533463774)     0.6749072533463774
uncoupled_cpl    extractionPatterns(cityLocatedInCountry, arg2 Health
Science Center in arg1 0.12167301954409689)    0.12167301954409689
uncoupled_cpl    extractionPatterns(cityLocatedInCountry, arg2 Health
Sciences Center at arg1 0.12121214549655876) 0.12121214549655876
uncoupled_cpl    extractionPatterns(cityLocatedInCountry, arg2 Health
Sciences Center in arg1 0.29999994129778657) 0.29999994129778657
uncoupled_cpl    extractionPatterns(cityLocatedInCountry, arg2 Holocaust
Memorial Museum in arg1 0.492462481976332)     0.492462481976332
uncoupled_cpl    extractionPatterns(cityLocatedInCountry, arg2 Holocaust
Museum in arg1 0.10928960429370896)      0.10928960429370896
uncoupled_cpl    extractionPatterns(cityLocatedInCountry, arg2 House of
Representatives in arg1 0.1405405808836702)    0.1405405808836702
uncoupled_cpl    extractionPatterns(cityLocatedInCountry, arg2 in DDDD
and settled in arg1 0.017492710984336187)      0.017492710984336187
uncoupled_cpl    extractionPatterns(cityLocatedInCountry, arg2 Medical
School at arg1 0.47385637951673626)      0.47385637951673626
uncoupled_cpl    extractionPatterns(cityLocatedInCountry, arg2 Naval
Observatory in arg1 0.16756750399130144)       0.16756750399130144
uncoupled_cpl    extractionPatterns(cityLocatedInCountry, arg2 State
Capitol in arg1 0.12121214549655876)     0.12121214549655876
uncoupled_cpl    extractionPatterns(cityLocatedInCountry, arg2 State Fair
in arg1 0.13461532666698936) 0.13461532666698936
uncoupled_cpl    extractionPatterns(cityLocatedInCountry, arg2 State
Museum in arg1 0.24623103921650707)      0.24623103921650707
uncoupled_cpl    extractionPatterns(cityLocatedInState, arg1 and all of
Southern arg2 0.12686572947919095) 0.12686572947919095
uncoupled_cpl    extractionPatterns(cityLocatedInState, arg1 and the
Commonwealth of arg2 0.024518385850386383)     0.024518385850386383
uncoupled_cpl    extractionPatterns(cityLocatedInState, arg1 Bay area in
arg2 0.17708330631247643)    0.17708330631247643
uncoupled_cpl    extractionPatterns(cityLocatedInState, arg1 Bay area of
arg2 0.24458215848205547)    0.24458215848205547
uncoupled_cpl    extractionPatterns(cityLocatedInState, arg1 Bay Area of
arg2 0.5700934410056478)     0.5700934410056478
uncoupled_cpl    extractionPatterns(cityLocatedInState, arg1 campuses of
the University of arg2 0.15384618106178571)   0.15384618106178571
uncoupled_cpl    extractionPatterns(cityLocatedInState, arg1 campus of
the University of arg2 0.02439024552937341)   0.02439024552937341
uncoupled_cpl    extractionPatterns(cityLocatedInState, arg1 County in
the State of arg2 0.14179101936496458) 0.14179101936496458
uncoupled_cpl    extractionPatterns(cityLocatedInState, arg2 Academy of
Fine Arts in arg1 0.17708330631247643) 0.17708330631247643
uncoupled_cpl    extractionPatterns(cityLocatedInState, arg2 chocolate
fountain rentals in arg1 0.18103443811243458) 0.18103443811243458
uncoupled_cpl    extractionPatterns(cityLocatedInState, arg2 chocolate
fountain rentals including arg1 0.17094011303313206)
      0.17094011303313206
uncoupled_cpl    extractionPatterns(cityLocatedInState, arg2 College of
Art in arg1 0.09165305242625696) 0.09165305242625696
uncoupled_cpl    extractionPatterns(cityLocatedInState, arg2 College of
Arts in arg1 0.03422054788431498) 0.03422054788431498
uncoupled_cpl    extractionPatterns(cityLocatedInState, arg2 College of
Optometry in arg1 0.10546870554231916) 0.10546870554231916
uncoupled_cpl    extractionPatterns(cityLocatedInState, arg2 Eye and Ear
Infirmary in arg1 0.08984377053382851) 0.08984377053382851
uncoupled_cpl    extractionPatterns(cityLocatedInState, arg2 General
Hospital in arg1 0.2775955724123271)    0.2775955724123271
uncoupled_cpl    extractionPatterns(cityLocatedInState, arg2 Health
Science Center at arg1 0.38195289098849267)   0.38195289098849267
uncoupled_cpl    extractionPatterns(cityLocatedInState, arg2 Historical
Society in arg1 0.038596487656747815)   0.038596487656747815
uncoupled_cpl    extractionPatterns(cityLocatedInState, arg2 History
Center in arg1 0.16800005032925908)     0.16800005032925908
uncoupled_cpl    extractionPatterns(cityLocatedInState, arg2 Hospitals
and Clinics in arg1 0.20833331623205179)      0.20833331623205179
uncoupled_cpl    extractionPatterns(cityLocatedInState, arg2 Hotels
Planning your trip to arg1 0.15384618106178571)     0.15384618106178571
uncoupled_cpl    extractionPatterns(cityLocatedInState, arg2 including
cities such as arg1 0.13432836385810043)      0.13432836385810043
uncoupled_cpl    extractionPatterns(cityLocatedInState, arg2 Institute of
Technology in arg1 0.03679740325572912) 0.03679740325572912
uncoupled_cpl    extractionPatterns(cityLocatedInState, arg2
International University in arg1 0.42535209254009687)
      0.42535209254009687
uncoupled_cpl    extractionPatterns(cityLocatedInState, arg2 Medical
Center at arg1 0.030855538955444007)    0.030855538955444007
uncoupled_cpl    extractionPatterns(cityLocatedInState, arg2 Museum of
Contemporary Art in arg1 0.17948726870567172) 0.17948726870567172
uncoupled_cpl    extractionPatterns(cityLocatedInState, arg2 Museum of
History in arg1 0.18750008129470605)    0.18750008129470605
uncoupled_cpl    extractionPatterns(cityLocatedInState, arg2 School of
Design in arg1 0.13702621789045766)     0.13702621789045766
uncoupled_cpl    extractionPatterns(cityLocatedInState, arg2 School of
Fine Arts in arg1 0.1851851765870796)    0.1851851765870796
uncoupled_cpl    extractionPatterns(cityLocatedInState, arg2 School of
Medicine in arg1 0.03404922524827849)    0.03404922524827849
uncoupled_cpl    extractionPatterns(cityLocatedInState, arg2 School of
Professional Psychology in arg1 0.16666674487136082)
      0.16666674487136082
uncoupled_cpl    extractionPatterns(cityLocatedInState, arg2 singles go
here for arg1 0.027667993587770164)      0.027667993587770164
uncoupled_cpl    extractionPatterns(cityLocatedInState, arg2 Singles in
arg1 0.03422054788431498)     0.03422054788431498
uncoupled_cpl    extractionPatterns(cityLocatedInState, arg2 State
Archives in arg1 0.17073169325714596)    0.17073169325714596
uncoupled_cpl    extractionPatterns(cityLocatedInState, arg2 State
Capitol building in arg1 0.16483521517824504) 0.16483521517824504
uncoupled_cpl    extractionPatterns(cityLocatedInState, arg2 State
Capitol in arg1 0.23437497240409422)     0.23437497240409422
uncoupled_cpl    extractionPatterns(cityLocatedInState, arg2 State
College at arg1 0.22222231039474505)     0.22222231039474505
uncoupled_cpl    extractionPatterns(cityLocatedInState, arg2 State
Fairgrounds in arg1 0.1724137788883409) 0.1724137788883409
uncoupled_cpl    extractionPatterns(cityLocatedInState, arg2 State Fair
in arg1 0.14615391503458314) 0.14615391503458314
uncoupled_cpl    extractionPatterns(cityLocatedInState, arg2 State
Historical Society in arg1 0.1851851765870796)       0.1851851765870796
uncoupled_cpl    extractionPatterns(cityLocatedInState, arg2 State House
in arg1 0.04296875737692685) 0.04296875737692685
uncoupled_cpl    extractionPatterns(cityLocatedInState, arg2 State
Library in arg1 0.2287581378863144)      0.2287581378863144
uncoupled_cpl    extractionPatterns(cityLocatedInState, arg2 State Museum
in arg1 0.22077923795528578) 0.22077923795528578
uncoupled_cpl    extractionPatterns(cityLocatedInState, arg2 State
Penitentiary in arg1 0.19834705095844682)      0.19834705095844682
uncoupled_cpl    extractionPatterns(cityLocatedInState, arg2 State
University at arg1 0.22376542179027267) 0.22376542179027267
uncoupled_cpl    extractionPatterns(cityLocatedInState, arg2 State
University campus in arg1 0.18181819858880538)       0.18181819858880538
uncoupled_cpl    extractionPatterns(cityLocatedInState, arg2 State
University in arg1 0.2264389288991425) 0.2264389288991425
uncoupled_cpl    extractionPatterns(cityLocatedInState, arg2 State
University is located in arg1 0.2312925313845416) 0.2312925313845416
uncoupled_cpl    extractionPatterns(cityLocatedInState, arg2 Superior
Court in arg1 0.02846975452395496) 0.02846975452395496
uncoupled_cpl    extractionPatterns(cityLocatedInState, arg2 The table
below shows arg1 0.1677853156170091)     0.1677853156170091
uncoupled_cpl    extractionPatterns(city, mayor of _ 0.323204832630865)
      0.323204832630865
uncoupled_cpl    extractionPatterns(city, meeting in _
0.3791236021586141)     0.3791236021586141
uncoupled_cpl    extractionPatterns(city, museums in _
0.38074706336533903)    0.38074706336533903
uncoupled_cpl    extractionPatterns(city, office in _
0.38260620657835304)    0.38260620657835304
uncoupled_cpl    extractionPatterns(city, offices in _ 0.352422689976286)
      0.352422689976286
uncoupled_cpl    extractionPatterns(city, outskirts of _
0.38637340757025496)    0.38637340757025496
uncoupled_cpl    extractionPatterns(city, place in _ 0.9447319901686244)
      0.9447319901686244
uncoupled_cpl    extractionPatterns(city, prison in _ 0.3849172126095787)
      0.3849172126095787
uncoupled_cpl    extractionPatterns(city, private practice in _
0.3824122743975798)     0.3824122743975798
uncoupled_cpl    extractionPatterns(city, rally in _ 0.3879646700798461)
      0.3879646700798461
uncoupled_cpl    extractionPatterns(city, show in _ 0.36352471230009903)
      0.36352471230009903
uncoupled_cpl    extractionPatterns(city, siege of _ 0.3622114940679616)
      0.3622114940679616
uncoupled_cpl    extractionPatterns(city, streets of _
0.3109615524524484)     0.3109615524524484
uncoupled_cpl    extractionPatterns(city, studio in _
0.37050586663458807)    0.37050586663458807
uncoupled_cpl    extractionPatterns(city, studios in _
0.37601095514227467)    0.37601095514227467
uncoupled_cpl    extractionPatterns(city, suburb of _ 0.232954295805177)
      0.232954295805177
uncoupled_cpl    extractionPatterns(city, suburbs of _
0.3446361693525528)     0.3446361693525528
uncoupled_cpl    extractionPatterns(city, summit in _ 0.3798852673034506)
      0.3798852673034506
uncoupled_cpl    extractionPatterns(city, talks in _ 0.36433299795507534)
      0.36433299795507534
uncoupled_cpl    extractionPatterns(city, tournament in _
0.38919296670202647)    0.38919296670202647
uncoupled_cpl    extractionPatterns(city, train from _ 0.311154719548697)
      0.311154719548697
uncoupled_cpl    extractionPatterns(city, trip from _ 0.3803436853063127)
      0.3803436853063127
uncoupled_cpl    extractionPatterns(city, university in _
0.37815995934672675)    0.37815995934672675
uncoupled_cpl    extractionPatterns(city, venues in _ 0.3634778206367896)
      0.3634778206367896
uncoupled_cpl    extractionPatterns(clothing, basket of _
0.12752957251292915)    0.12752957251292915
uncoupled_cpl    extractionPatterns(clothing, broad array of _
0.12542177769903043)    0.12542177769903043
uncoupled_cpl    extractionPatterns(clothing, broader range of _
0.13430821611464025)    0.13430821611464025
uncoupled_cpl    extractionPatterns(clothing, broad range of _
0.13914231788113746)    0.13914231788113746
uncoupled_cpl    extractionPatterns(clothing, broad spectrum of _
0.14070750160102602)    0.14070750160102602
uncoupled_cpl    extractionPatterns(clothing, bunch of new _
0.12688387257570694)    0.12688387257570694
uncoupled_cpl    extractionPatterns(clothing, button down _
0.36999270120922134)    0.36999270120922134
uncoupled_cpl    extractionPatterns(clothing,   button up _
0.27835054677808885)   0.27835054677808885
uncoupled_cpl    extractionPatterns(clothing,   calendar of _
0.5409626723612054)    0.5409626723612054
uncoupled_cpl    extractionPatterns(clothing,   children with _
0.13130426701384926)   0.13130426701384926
uncoupled_cpl    extractionPatterns(clothing,   circle of _
0.1831765201639297)    0.1831765201639297
uncoupled_cpl    extractionPatterns(clothing,   clash of _
0.16915107981567584)   0.16915107981567584
uncoupled_cpl    extractionPatterns(clothing,   comprehensive range of _
0.11693290151713012)   0.11693290151713012
uncoupled_cpl    extractionPatterns(clothing,   difference between _
0.5770150093927345)    0.5770150093927345
uncoupled_cpl    extractionPatterns(clothing,   diverse range of _
0.14390110301050782)   0.14390110301050782
uncoupled_cpl    extractionPatterns(clothing,   extra pair of _
0.15493493877828823)   0.15493493877828823
uncoupled_cpl    extractionPatterns(clothing,   favorite pair of _
0.32881072424996594)   0.32881072424996594
uncoupled_cpl    extractionPatterns(clothing,   first pair of _
0.1912776962054316)    0.1912776962054316
uncoupled_cpl    extractionPatterns(clothing,   good pair of _
0.2394796103483926)    0.2394796103483926
uncoupled_cpl    extractionPatterns(clothing,   health related _
0.13915734606297583)   0.13915734606297583
uncoupled_cpl    extractionPatterns(clothing,   huge range of _
0.1549739873027678)    0.1549739873027678
uncoupled_cpl    extractionPatterns(clothing,   individuals with _
0.23469346982742262)   0.23469346982742262
uncoupled_cpl    extractionPatterns(clothing,   information on specific _
0.1469477790317079)    0.1469477790317079
uncoupled_cpl    extractionPatterns(clothing,   large range of _
0.14135596436682457)   0.14135596436682457
uncoupled_cpl    extractionPatterns(clothing,   myriad of _
0.14844630034141013)   0.14844630034141013
uncoupled_cpl    extractionPatterns(clothing,   new pair of _
0.30996062676653036)   0.30996062676653036
uncoupled_cpl    extractionPatterns(clothing,   old pair of _
0.3064646085286785)    0.3064646085286785
uncoupled_cpl    extractionPatterns(clothing,   pair of black _
0.28013686266562204)   0.28013686266562204
uncoupled_cpl    extractionPatterns(clothing,   pairs of _
0.15237495294366665)   0.15237495294366665
uncoupled_cpl    extractionPatterns(clothing,   palette of _
0.19751099999790733)   0.19751099999790733
uncoupled_cpl    extractionPatterns(clothing,   people from different _
0.18889801740566997)   0.18889801740566997
uncoupled_cpl    extractionPatterns(clothing,   persons with _
0.5130766652732809)    0.5130766652732809
uncoupled_cpl    extractionPatterns(clothing,   rainbow of _
0.3986529659804411)    0.3986529659804411
uncoupled_cpl    extractionPatterns(clothing,   range of different _
0.12640996036726934)   0.12640996036726934
uncoupled_cpl    extractionPatterns(clothing, range of other _
0.14946261265537492)   0.14946261265537492
uncoupled_cpl    extractionPatterns(clothing, _ ranging from
0.13815334708524188)   0.13815334708524188
uncoupled_cpl    extractionPatterns(clothing, selection of _
0.7461340524114948)    0.7461340524114948
uncoupled_cpl    extractionPatterns(clothing, students with _
0.15592689552469108)   0.15592689552469108
uncoupled_cpl    extractionPatterns(clothing, suit of _
0.3420231001165842)    0.3420231001165842
uncoupled_cpl    extractionPatterns(clothing, _ taking place
0.12187943019583292)   0.12187943019583292
uncoupled_cpl    extractionPatterns(clothing, variety of _
0.5670101920608385)    0.5670101920608385
uncoupled_cpl    extractionPatterns(clothing, vast array of _
0.1407115821777405)    0.1407115821777405
uncoupled_cpl    extractionPatterns(clothing, vast range of _
0.14974551385468846)   0.14974551385468846
uncoupled_cpl    extractionPatterns(clothing, whole range of _
0.14420245922670172)   0.14420245922670172
uncoupled_cpl    extractionPatterns(clothing, wide array of _
0.14163371865151625)   0.14163371865151625
uncoupled_cpl    extractionPatterns(clothing, wide range of _
0.13664567736536157)   0.13664567736536157
uncoupled_cpl    extractionPatterns(clothing, wider range of _
0.15393974798133245)   0.15393974798133245
uncoupled_cpl    extractionPatterns(clothing, wide spectrum of _
0.1493035197049303)    0.1493035197049303
uncoupled_cpl    extractionPatterns(clothing, women with _
0.15555623077935535)   0.15555623077935535
uncoupled_cpl    extractionPatterns(clothing, _ worn by
0.14694954241563654)   0.14694954241563654
uncoupled_cpl    extractionPatterns(coach, _ asked as
0.07542579150935216)   0.07542579150935216
uncoupled_cpl    extractionPatterns(coach, _ asked with
0.07822413870268374)   0.07822413870268374
uncoupled_cpl    extractionPatterns(coach, assistant under _
0.008625649625521464) 0.008625649625521464
uncoupled_cpl    extractionPatterns(coach, _ became head coach
0.004874084436830824) 0.004874084436830824
uncoupled_cpl    extractionPatterns(coach, _ brings a wealth
0.06843636113907545)   0.06843636113907545
uncoupled_cpl    extractionPatterns(coach, cat named _
0.10017967051379793)   0.10017967051379793
uncoupled_cpl    extractionPatterns(coach, coach like _
0.008177571950473346) 0.008177571950473346
uncoupled_cpl    extractionPatterns(coach, coach since _
0.005686433663610058) 0.005686433663610058
uncoupled_cpl    extractionPatterns(coach, coach than _
0.006498778778259653) 0.006498778778259653
uncoupled_cpl    extractionPatterns(coach, coach under _
0.011682246298454869) 0.011682246298454869
uncoupled_cpl    extractionPatterns(coach, daughter named _
0.03525506754198619)   0.03525506754198619
uncoupled_cpl    extractionPatterns(coach, descendants of _
0.04954995135213813)   0.04954995135213813
uncoupled_cpl    extractionPatterns(coach, dog named _
0.09915847015299141)   0.09915847015299141
uncoupled_cpl    extractionPatterns(coach, _ earned a Bachelor
0.015161726803660075) 0.015161726803660075
uncoupled_cpl    extractionPatterns(coach, _ enjoys spending time
0.038827559038039375) 0.038827559038039375
uncoupled_cpl    extractionPatterns(coachesTeam, arg1 as the head coach
of arg2 0.00451467083289063) 0.00451467083289063
uncoupled_cpl    extractionPatterns(coachesTeam, arg1 at the helm arg2
0.00451467083289063)   0.00451467083289063
uncoupled_cpl    extractionPatterns(coachesTeam, arg1 bolting arg2
0.00451467083289063)   0.00451467083289063
uncoupled_cpl    extractionPatterns(coachesTeam, arg1 departure from arg2
0.003384094202525097) 0.003384094202525097
uncoupled_cpl    extractionPatterns(coachesTeam, arg1 era at arg2
0.03424656538610542)   0.03424656538610542
uncoupled_cpl    extractionPatterns(coachesTeam, arg1 has coached arg2
0.003384094202525097) 0.003384094202525097
uncoupled_cpl    extractionPatterns(coachesTeam, arg1 is still coaching
arg2 0.00451467083289063)    0.00451467083289063
uncoupled_cpl    extractionPatterns(coachesTeam, arg1 is the head coach
of arg2 0.02083333356058106) 0.02083333356058106
uncoupled_cpl    extractionPatterns(coachesTeam, arg1 left the University
of arg2 0.003384094202525097)      0.003384094202525097
uncoupled_cpl    extractionPatterns(coachesTeam, arg1 was hired at arg2
0.011627910421552923) 0.011627910421552923
uncoupled_cpl    extractionPatterns(coachesTeam, arg1 was named head
coach of arg2 0.003384094202525097)      0.003384094202525097
uncoupled_cpl    extractionPatterns(coachesTeam, arg2 after coach arg1
0.04166665959783167)   0.04166665959783167
uncoupled_cpl    extractionPatterns(coachesTeam, arg2 and coach arg1
0.004278379339898654) 0.004278379339898654
uncoupled_cpl    extractionPatterns(coachesTeam, arg2 and former coach
arg1 0.02083333356058106)    0.02083333356058106
uncoupled_cpl    extractionPatterns(coachesTeam, arg2 and head coach arg1
0.027972035500421058) 0.027972035500421058
uncoupled_cpl    extractionPatterns(coachesTeam, arg2 and new coach arg1
0.020547952048772924) 0.020547952048772924
uncoupled_cpl    extractionPatterns(coachesTeam, arg2 basketball coach
arg1 0.06047198977976489)    0.06047198977976489
uncoupled_cpl    extractionPatterns(coachesTeam, arg2 coach arg1
0.003705007484974853) 0.003705007484974853
uncoupled_cpl    extractionPatterns(coachesTeam, arg2 counterpart arg1
0.005102039077707019) 0.005102039077707019
uncoupled_cpl    extractionPatterns(coachesTeam, arg2 defense under arg1
0.011627910421552923) 0.011627910421552923
uncoupled_cpl    extractionPatterns(coachesTeam, arg2 fired coach arg1
0.011627910421552923) 0.011627910421552923
uncoupled_cpl    extractionPatterns(coachesTeam, arg2 football coach arg1
0.06913342126095245)   0.06913342126095245
uncoupled_cpl    extractionPatterns(coachesTeam, arg2 football head coach
arg1 0.011627910421552923)   0.011627910421552923
uncoupled_cpl    extractionPatterns(coachesTeam, arg2 football is arg1
0.007999997898418687) 0.007999997898418687
uncoupled_cpl    extractionPatterns(coachesTeam, arg2 head basketball
coach arg1 0.03424656538610542)    0.03424656538610542
uncoupled_cpl    extractionPatterns(coachesTeam, arg2 head coach arg1
0.005113219673946176) 0.005113219673946176
uncoupled_cpl    extractionPatterns(coachesTeam, arg2 head football coach
arg1 0.12738847538782505)    0.12738847538782505
uncoupled_cpl    extractionPatterns(coachesTeam, arg2 head man arg1
0.027397267413383004) 0.027397267413383004
uncoupled_cpl    extractionPatterns(coachesTeam, arg2 is coached by arg1
0.008021386433795802) 0.008021386433795802
uncoupled_cpl    extractionPatterns(coachesTeam, arg2 signed coach arg1
0.008021386433795802) 0.008021386433795802
uncoupled_cpl    extractionPatterns(coachesTeam, arg2 under coach arg1
0.010438410072827399) 0.010438410072827399
uncoupled_cpl    extractionPatterns(coachesTeam, arg2 under head coach
arg1 0.018475754019818404)   0.018475754019818404
uncoupled_cpl    extractionPatterns(coachesTeam, arg2 University
basketball coach arg1 0.02083333356058106)    0.02083333356058106
uncoupled_cpl    extractionPatterns(coachesTeam, arg2 University coach
arg1 0.02083333356058106)    0.02083333356058106
uncoupled_cpl    extractionPatterns(coachesTeam, arg2 University football
coach arg1 0.027397267413383004) 0.027397267413383004
uncoupled_cpl    extractionPatterns(coachesTeam, arg2 University head
coach arg1 0.03424656538610542)    0.03424656538610542
uncoupled_cpl    extractionPatterns(coachesTeam, arg2 with coach arg1
0.006681511797823331) 0.006681511797823331
uncoupled_cpl    extractionPatterns(coach, friend named _
0.06781329580113095)   0.06781329580113095
uncoupled_cpl    extractionPatterns(coach, _ frowned at
0.08543486553241297)   0.08543486553241297
uncoupled_cpl    extractionPatterns(coach, girl called _
0.1041226237379205)    0.1041226237379205
uncoupled_cpl    extractionPatterns(coach, girl named _
0.010307948317796889) 0.010307948317796889
uncoupled_cpl    extractionPatterns(coach, grandparents are _
0.03981749063645162)   0.03981749063645162
uncoupled_cpl    extractionPatterns(coach, _ grinned at
0.07515655056863273)   0.07515655056863273
uncoupled_cpl    extractionPatterns(coach, guy named _
0.018817951457103955) 0.018817951457103955
uncoupled_cpl    extractionPatterns(coach, _ has a B.A.
0.0688734855593366)    0.0688734855593366
uncoupled_cpl    extractionPatterns(coach, head coach is _
0.010514016576226503) 0.010514016576226503
uncoupled_cpl    extractionPatterns(coach, hiring of _
0.009686723910271028) 0.009686723910271028
uncoupled_cpl    extractionPatterns(coach, _ holds a B.A.
0.015498655511697133) 0.015498655511697133
uncoupled_cpl    extractionPatterns(coach, _ holds a bachelor
0.008913172858914683) 0.008913172858914683
uncoupled_cpl    extractionPatterns(coach, _ holds a Bachelor
0.0653562633730257)    0.0653562633730257
uncoupled_cpl    extractionPatterns(coach, _ is a great coach
0.009345792845438503) 0.009345792845438503
uncoupled_cpl    extractionPatterns(coach, _ is a great guy
0.04645375394908361)   0.04645375394908361
uncoupled_cpl    extractionPatterns(coach, _ is married with
0.07577680771286228)   0.07577680771286228
uncoupled_cpl    extractionPatterns(coach, _ is the coach
0.004874084436830824) 0.004874084436830824
uncoupled_cpl    extractionPatterns(coach, lady named _
0.08058965399932111)   0.08058965399932111
uncoupled_cpl    extractionPatterns(coach, law firm of _
0.015835579555636456) 0.015835579555636456
uncoupled_cpl    extractionPatterns(coach, middle name is _
0.07963711706715002)   0.07963711706715002
uncoupled_cpl    extractionPatterns(coach, More quotes added by _
0.0704751580038558)    0.0704751580038558
uncoupled_cpl    extractionPatterns(coach, _ paid for
0.026911057967084262) 0.026911057967084262
uncoupled_cpl    extractionPatterns(coach, _ raised an eyebrow
0.07358736052442728)   0.07358736052442728
uncoupled_cpl    extractionPatterns(coach, romance between _
0.07668554882726025)   0.07668554882726025
uncoupled_cpl    extractionPatterns(coach, season under _
0.005686433663610058) 0.005686433663610058
uncoupled_cpl    extractionPatterns(coach, sense of _
0.012751950993320075) 0.012751950993320075
uncoupled_cpl    extractionPatterns(coach, sister named _
0.0928991298248572)    0.0928991298248572
uncoupled_cpl    extractionPatterns(coach, _ smiled as
0.07549121402715413)   0.07549121402715413
uncoupled_cpl    extractionPatterns(coach, someone named _
0.07716702889741558)   0.07716702889741558
uncoupled_cpl    extractionPatterns(coach, time of _ 0.22357284267931543)
      0.22357284267931543
uncoupled_cpl    extractionPatterns(coach, _ walks into
0.06475068495518409)   0.06475068495518409
uncoupled_cpl    extractionPatterns(coach, _ was the coach
0.009345792845438503) 0.009345792845438503
uncoupled_cpl    extractionPatterns(coach, woman called _
0.07308464419683987)   0.07308464419683987
uncoupled_cpl    extractionPatterns(coach, woman named _
0.10355721676907281)   0.10355721676907281
uncoupled_cpl    extractionPatterns(coach, works of _
0.31188804053868957)   0.31188804053868957
uncoupled_cpl    extractionPatterns(company, alliance with _
0.10013309779600511)   0.10013309779600511
uncoupled_cpl    extractionPatterns(company, boycott of _
0.0920531639328197)    0.0920531639328197
uncoupled_cpl    extractionPatterns(company, brands including _
0.11127574154799724)   0.11127574154799724
uncoupled_cpl    extractionPatterns(company, brands like _
0.09431556921013898)   0.09431556921013898
uncoupled_cpl    extractionPatterns(company, career at _
0.09851494661810578)   0.09851494661810578
uncoupled_cpl    extractionPatterns(company, centers in _
0.19269551082865305)   0.19269551082865305
uncoupled_cpl    extractionPatterns(company, children of _
0.10211731291184954)   0.10211731291184954
uncoupled_cpl    extractionPatterns(company, citizen of _
0.22196867736829728)   0.22196867736829728
uncoupled_cpl    extractionPatterns(company, city in _
0.2113002861764884)    0.2113002861764884
uncoupled_cpl    extractionPatterns(company, clients include _
0.12517907085309343)   0.12517907085309343
uncoupled_cpl    extractionPatterns(company, clients such as _
0.10982654734853664)   0.10982654734853664
uncoupled_cpl    extractionPatterns(company, companies including _
0.14139187334202052)   0.14139187334202052
uncoupled_cpl    extractionPatterns(company, company like _
0.11986957527294866)   0.11986957527294866
uncoupled_cpl    extractionPatterns(company, country of _
0.30283535621043556)   0.30283535621043556
uncoupled_cpl    extractionPatterns(company, crisis in _
0.22349125348267168)   0.22349125348267168
uncoupled_cpl    extractionPatterns(companyEconomicSector, arg1 mainframe
arg2 0.04614092401980575)    0.04614092401980575
uncoupled_cpl    extractionPatterns(companyEconomicSector, arg1 or Yahoo
arg2 0.049122799681219805)   0.049122799681219805
uncoupled_cpl    extractionPatterns(companyEconomicSector, arg1 Windows
operating arg2 0.42044777696195) 0.42044777696195
uncoupled_cpl    extractionPatterns(companyEconomicSector, arg2 behemoth
arg1 0.046138432477180934)   0.046138432477180934
uncoupled_cpl    extractionPatterns(companyEconomicSector, arg2 chains
such as arg1 0.043147189363225404) 0.043147189363225404
uncoupled_cpl    extractionPatterns(companyEconomicSector, arg2 companies
from arg1 7.797267657271065E-4)    7.797267657271065E-4
uncoupled_cpl    extractionPatterns(companyEconomicSector, arg2 companies
including arg1 0.042731069516493254)     0.042731069516493254
uncoupled_cpl    extractionPatterns(companyEconomicSector, arg2 companies
like arg1 0.0014786644459507314) 0.0014786644459507314
uncoupled_cpl    extractionPatterns(companyEconomicSector, arg2 companies
such as arg1 0.0011074192175161515)      0.0011074192175161515
uncoupled_cpl    extractionPatterns(companyEconomicSector, arg2 company
called arg1 3.557451337270095E-4) 3.557451337270095E-4
uncoupled_cpl    extractionPatterns(companyEconomicSector, arg2 company
like arg1 0.04982616656056558)     0.04982616656056558
uncoupled_cpl    extractionPatterns(companyEconomicSector, arg2
conglomerate arg1 0.04857141936360984) 0.04857141936360984
uncoupled_cpl    extractionPatterns(companyEconomicSector, arg2 developer
at arg1 0.03949042663976917) 0.03949042663976917
uncoupled_cpl    extractionPatterns(companyEconomicSector, arg2 engine
like arg1 0.4461393195805827)      0.4461393195805827
uncoupled_cpl    extractionPatterns(companyEconomicSector, arg2 engines
including arg1 0.2998679703593511) 0.2998679703593511
uncoupled_cpl    extractionPatterns(companyEconomicSector, arg2 engines
like arg1 0.3732779360319681)      0.3732779360319681
uncoupled_cpl    extractionPatterns(companyEconomicSector, arg2 engines
such as arg1 0.42576318118533873) 0.42576318118533873
uncoupled_cpl    extractionPatterns(companyEconomicSector, arg2 firms
like arg1 0.0420382231317529)      0.0420382231317529
uncoupled_cpl    extractionPatterns(companyEconomicSector, arg2 firms
such as arg1 0.041825084993055706) 0.041825084993055706
uncoupled_cpl    extractionPatterns(companyEconomicSector, arg2 giant
arg1 0.0014739299648707641) 0.0014739299648707641
uncoupled_cpl    extractionPatterns(companyEconomicSector, arg2 giants
arg1 3.557451337270095E-4)   3.557451337270095E-4
uncoupled_cpl    extractionPatterns(companyEconomicSector, arg2 giants
like arg1 3.557451337270095E-4)    3.557451337270095E-4
uncoupled_cpl    extractionPatterns(companyEconomicSector, arg2 giants
such as arg1 0.05333332012887736) 0.05333332012887736
uncoupled_cpl    extractionPatterns(companyEconomicSector, arg2 leaders
like arg1 0.05250599108450233)     0.05250599108450233
uncoupled_cpl    extractionPatterns(companyEconomicSector, arg2 leaders
such as arg1 0.053637008074747604) 0.053637008074747604
uncoupled_cpl    extractionPatterns(companyEconomicSector, arg2 makers
like arg1 0.04413240319550432)     0.04413240319550432
uncoupled_cpl    extractionPatterns(companyEconomicSector, arg2 makers
such as arg1 0.05214369531760229) 0.05214369531760229
uncoupled_cpl    extractionPatterns(companyEconomicSector, arg2
manufacturers like arg1 3.557451337270095E-4) 3.557451337270095E-4
uncoupled_cpl    extractionPatterns(companyEconomicSector, arg2
manufacturers such as arg1 0.0015594548093334237) 0.0015594548093334237
uncoupled_cpl    extractionPatterns(companyEconomicSector, arg2 on Google
or arg1 0.0420382231317529) 0.0420382231317529
uncoupled_cpl    extractionPatterns(companyEconomicSector, arg2 outlets
including arg1 0.05151913432629762)      0.05151913432629762
uncoupled_cpl    extractionPatterns(companyEconomicSector, arg2 outlets
like arg1 0.05975610007955608)     0.05975610007955608
uncoupled_cpl    extractionPatterns(companyEconomicSector, arg2 outlets
such as arg1 0.06340820560293288) 0.06340820560293288
uncoupled_cpl    extractionPatterns(companyEconomicSector, arg2 partners
such as arg1 0.03949042663976917) 0.03949042663976917
uncoupled_cpl    extractionPatterns(companyEconomicSector, arg2 publisher
arg1 3.5329434851679006E-4) 3.5329434851679006E-4
uncoupled_cpl    extractionPatterns(companyEconomicSector, arg2 rankings
in arg1 0.04568528610464988) 0.04568528610464988
uncoupled_cpl    extractionPatterns(companyEconomicSector, arg2 rankings
on arg1 0.05413106735524116) 0.05413106735524116
uncoupled_cpl    extractionPatterns(companyEconomicSector, arg2 search
engines such as arg1 0.0498575669355783)       0.0498575669355783
uncoupled_cpl    extractionPatterns(companyEconomicSector, arg2 sharing
site arg1 0.05840457810567516)     0.05840457810567516
uncoupled_cpl    extractionPatterns(companyEconomicSector, arg2 sharing
sites like arg1 0.05853660464490511)     0.05853660464490511
uncoupled_cpl    extractionPatterns(companyEconomicSector, arg2 sharing
sites such as arg1 0.059829047010233005)       0.059829047010233005
uncoupled_cpl    extractionPatterns(companyEconomicSector, arg2 site like
arg1 0.0527210749078553)     0.0527210749078553
uncoupled_cpl    extractionPatterns(companyEconomicSector, arg2 sites
like arg1 0.04832607543109138)     0.04832607543109138
uncoupled_cpl    extractionPatterns(companyEconomicSector, arg2 sites
like MySpace and arg1 0.048667442708693644)    0.048667442708693644
uncoupled_cpl    extractionPatterns(companyEconomicSector, arg2 sites
such as arg1 0.05590575234004799) 0.05590575234004799
uncoupled_cpl    extractionPatterns(companyEconomicSector, arg2 sites
such as MySpace and arg1 0.05853660464490511) 0.05853660464490511
uncoupled_cpl    extractionPatterns(companyEconomicSector, arg2 site such
as arg1 0.05076140282964514) 0.05076140282964514
uncoupled_cpl    extractionPatterns(companyEconomicSector, arg2 vendors
like arg1 0.05853660464490511)     0.05853660464490511
uncoupled_cpl    extractionPatterns(companyEconomicSector, arg2 vendors
such as arg1 0.04814442169968994) 0.04814442169968994
uncoupled_cpl    extractionPatterns(companyEconomicSector, arg2 websites
such as arg1 0.0555555421053441) 0.0555555421053441
uncoupled_cpl    extractionPatterns(company, education in _
0.10408837302926122)   0.10408837302926122
uncoupled_cpl    extractionPatterns(company, engineer at _
0.11135533215345479)   0.11135533215345479
uncoupled_cpl    extractionPatterns(company, flag of _
0.20221637328130684)   0.20221637328130684
uncoupled_cpl    extractionPatterns(company, folks at _
0.10031470345424832)   0.10031470345424832
uncoupled_cpl    extractionPatterns(company, giants like _
0.10714288087576275)   0.10714288087576275
uncoupled_cpl    extractionPatterns(company, heads of _
0.15856954693137668)   0.15856954693137668
uncoupled_cpl    extractionPatterns(company, hospitals in _
0.2294043756831386)    0.2294043756831386
uncoupled_cpl    extractionPatterns(company, industry in _
0.18866694767588865)   0.18866694767588865
uncoupled_cpl    extractionPatterns(company, institutions in _
0.22496352523176968)   0.22496352523176968
uncoupled_cpl    extractionPatterns(company, kind in _
0.20398129102609444)   0.20398129102609444
uncoupled_cpl    extractionPatterns(company, lawsuit against _
0.11891408754593068)   0.11891408754593068
uncoupled_cpl    extractionPatterns(company, manufacturers such as _
0.1063583740453427)    0.1063583740453427
uncoupled_cpl    extractionPatterns(company, markets in _
0.1953190311739273)    0.1953190311739273
uncoupled_cpl    extractionPatterns(company, minister of _
0.23925388752087423)   0.23925388752087423
uncoupled_cpl    extractionPatterns(company, move by _
0.11290539763263772)   0.11290539763263772
uncoupled_cpl    extractionPatterns(company, places like _
0.10591970202558021)   0.10591970202558021
uncoupled_cpl    extractionPatterns(company, positions at _
0.1044144712117651)    0.1044144712117651
uncoupled_cpl    extractionPatterns(company, poverty in _
0.24298975427690972)   0.24298975427690972
uncoupled_cpl    extractionPatterns(company, regime in _
0.21581429207816807)   0.21581429207816807
uncoupled_cpl    extractionPatterns(company, regions in _
0.19491533386730311)   0.19491533386730311
uncoupled_cpl    extractionPatterns(company, search on _
0.09766002151924888)   0.09766002151924888
uncoupled_cpl    extractionPatterns(company, sector in _
0.20267774993501878)   0.20267774993501878
uncoupled_cpl    extractionPatterns(company, services like _
0.1037050984058555)    0.1037050984058555
uncoupled_cpl    extractionPatterns(company, sites like _
0.104885185345739)     0.104885185345739
uncoupled_cpl    extractionPatterns(company, sites such as _
0.10019439800780776)   0.10019439800780776
uncoupled_cpl    extractionPatterns(company, subsidiary of _
0.0933816892071245)    0.0933816892071245
uncoupled_cpl    extractionPatterns(company, technology from _
0.12318019446728216)   0.12318019446728216
uncoupled_cpl    extractionPatterns(company, towns in _
0.20993107844800873)   0.20993107844800873
uncoupled_cpl    extractionPatterns(company, travel in _
0.21183576456284461)   0.21183576456284461
uncoupled_cpl    extractionPatterns(company, university in _
0.2263445235506747)    0.2263445235506747
uncoupled_cpl    extractionPatterns(company, vacation in _
0.2289096259105988)    0.2289096259105988
uncoupled_cpl    extractionPatterns(company, vendors such as _
0.11227107718096788)   0.11227107718096788
uncoupled_cpl    extractionPatterns(company, version of _
0.24759225969230064)   0.24759225969230064
uncoupled_cpl    extractionPatterns(company, war between _
0.09611729600113957)   0.09611729600113957
uncoupled_cpl    extractionPatterns(company, world , including _
0.12017971878830536)   0.12017971878830536
uncoupled_cpl    extractionPatterns(competesWith, arg1 Add to My arg2
0.019359635979930873) 0.019359635979930873
uncoupled_cpl    extractionPatterns(competesWith, arg1 and MSN and arg2
0.009957323185330998) 0.009957323185330998
uncoupled_cpl    extractionPatterns(competesWith, arg1 and rival arg2
0.00696517184086111)   0.00696517184086111
uncoupled_cpl    extractionPatterns(competesWith, arg1 and Yahoo and arg2
0.012552304559792083) 0.012552304559792083
uncoupled_cpl    extractionPatterns(competesWith, arg1 bid for arg2
0.03504042093503301)   0.03504042093503301
uncoupled_cpl    extractionPatterns(competesWith, arg1 buyout of arg2
0.0181818215496816)    0.0181818215496816
uncoupled_cpl    extractionPatterns(competesWith, arg1 Google and arg2
0.00912646358042246)   0.00912646358042246
uncoupled_cpl    extractionPatterns(competesWith, arg1 Instant Messenger
and arg2 0.02545454414646842)      0.02545454414646842
uncoupled_cpl    extractionPatterns(competesWith, arg1 is ahead of arg2
0.007001170007256656) 0.007001170007256656
uncoupled_cpl    extractionPatterns(competesWith, arg1 is going after
arg2 0.00823045483770072)    0.00823045483770072
uncoupled_cpl    extractionPatterns(competesWith, arg1 is in talks with
arg2 0.008578433138923655)   0.008578433138923655
uncoupled_cpl    extractionPatterns(competesWith, arg1 is trying to buy
arg2 0.021937846127253947)   0.021937846127253947
uncoupled_cpl    extractionPatterns(competesWith, arg1 Messenger and arg2
0.007299269531592174) 0.007299269531592174
uncoupled_cpl    extractionPatterns(competesWith, arg1   messenger and arg2
0.0181818215496816)    0.0181818215496816
uncoupled_cpl    extractionPatterns(competesWith, arg1   messenger or arg2
0.018018018391934933) 0.018018018391934933
uncoupled_cpl    extractionPatterns(competesWith, arg1   Messenger or arg2
0.03747871901590571)   0.03747871901590571
uncoupled_cpl    extractionPatterns(competesWith, arg1   offers to buy arg2
0.023766006918623524) 0.023766006918623524
uncoupled_cpl    extractionPatterns(competesWith, arg1   offer to buy arg2
0.016216208698545776) 0.016216208698545776
uncoupled_cpl    extractionPatterns(competesWith, arg1   or Microsoft or
arg2 0.011157604450988332)   0.011157604450988332
uncoupled_cpl    extractionPatterns(competesWith, arg1   or MSN or arg2
0.018651363978316862) 0.018651363978316862
uncoupled_cpl    extractionPatterns(competesWith, arg1   or My arg2
0.019648387600261063) 0.019648387600261063
uncoupled_cpl    extractionPatterns(competesWith, arg1   or Yahoo or arg2
0.039182267273726715) 0.039182267273726715
uncoupled_cpl    extractionPatterns(competesWith, arg1   should buy arg2
0.013856816518814798) 0.013856816518814798
uncoupled_cpl    extractionPatterns(competesWith, arg1   takeover of arg2
0.0367393827436153)    0.0367393827436153
uncoupled_cpl    extractionPatterns(competesWith, arg1   wants to buy arg2
0.03945576926199469)   0.03945576926199469
uncoupled_cpl    extractionPatterns(competesWith, arg2   acquisition of
arg1 0.017215571240906714)   0.017215571240906714
uncoupled_cpl    extractionPatterns(competesWith, arg2   Add to My arg1
0.02084883932818043)   0.02084883932818043
uncoupled_cpl    extractionPatterns(competesWith, arg2   and MSN and arg1
0.009957323185330998) 0.009957323185330998
uncoupled_cpl    extractionPatterns(competesWith, arg2   and rival arg1
0.008955226058122262) 0.008955226058122262
uncoupled_cpl    extractionPatterns(competesWith, arg2   and Yahoo and arg1
0.012552304559792083) 0.012552304559792083
uncoupled_cpl    extractionPatterns(competesWith, arg2   bid for arg1
0.03504042093503301)   0.03504042093503301
uncoupled_cpl    extractionPatterns(competesWith, arg2   buyout of arg1
0.018018018391934933) 0.018018018391934933
uncoupled_cpl    extractionPatterns(competesWith, arg2   Google and arg1
0.00912646358042246)   0.00912646358042246
uncoupled_cpl    extractionPatterns(competesWith, arg2   Instant Messenger
and arg1 0.02545454414646842)      0.02545454414646842
uncoupled_cpl    extractionPatterns(competesWith, arg2   is ahead of arg1
0.007001170007256656) 0.007001170007256656
uncoupled_cpl    extractionPatterns(competesWith, arg2   is going after
arg1 0.00823045483770072)    0.00823045483770072
uncoupled_cpl    extractionPatterns(competesWith, arg2   is in talks with
arg1 0.008578433138923655)   0.008578433138923655
uncoupled_cpl    extractionPatterns(competesWith, arg2   is trying to buy
arg1 0.021937846127253947)   0.021937846127253947
uncoupled_cpl    extractionPatterns(competesWith, arg2   Messenger and arg1
0.007299269531592174) 0.007299269531592174
uncoupled_cpl    extractionPatterns(competesWith, arg2   messenger and arg1
0.02162163165315766)   0.02162163165315766
uncoupled_cpl    extractionPatterns(competesWith, arg2 messenger or arg1
0.018018018391934933) 0.018018018391934933
uncoupled_cpl    extractionPatterns(competesWith, arg2 Messenger or arg1
0.03747871901590571)   0.03747871901590571
uncoupled_cpl    extractionPatterns(competesWith, arg2 offers to buy arg1
0.023766006918623524) 0.023766006918623524
uncoupled_cpl    extractionPatterns(competesWith, arg2 or Microsoft or
arg1 0.011157604450988332)   0.011157604450988332
uncoupled_cpl    extractionPatterns(competesWith, arg2 or MSN or arg1
0.018651363978316862) 0.018651363978316862
uncoupled_cpl    extractionPatterns(competesWith, arg2 or My arg1
0.019648387600261063) 0.019648387600261063
uncoupled_cpl    extractionPatterns(competesWith, arg2 or Yahoo or arg1
0.039182267273726715) 0.039182267273726715
uncoupled_cpl    extractionPatterns(competesWith, arg2 should buy arg1
0.013856816518814798) 0.013856816518814798
uncoupled_cpl    extractionPatterns(competesWith, arg2 takeover of arg1
0.0367393827436153)    0.0367393827436153
uncoupled_cpl    extractionPatterns(competesWith, arg2 wants to buy arg1
0.03945576926199469)   0.03945576926199469
uncoupled_cpl    extractionPatterns(conference, adjunct professor at _
0.2988358060713756)    0.2988358060713756
uncoupled_cpl    extractionPatterns(conference, annual meeting of _
0.13791551382041017)   0.13791551382041017
uncoupled_cpl    extractionPatterns(conference, Arts degree from _
0.3377230831210257)    0.3377230831210257
uncoupled_cpl    extractionPatterns(conference, associate professor at _
0.34221605555336826)   0.34221605555336826
uncoupled_cpl    extractionPatterns(conference, BFA from _
0.27463152194811297)   0.27463152194811297
uncoupled_cpl    extractionPatterns(conference, biology from _
0.33754312468090686)   0.33754312468090686
uncoupled_cpl    extractionPatterns(conference, business administration
from _ 0.336963049514107)    0.336963049514107
uncoupled_cpl    extractionPatterns(conference, campuses of _
0.2727788187242418)    0.2727788187242418
uncoupled_cpl    extractionPatterns(conference, chemistry from _
0.33824323910331067)   0.33824323910331067
uncoupled_cpl    extractionPatterns(conference, colleagues at _
0.11141804285686377)   0.11141804285686377
uncoupled_cpl    extractionPatterns(conference, creative writing at _
0.3489613876522554)    0.3489613876522554
uncoupled_cpl    extractionPatterns(conference, editorial board of _
0.11153442403401011)   0.11153442403401011
uncoupled_cpl    extractionPatterns(conference, fellow of _
0.007486049928042751) 0.007486049928042751
uncoupled_cpl    extractionPatterns(conference, graduate studies at _
0.3178127201612717)    0.3178127201612717
uncoupled_cpl    extractionPatterns(conference, graduate work at _
0.32442756113747684)   0.32442756113747684
uncoupled_cpl    extractionPatterns(conference, History at _
0.3819215721355222)    0.3819215721355222
uncoupled_cpl    extractionPatterns(conference, History from _
0.3329183547481298)    0.3329183547481298
uncoupled_cpl     extractionPatterns(conference, honors from _
0.13995210808562042)    0.13995210808562042
uncoupled_cpl     extractionPatterns(conference, JD from _
0.2862685278771368)     0.2862685278771368
uncoupled_cpl     extractionPatterns(conference, J.D. from _
0.5024957986396391)     0.5024957986396391
uncoupled_cpl     extractionPatterns(conference, laude from _
0.37511036111564633)    0.37511036111564633
uncoupled_cpl     extractionPatterns(conference, law degree from _
0.3938331250047252)     0.3938331250047252
uncoupled_cpl     extractionPatterns(conference, law school at _
0.36144586486788) 0.36144586486788
uncoupled_cpl     extractionPatterns(conference, lecturer at _
0.17942087070063903)    0.17942087070063903
uncoupled_cpl     extractionPatterns(conference, M.B.A. from _
0.38067510897026746)    0.38067510897026746
uncoupled_cpl     extractionPatterns(conference, M.D. from _
0.39828079793974563)    0.39828079793974563
uncoupled_cpl     extractionPatterns(conference, medical degree at _
0.29557785740619374)    0.29557785740619374
uncoupled_cpl     extractionPatterns(conference, medical degree from _
0.41509992691050346)    0.41509992691050346
uncoupled_cpl     extractionPatterns(conference, medical school at _
0.4385966855115998)     0.4385966855115998
uncoupled_cpl     extractionPatterns(conference, member at _
0.08374816658826384)    0.08374816658826384
uncoupled_cpl     extractionPatterns(conference, PhD student at _
0.32510567358816406)    0.32510567358816406
uncoupled_cpl     extractionPatterns(conference, philosophy at _
0.2797063433250794)     0.2797063433250794
uncoupled_cpl     extractionPatterns(conference, proceedings published by
_ 0.003753520798018015)       0.003753520798018015
uncoupled_cpl     extractionPatterns(conference, program at _
0.08099563618663834)    0.08099563618663834
uncoupled_cpl     extractionPatterns(conference, psychiatry at _
0.3357531706965501)     0.3357531706965501
uncoupled_cpl     extractionPatterns(conference, psychology at _
0.33366159107972454)    0.33366159107972454
uncoupled_cpl     extractionPatterns(conference, research at _
0.08135979881664424)    0.08135979881664424
uncoupled_cpl     extractionPatterns(conference, research fellow at _
0.2833608798193217)     0.2833608798193217
uncoupled_cpl     extractionPatterns(conference, research group at _
0.2863277915959907)     0.2863277915959907
uncoupled_cpl     extractionPatterns(conference, scholar at _
0.2681131998906912)     0.2681131998906912
uncoupled_cpl     extractionPatterns(conference, Science degree from _
0.3470643741357268)     0.3470643741357268
uncoupled_cpl     extractionPatterns(conference, secretary of _
0.2890975802315156)     0.2890975802315156
uncoupled_cpl     extractionPatterns(conference, sociology at _
0.362485067006772)      0.362485067006772
uncoupled_cpl     extractionPatterns(conference, special issue of _
0.1017988980072944)     0.1017988980072944
uncoupled_cpl    extractionPatterns(conference, Student Chapter of _
0.007194244123242404) 0.007194244123242404
uncoupled_cpl    extractionPatterns(conference, student chapter of _
0.009383795127285394) 0.009383795127285394
uncoupled_cpl    extractionPatterns(conference, Studies at _
0.379356076172743)     0.379356076172743
uncoupled_cpl    extractionPatterns(conference, study at _
0.09935400487765905)   0.09935400487765905
uncoupled_cpl    extractionPatterns(conference, undergraduate degree at _
0.30876648492365427)   0.30876648492365427
uncoupled_cpl    extractionPatterns(conference, version appeared in _
0.003753520798018015) 0.003753520798018015
uncoupled_cpl    extractionPatterns(country, attacks in _
0.345743883196294)     0.345743883196294
uncoupled_cpl    extractionPatterns(country, banks in _
0.34033665142443426)   0.34033665142443426
uncoupled_cpl    extractionPatterns(country, bases in _ 0.34381725439124)
      0.34381725439124
uncoupled_cpl    extractionPatterns(country, border with _
0.5225069467584857)    0.5225069467584857
uncoupled_cpl    extractionPatterns(country, camps in _
0.4083910939923686)    0.4083910939923686
uncoupled_cpl    extractionPatterns(country, capital city of _
0.3442841311096582)    0.3442841311096582
uncoupled_cpl    extractionPatterns(country, capital of _
0.3349871855427149)    0.3349871855427149
uncoupled_cpl    extractionPatterns(country, churches in _
0.33588682705433826)   0.33588682705433826
uncoupled_cpl    extractionPatterns(country, cities in _
0.4283023104109673)    0.4283023104109673
uncoupled_cpl    extractionPatterns(country, coasts of _
0.40400824209655206)   0.40400824209655206
uncoupled_cpl    extractionPatterns(country, conflict in _
0.3395147115270971)    0.3395147115270971
uncoupled_cpl    extractionPatterns(country, conquest of _
0.39384494017570204)   0.39384494017570204
uncoupled_cpl    extractionPatterns(country, countries , including _
0.3062746593617172)    0.3062746593617172
uncoupled_cpl    extractionPatterns(country, countries of _
0.35724873611323993)   0.35724873611323993
uncoupled_cpl    extractionPatterns(country, country like _
0.3750315962104166)    0.3750315962104166
uncoupled_cpl    extractionPatterns(country, courts of _
0.3743915889658652)    0.3743915889658652
uncoupled_cpl    extractionPatterns(country, crisis in _
0.34067647694728614)   0.34067647694728614
uncoupled_cpl    extractionPatterns(country, democracy in _
0.34502272312130455)   0.34502272312130455
uncoupled_cpl    extractionPatterns(country, destinations in _
0.417612211810515)     0.417612211810515
uncoupled_cpl    extractionPatterns(country, east coast of _
0.5459564873014623)    0.5459564873014623
uncoupled_cpl    extractionPatterns(country, exile in _
0.36752240360385635)   0.36752240360385635
uncoupled_cpl    extractionPatterns(country,   festivals in _
0.31070791132530107)   0.31070791132530107
uncoupled_cpl    extractionPatterns(country,   forces in _
0.32763437588970373)   0.32763437588970373
uncoupled_cpl    extractionPatterns(country,   government of _
0.3526472547460866)    0.3526472547460866
uncoupled_cpl    extractionPatterns(country,   governments of _
0.40002069328490863)   0.40002069328490863
uncoupled_cpl    extractionPatterns(country,   higher education in _
0.3585364322419442)    0.3585364322419442
uncoupled_cpl    extractionPatterns(country,   holiday in _
0.3738734155330808)    0.3738734155330808
uncoupled_cpl    extractionPatterns(country,   holidays in _
0.37133078865525293)   0.37133078865525293
uncoupled_cpl    extractionPatterns(country,   immigrants from _
0.433954755637191)     0.433954755637191
uncoupled_cpl    extractionPatterns(country,   invasion of _
0.27881884754374087)   0.27881884754374087
uncoupled_cpl    extractionPatterns(country,   _ is a country
0.3513480329176964)    0.3513480329176964
uncoupled_cpl    extractionPatterns(country,   kings of _
0.3124724417794756)    0.3124724417794756
uncoupled_cpl    extractionPatterns(country,   nation of _
0.3516035558089443)    0.3516035558089443
uncoupled_cpl    extractionPatterns(country,   occupation of _
0.3522637831792829)    0.3522637831792829
uncoupled_cpl    extractionPatterns(country,   operations in _
0.3421397498813786)    0.3421397498813786
uncoupled_cpl    extractionPatterns(country,   peoples of _
0.3674500088214666)    0.3674500088214666
uncoupled_cpl    extractionPatterns(country,   place in _
0.6543034789919954)    0.6543034789919954
uncoupled_cpl    extractionPatterns(country,   poverty in _
0.347406053558583)     0.347406053558583
uncoupled_cpl    extractionPatterns(country,   sector in _
0.34121687731740696)   0.34121687731740696
uncoupled_cpl    extractionPatterns(country,   situation in _
0.34077596900368806)   0.34077596900368806
uncoupled_cpl    extractionPatterns(country,   slavery in _
0.39162638232503266)   0.39162638232503266
uncoupled_cpl    extractionPatterns(country,   tours in _
0.36507918635932646)   0.36507918635932646
uncoupled_cpl    extractionPatterns(country,   trade with _
0.3759959150048738)    0.3759959150048738
uncoupled_cpl    extractionPatterns(country,   tribes of _
0.35273542758091825)   0.35273542758091825
uncoupled_cpl    extractionPatterns(country,   troops from _
0.27991592185359093)   0.27991592185359093
uncoupled_cpl    extractionPatterns(country,   troops in _
0.3683587321545696)    0.3683587321545696
uncoupled_cpl    extractionPatterns(country,   universities in _
0.34675458399150993)   0.34675458399150993
uncoupled_cpl    extractionPatterns(country,   war in _ 0.4040163223421962)
      0.4040163223421962
uncoupled_cpl    extractionPatterns(country, wars in _
0.4430826311645774)    0.4430826311645774
uncoupled_cpl    extractionPatterns(country, west coast of _
0.6706687031025589)    0.6706687031025589
uncoupled_cpl    extractionPatterns(economicSector, abuse of _
0.12611513744952166)   0.12611513744952166
uncoupled_cpl    extractionPatterns(economicSector, advances in _
0.21589135153473454)   0.21589135153473454
uncoupled_cpl    extractionPatterns(economicSector, balance of _
0.11657423483775588)   0.11657423483775588
uncoupled_cpl    extractionPatterns(economicSector, bits of _
0.25426633457528824)   0.25426633457528824
uncoupled_cpl    extractionPatterns(economicSector, career in _
0.17229347606124779)   0.17229347606124779
uncoupled_cpl    extractionPatterns(economicSector, careers in _
0.13707089571958042)   0.13707089571958042
uncoupled_cpl    extractionPatterns(economicSector, degrees in _
0.2078594809372002)    0.2078594809372002
uncoupled_cpl    extractionPatterns(economicSector, department of _
0.21437402696736008)   0.21437402696736008
uncoupled_cpl    extractionPatterns(economicSector, departments of _
0.21862660594718034)   0.21862660594718034
uncoupled_cpl    extractionPatterns(economicSector, ease of _
0.47112821656737325)   0.47112821656737325
uncoupled_cpl    extractionPatterns(economicSector, exchange of _
0.2588806847675028)    0.2588806847675028
uncoupled_cpl    extractionPatterns(economicSector, fields of _
0.24673904470816937)   0.24673904470816937
uncoupled_cpl    extractionPatterns(economicSector, flow of _
0.28034059621295115)   0.28034059621295115
uncoupled_cpl    extractionPatterns(economicSector, freedom of _
0.2385612948990138)    0.2385612948990138
uncoupled_cpl    extractionPatterns(economicSector, investments in _
0.19137355034068643)   0.19137355034068643
uncoupled_cpl    extractionPatterns(economicSector, _ is stored in
0.23879305041545493)   0.23879305041545493
uncoupled_cpl    extractionPatterns(economicSector, large amounts of _
0.2883538232351342)    0.2883538232351342
uncoupled_cpl    extractionPatterns(economicSector, level of _
0.02575042878928415)   0.02575042878928415
uncoupled_cpl    extractionPatterns(economicSector, line of _
0.20844626349539297)   0.20844626349539297
uncoupled_cpl    extractionPatterns(economicSector, mechanism of _
0.22388583997678352)   0.22388583997678352
uncoupled_cpl    extractionPatterns(economicSector, medium of _
0.26352448318605076)   0.26352448318605076
uncoupled_cpl    extractionPatterns(economicSector, mode of _
0.12089558981303136)   0.12089558981303136
uncoupled_cpl    extractionPatterns(economicSector, modes of _
0.3068249160829337)    0.3068249160829337
uncoupled_cpl    extractionPatterns(economicSector, _ obtained from
0.23451001127566046)   0.23451001127566046
uncoupled_cpl    extractionPatterns(economicSector, other form of _
0.22449945486972325)   0.22449945486972325
uncoupled_cpl    extractionPatterns(economicSector, other forms of _
0.15661542514326354)   0.15661542514326354
uncoupled_cpl    extractionPatterns(economicSector, other types of _
0.18947977279970574)   0.18947977279970574
uncoupled_cpl    extractionPatterns(economicSector, piece of _
0.033488974959662236) 0.033488974959662236
uncoupled_cpl    extractionPatterns(economicSector, plan of _
0.30197229627616173)   0.30197229627616173
uncoupled_cpl    extractionPatterns(economicSector, pool of _
0.19038270420699163)   0.19038270420699163
uncoupled_cpl    extractionPatterns(economicSector, portfolio of _
0.20676818344450654)   0.20676818344450654
uncoupled_cpl    extractionPatterns(economicSector, program of _
0.2847550334719546)    0.2847550334719546
uncoupled_cpl    extractionPatterns(economicSector, _ provided by
0.2343433339184655)    0.2343433339184655
uncoupled_cpl    extractionPatterns(economicSector, quantities of _
0.222580599060822)     0.222580599060822
uncoupled_cpl    extractionPatterns(economicSector, quantity of _
0.20753173733399333)   0.20753173733399333
uncoupled_cpl    extractionPatterns(economicSector, scheme of _
0.45967939494713034)   0.45967939494713034
uncoupled_cpl    extractionPatterns(economicSector, selection of _
0.028766924692191394) 0.028766924692191394
uncoupled_cpl    extractionPatterns(economicSector, speed of _
0.1884828985655329)    0.1884828985655329
uncoupled_cpl    extractionPatterns(economicSector, _ supplied by
0.2247825024653972)    0.2247825024653972
uncoupled_cpl    extractionPatterns(economicSector, supply of _
0.1708193010852735)    0.1708193010852735
uncoupled_cpl    extractionPatterns(economicSector, term of _
0.21208206079166222)   0.21208206079166222
uncoupled_cpl    extractionPatterns(economicSector, transfer of _
0.22966972048117246)   0.22966972048117246
uncoupled_cpl    extractionPatterns(economicSector, type of _
0.2180534636848972)    0.2180534636848972
uncoupled_cpl    extractionPatterns(economicSector, unit of _
0.23502344590644395)   0.23502344590644395
uncoupled_cpl    extractionPatterns(economicSector, units of _
0.22645545954431334)   0.22645545954431334
uncoupled_cpl    extractionPatterns(economicSector, variety of _
0.11300762326761797)   0.11300762326761797
uncoupled_cpl    extractionPatterns(economicSector, version of _
0.047601547869817185) 0.047601547869817185
uncoupled_cpl    extractionPatterns(economicSector, vice president of _
0.1152567535142612)    0.1152567535142612
uncoupled_cpl    extractionPatterns(economicSector, volume of _
0.20725880519639825)   0.20725880519639825
uncoupled_cpl    extractionPatterns(economicSector, volumes of _
0.24820928439537257)   0.24820928439537257
uncoupled_cpl    extractionPatterns(emotion, air of _ 0.2633163810554984)
      0.2633163810554984
uncoupled_cpl    extractionPatterns(emotion, aura of _
0.20644587654308005)   0.20644587654308005
uncoupled_cpl    extractionPatterns(emotion,   awful lot of _
0.21328734176819525)   0.21328734176819525
uncoupled_cpl    extractionPatterns(emotion,   bond of _
0.22287415370039662)   0.22287415370039662
uncoupled_cpl    extractionPatterns(emotion,   bonds of _
0.2304920286515617)    0.2304920286515617
uncoupled_cpl    extractionPatterns(emotion,   bouts of _
0.1489640913101201)    0.1489640913101201
uncoupled_cpl    extractionPatterns(emotion,   burst of _
0.214905474718941)     0.214905474718941
uncoupled_cpl    extractionPatterns(emotion,   call of _
0.2193176814590955)    0.2193176814590955
uncoupled_cpl    extractionPatterns(emotion,   certain amount of _
0.2794019089118226)    0.2794019089118226
uncoupled_cpl    extractionPatterns(emotion,   considerable amount of _
0.3207000552511718)    0.3207000552511718
uncoupled_cpl    extractionPatterns(emotion,   continuum of _
0.21197074693219148)   0.21197074693219148
uncoupled_cpl    extractionPatterns(emotion,   cries of _
0.2031529774996276)    0.2031529774996276
uncoupled_cpl    extractionPatterns(emotion,   cry of _ 0.2940333743173269)
      0.2940333743173269
uncoupled_cpl    extractionPatterns(emotion,   deal of _
0.2964353879924104)    0.2964353879924104
uncoupled_cpl    extractionPatterns(emotion,   deep sense of _
0.2469631855052866)    0.2469631855052866
uncoupled_cpl    extractionPatterns(emotion,   degree of _
0.2420817015722816)    0.2420817015722816
uncoupled_cpl    extractionPatterns(emotion,   degrees of _
0.3101023111453774)    0.3101023111453774
uncoupled_cpl    extractionPatterns(emotion,   enormous amount of _
0.2692602217171354)    0.2692602217171354
uncoupled_cpl    extractionPatterns(emotion,   expression of _
0.17226487771794982)   0.17226487771794982
uncoupled_cpl    extractionPatterns(emotion,   expressions of _
0.32181288655361184)   0.32181288655361184
uncoupled_cpl    extractionPatterns(emotion,   false sense of _
0.5992220789968206)    0.5992220789968206
uncoupled_cpl    extractionPatterns(emotion,   feeling of _
0.2991736813958419)    0.2991736813958419
uncoupled_cpl    extractionPatterns(emotion,   feelings of _
0.38484100654613124)   0.38484100654613124
uncoupled_cpl    extractionPatterns(emotion,   _ felt by
0.25392940085206844)   0.25392940085206844
uncoupled_cpl    extractionPatterns(emotion,   fit of _ 0.2934684914474687)
      0.2934684914474687
uncoupled_cpl    extractionPatterns(emotion,   gesture of _
0.2829786007280109)    0.2829786007280109
uncoupled_cpl    extractionPatterns(emotion,   glimmer of _
0.38314108097171795)   0.38314108097171795
uncoupled_cpl    extractionPatterns(emotion,   good amount of _
0.20734379872901235)   0.20734379872901235
uncoupled_cpl    extractionPatterns(emotion,   great sense of _
0.4731409231906636)    0.4731409231906636
uncoupled_cpl    extractionPatterns(emotion, items of _
0.30652989244278517)   0.30652989244278517
uncoupled_cpl    extractionPatterns(emotion, level of _
0.5150352160379694)    0.5150352160379694
uncoupled_cpl    extractionPatterns(emotion, long period of _
0.769708043747134)     0.769708043747134
uncoupled_cpl    extractionPatterns(emotion, long periods of _
0.8335988396154652)    0.8335988396154652
uncoupled_cpl    extractionPatterns(emotion, messages of _
0.2694123967277979)    0.2694123967277979
uncoupled_cpl    extractionPatterns(emotion, mixture of _
0.43855019672688467)   0.43855019672688467
uncoupled_cpl    extractionPatterns(emotion, moment in _
0.2639770794157014)    0.2639770794157014
uncoupled_cpl    extractionPatterns(emotion, moments of _
0.2657527270767335)    0.2657527270767335
uncoupled_cpl    extractionPatterns(emotion, places of _
0.2758072573926894)    0.2758072573926894
uncoupled_cpl    extractionPatterns(emotion, plan of _
0.2612253066945162)    0.2612253066945162
uncoupled_cpl    extractionPatterns(emotion, prayer of _
0.21875628997202007)   0.21875628997202007
uncoupled_cpl    extractionPatterns(emotion, rush of _
0.20890597680215697)   0.20890597680215697
uncoupled_cpl    extractionPatterns(emotion, semblance of _
0.2782498021160392)    0.2782498021160392
uncoupled_cpl    extractionPatterns(emotion, short period of _
0.9049957784402471)    0.9049957784402471
uncoupled_cpl    extractionPatterns(emotion, sigh of _
0.8804360349194202)    0.8804360349194202
uncoupled_cpl    extractionPatterns(emotion, surge of _
0.2878902349903064)    0.2878902349903064
uncoupled_cpl    extractionPatterns(emotion, tears of _
0.37638978888487934)   0.37638978888487934
uncoupled_cpl    extractionPatterns(emotion, time of _
0.17930267129782818)   0.17930267129782818
uncoupled_cpl    extractionPatterns(emotion, topics of _
0.3660296272816447)    0.3660296272816447
uncoupled_cpl    extractionPatterns(emotion, tremendous amount of _
0.29728083932865373)   0.29728083932865373
uncoupled_cpl    extractionPatterns(emotion, whole lot of _
0.23689696007544592)   0.23689696007544592
uncoupled_cpl    extractionPatterns(food, _ are tender
0.5526397148509993)    0.5526397148509993
uncoupled_cpl    extractionPatterns(food, barrels of _
0.39839273056976465)   0.39839273056976465
uncoupled_cpl    extractionPatterns(food, bowl , combine _
0.34736853573079784)   0.34736853573079784
uncoupled_cpl    extractionPatterns(food, bowl of _ 0.4320473889978471)
      0.4320473889978471
uncoupled_cpl    extractionPatterns(food, bowls of _ 0.3963589654190848)
      0.3963589654190848
uncoupled_cpl    extractionPatterns(food, breakfast of _
0.41133348272342163)   0.41133348272342163
uncoupled_cpl    extractionPatterns(food, buckets of _
0.3862795302387731)     0.3862795302387731
uncoupled_cpl    extractionPatterns(food, chocolate covered _
0.5071187915376373)     0.5071187915376373
uncoupled_cpl    extractionPatterns(food, container of _
0.3299810666352923)     0.3299810666352923
uncoupled_cpl    extractionPatterns(food, crops of _ 0.3596363129412719)
      0.3596363129412719
uncoupled_cpl    extractionPatterns(food, crops such as _
0.42328227741602314)    0.42328227741602314
uncoupled_cpl    extractionPatterns(food, cup of _ 0.4018417196941731)
      0.4018417196941731
uncoupled_cpl    extractionPatterns(food, cups of _ 0.6317174863786654)
      0.6317174863786654
uncoupled_cpl    extractionPatterns(food, cuts of _ 0.5688150167987032)
      0.5688150167987032
uncoupled_cpl    extractionPatterns(food, diet rich in _
0.4647056893063694)     0.4647056893063694
uncoupled_cpl    extractionPatterns(food, few drops of _
0.3190064362718658)     0.3190064362718658
uncoupled_cpl    extractionPatterns(food, gallon of _
0.42853194198511174)    0.42853194198511174
uncoupled_cpl    extractionPatterns(food, gallons of _
0.43867256930195186)    0.43867256930195186
uncoupled_cpl    extractionPatterns(food, glasses of _
0.49981262539798804)    0.49981262539798804
uncoupled_cpl    extractionPatterns(food, glass of _ 0.5730444449028202)
      0.5730444449028202
uncoupled_cpl    extractionPatterns(food, grain of _ 0.6009641480819983)
      0.6009641480819983
uncoupled_cpl    extractionPatterns(food, grains of _ 0.56598086996418)
      0.56598086996418
uncoupled_cpl    extractionPatterns(food, _ is tender 0.6429694934244268)
      0.6429694934244268
uncoupled_cpl    extractionPatterns(food, jar of _ 0.3966265980365894)
      0.3966265980365894
uncoupled_cpl    extractionPatterns(food, jug of _ 0.41166720948582086)
      0.41166720948582086
uncoupled_cpl    extractionPatterns(food, mixture of _
0.8986451848521759)     0.8986451848521759
uncoupled_cpl    extractionPatterns(food, mug of _ 0.5164390516495075)
      0.5164390516495075
uncoupled_cpl    extractionPatterns(food, pan of _ 0.40303132118236695)
      0.40303132118236695
uncoupled_cpl    extractionPatterns(food, pinch of _ 0.4588706118751345)
      0.4588706118751345
uncoupled_cpl    extractionPatterns(food, pitcher of _
0.38301275020619585)    0.38301275020619585
uncoupled_cpl    extractionPatterns(food, plenty of _ 0.1220597011811039)
      0.1220597011811039
uncoupled_cpl    extractionPatterns(food, pot of _ 0.386925929852821)
      0.386925929852821
uncoupled_cpl    extractionPatterns(food, pound of _ 0.3432631241860606)
      0.3432631241860606
uncoupled_cpl    extractionPatterns(food, puddle of _ 0.3809336751425396)
      0.3809336751425396
uncoupled_cpl    extractionPatterns(food, quart of _ 0.49940594346291717)
      0.49940594346291717
uncoupled_cpl    extractionPatterns(food, sack of _ 0.3445669044438695)
      0.3445669044438695
uncoupled_cpl    extractionPatterns(food, sacks of _ 0.3429090593707692)
      0.3429090593707692
uncoupled_cpl    extractionPatterns(food, scoop of _ 0.1985375555549425)
      0.1985375555549425
uncoupled_cpl    extractionPatterns(food, serving of _
0.33234157453396207)    0.33234157453396207
uncoupled_cpl    extractionPatterns(food, servings of _
0.48201791382988174)    0.48201791382988174
uncoupled_cpl    extractionPatterns(food, simmer until _
0.31915608538045026)    0.31915608538045026
uncoupled_cpl    extractionPatterns(food, sip of _ 0.38306216203796706)
      0.38306216203796706
uncoupled_cpl    extractionPatterns(food, slices of _ 0.396265832005816)
      0.396265832005816
uncoupled_cpl    extractionPatterns(food, sprinkle with _
0.41545000368551793)    0.41545000368551793
uncoupled_cpl    extractionPatterns(food, tablespoon of _
0.4560421680268919)     0.4560421680268919
uncoupled_cpl    extractionPatterns(food, teaspoon of _
0.4333576111670015)     0.4333576111670015
uncoupled_cpl    extractionPatterns(food, tub of _ 0.4270505024630469)
      0.4270505024630469
uncoupled_cpl    extractionPatterns(food, variety of _
0.2205976113920311)     0.2205976113920311
uncoupled_cpl    extractionPatterns(food, vegetables like _
0.12142408819278215)    0.12142408819278215
uncoupled_cpl    extractionPatterns(food, vegetables such as _
0.22011393066881813)    0.22011393066881813
uncoupled_cpl    extractionPatterns(furniture, _ are equipped with
0.13692376060327813)    0.13692376060327813
uncoupled_cpl    extractionPatterns(furniture, _ are hand
0.1301526873052774)     0.1301526873052774
uncoupled_cpl    extractionPatterns(furniture, _ are made for
0.12513564125097915)    0.12513564125097915
uncoupled_cpl    extractionPatterns(furniture, _ are made with
0.13369061390416567)    0.13369061390416567
uncoupled_cpl    extractionPatterns(furniture, baby bedding _
0.11301429091408437)    0.11301429091408437
uncoupled_cpl    extractionPatterns(furniture, couple of new _
0.121876870754673)      0.121876870754673
uncoupled_cpl    extractionPatterns(furniture, _ crafted by
0.1455858983356986)     0.1455858983356986
uncoupled_cpl    extractionPatterns(furniture, _ crafted from
0.09637186276519508)    0.09637186276519508
uncoupled_cpl    extractionPatterns(furniture, development of new _
0.12381880896765829)    0.12381880896765829
uncoupled_cpl    extractionPatterns(furniture, different set of _
0.13992915782186746)    0.13992915782186746
uncoupled_cpl    extractionPatterns(furniture,   _ encountered by
0.11578491384582731)   0.11578491384582731
uncoupled_cpl    extractionPatterns(furniture,   extensive range of _
0.12964283923897818)   0.12964283923897818
uncoupled_cpl    extractionPatterns(furniture,   _ faced by
0.23224765458602478)   0.23224765458602478
uncoupled_cpl    extractionPatterns(furniture,   furniture including _
0.07171201300594914)   0.07171201300594914
uncoupled_cpl    extractionPatterns(furniture,   game of musical _
0.20488939131841058)   0.20488939131841058
uncoupled_cpl    extractionPatterns(furniture,   hand crafted _
0.1252178823805338)    0.1252178823805338
uncoupled_cpl    extractionPatterns(furniture,   hand made _
0.1241861039751898)    0.1241861039751898
uncoupled_cpl    extractionPatterns(furniture,   hand painted _
0.13923891616547454)   0.13923891616547454
uncoupled_cpl    extractionPatterns(furniture,   _ have appeared in
0.13156713833157094)   0.13156713833157094
uncoupled_cpl    extractionPatterns(furniture,   hundreds of different _
0.1305926947197815)    0.1305926947197815
uncoupled_cpl    extractionPatterns(furniture,   _ is hand
0.12160842832120632)   0.12160842832120632
uncoupled_cpl    extractionPatterns(furniture,   list of available _
0.12553169531318076)   0.12553169531318076
uncoupled_cpl    extractionPatterns(furniture,   loads of _
0.13174434693440062)   0.13174434693440062
uncoupled_cpl    extractionPatterns(furniture,   lots of different _
0.17594039606911543)   0.17594039606911543
uncoupled_cpl    extractionPatterns(furniture,   lots of great _
0.13404375533239485)   0.13404375533239485
uncoupled_cpl    extractionPatterns(furniture,   lots of new _
0.10561583144077133)   0.10561583144077133
uncoupled_cpl    extractionPatterns(furniture,   matter of _
0.13206659183583866)   0.13206659183583866
uncoupled_cpl    extractionPatterns(furniture,   _ missing from
0.1212351779922209)    0.1212351779922209
uncoupled_cpl    extractionPatterns(furniture,   number of different _
0.1298706920609101)    0.1298706920609101
uncoupled_cpl    extractionPatterns(furniture,   number of new _
0.12901804508803547)   0.12901804508803547
uncoupled_cpl    extractionPatterns(furniture,   number of potential _
0.11708583273819556)   0.11708583273819556
uncoupled_cpl    extractionPatterns(furniture,   own set of _
0.16150680515895843)   0.16150680515895843
uncoupled_cpl    extractionPatterns(furniture,   _ painted by
0.06671309623376322)   0.06671309623376322
uncoupled_cpl    extractionPatterns(furniture,   _ painted on
0.12010294847872578)   0.12010294847872578
uncoupled_cpl    extractionPatterns(furniture,   _ painted with
0.07082437909875469)   0.07082437909875469
uncoupled_cpl    extractionPatterns(furniture,   plenty of _
0.22176943896745144)   0.22176943896745144
uncoupled_cpl    extractionPatterns(furniture,   point of _
0.3401260482256172)    0.3401260482256172
uncoupled_cpl    extractionPatterns(furniture, _ posed by
0.153008775962906)     0.153008775962906
uncoupled_cpl    extractionPatterns(furniture, _ purchased from
0.12195831170258534)   0.12195831170258534
uncoupled_cpl    extractionPatterns(furniture, range of different _
0.13177438807006103)   0.13177438807006103
uncoupled_cpl    extractionPatterns(furniture, rows of _
0.12335967546088254)   0.12335967546088254
uncoupled_cpl    extractionPatterns(furniture, scarcity of _
0.1271612897827324)    0.1271612897827324
uncoupled_cpl    extractionPatterns(furniture, selection of _
0.15541334027151416)   0.15541334027151416
uncoupled_cpl    extractionPatterns(furniture, series of _
0.18218857535347385)   0.18218857535347385
uncoupled_cpl    extractionPatterns(furniture, unique set of _
0.1250542044590766)    0.1250542044590766
uncoupled_cpl    extractionPatterns(furniture, unlimited number of _
0.12873335877823003)   0.12873335877823003
uncoupled_cpl    extractionPatterns(furniture, variety of _
0.14435395132832476)   0.14435395132832476
uncoupled_cpl    extractionPatterns(furniture, variety of different _
0.14150715468956235)   0.14150715468956235
uncoupled_cpl    extractionPatterns(furniture, vast array of _
0.12196416584204528)   0.12196416584204528
uncoupled_cpl    extractionPatterns(furniture, _ were made for
0.13412822950482461)   0.13412822950482461
uncoupled_cpl    extractionPatterns(hasOfficeInCity, arg1 Attorney for
the District of arg2 0.46527762897500513)      0.46527762897500513
uncoupled_cpl    extractionPatterns(hasOfficeInCity, arg1 Attorney in
arg2 0.00996376765799401)    0.00996376765799401
uncoupled_cpl    extractionPatterns(hasOfficeInCity, arg1 Bankruptcy
Court for arg2 0.3583331997067315) 0.3583331997067315
uncoupled_cpl    extractionPatterns(hasOfficeInCity, arg1 Bankruptcy
Court in arg2 0.3804345983107722) 0.3804345983107722
uncoupled_cpl    extractionPatterns(hasOfficeInCity, arg1 Campus in arg2
0.004170526467255598) 0.004170526467255598
uncoupled_cpl    extractionPatterns(hasOfficeInCity, arg1 campus in arg2
0.008005824017338707) 0.008005824017338707
uncoupled_cpl    extractionPatterns(hasOfficeInCity, arg1 Congressman
from arg2 0.3274853361577842)      0.3274853361577842
uncoupled_cpl    extractionPatterns(hasOfficeInCity, arg1 Culinary
Academy in arg2 0.33152170380204604)     0.33152170380204604
uncoupled_cpl    extractionPatterns(hasOfficeInCity, arg1 Department of
Justice in arg2 0.30769230656666036)     0.30769230656666036
uncoupled_cpl    extractionPatterns(hasOfficeInCity, arg1 District Court
for arg2 0.2317189648520027) 0.2317189648520027
uncoupled_cpl    extractionPatterns(hasOfficeInCity, arg1 District Court
for the Eastern arg2 0.9654509317500555)       0.9654509317500555
uncoupled_cpl    extractionPatterns(hasOfficeInCity, arg1 District Court
in arg2 0.02006552722008365) 0.02006552722008365
uncoupled_cpl    extractionPatterns(hasOfficeInCity, arg1 district court
in arg2 0.31623932324513404) 0.31623932324513404
uncoupled_cpl    extractionPatterns(hasOfficeInCity, arg1 Divinity School
in arg2 0.028919331426248467)      0.028919331426248467
uncoupled_cpl    extractionPatterns(hasOfficeInCity, arg1 for a position
in arg2 0.0022371355584198003)     0.0022371355584198003
uncoupled_cpl    extractionPatterns(hasOfficeInCity, arg1 has offices in
arg2 0.001584785836039972)   0.001584785836039972
uncoupled_cpl    extractionPatterns(hasOfficeInCity, arg1 Headquarters in
arg2 0.001081860537628234)   0.001081860537628234
uncoupled_cpl    extractionPatterns(hasOfficeInCity, arg1 headquarters in
arg2 0.004127580000681928)   0.004127580000681928
uncoupled_cpl    extractionPatterns(hasOfficeInCity, arg1 Health Science
Center at arg2 0.6501852218451845) 0.6501852218451845
uncoupled_cpl    extractionPatterns(hasOfficeInCity, arg1 Health Science
Center in arg2 0.5637068117325464) 0.5637068117325464
uncoupled_cpl    extractionPatterns(hasOfficeInCity, arg1 Holocaust
Memorial Museum in arg2 0.5000000902799808)    0.5000000902799808
uncoupled_cpl    extractionPatterns(hasOfficeInCity, arg1 House of
Representatives from arg2 0.41958044812775197)       0.41958044812775197
uncoupled_cpl    extractionPatterns(hasOfficeInCity, arg1 HQ in arg2
0.0033259431199374975) 0.0033259431199374975
uncoupled_cpl    extractionPatterns(hasOfficeInCity, arg1 Human Rights
Commission in arg2 0.31468535889532784) 0.31468535889532784
uncoupled_cpl    extractionPatterns(hasOfficeInCity, arg1 including
Alaska and arg2 0.31623932324513404)     0.31623932324513404
uncoupled_cpl    extractionPatterns(hasOfficeInCity, arg1 Medical School
at arg2 0.4967318180658209) 0.4967318180658209
uncoupled_cpl    extractionPatterns(hasOfficeInCity, arg1 Mint in arg2
0.20704854423461336)   0.20704854423461336
uncoupled_cpl    extractionPatterns(hasOfficeInCity, arg1 Motor Company
in arg2 0.07458140989090886) 0.07458140989090886
uncoupled_cpl    extractionPatterns(hasOfficeInCity, arg1 Museum of
Natural History in arg2 0.020512824562951296) 0.020512824562951296
uncoupled_cpl    extractionPatterns(hasOfficeInCity, arg1 Naval
Observatory in arg2 0.3333334295560505) 0.3333334295560505
uncoupled_cpl    extractionPatterns(hasOfficeInCity, arg1 Open in arg2
0.013175226408453672) 0.013175226408453672
uncoupled_cpl    extractionPatterns(hasOfficeInCity, arg1 Press Club in
arg2 0.6680675418519552)     0.6680675418519552
uncoupled_cpl    extractionPatterns(hasOfficeInCity, arg1 Representative
from arg2 0.2967741105792824)      0.2967741105792824
uncoupled_cpl    extractionPatterns(hasOfficeInCity, arg1 School of
Medicine in arg2 0.05552643862705814)    0.05552643862705814
uncoupled_cpl    extractionPatterns(hasOfficeInCity, arg1 School of
Public Health in arg2 0.32608702023486) 0.32608702023486
uncoupled_cpl    extractionPatterns(hasOfficeInCity, arg1 Senate from
arg2 0.29794511121368517)    0.29794511121368517
uncoupled_cpl    extractionPatterns(hasOfficeInCity, arg1 Senate race in
arg2 0.33823545959827594)    0.33823545959827594
uncoupled_cpl    extractionPatterns(hasOfficeInCity, arg1 Senate seat in
arg2 0.4083335149075366)     0.4083335149075366
uncoupled_cpl    extractionPatterns(hasOfficeInCity, arg1 Senator for
arg2 0.3101603056998834)     0.3101603056998834
uncoupled_cpl    extractionPatterns(hasOfficeInCity, arg1 Senator from
arg2 0.21334301702970235)    0.21334301702970235
uncoupled_cpl    extractionPatterns(hasOfficeInCity, arg1 senator from
arg2 0.35259436162495794)    0.35259436162495794
uncoupled_cpl    extractionPatterns(hasOfficeInCity, arg1 Senators from
arg2 0.3369566472769877)     0.3369566472769877
uncoupled_cpl    extractionPatterns(hasOfficeInCity, arg1 World
Headquarters in arg2 0.016369048727637784)     0.016369048727637784
uncoupled_cpl    extractionPatterns(hasOfficeInCity, arg2 as the capital
of arg1 0.0547945249330687) 0.0547945249330687
uncoupled_cpl    extractionPatterns(hasOfficeInCity, arg2 campus of the
University of arg1 0.014905142371035535)       0.014905142371035535
uncoupled_cpl    extractionPatterns(hasOfficeInCity, arg2 is the only
state in arg1 0.31428564787433483) 0.31428564787433483
uncoupled_cpl    extractionPatterns(hasOfficeInCity, arg2 law and
controlling arg1 0.32989693219089783)    0.32989693219089783
uncoupled_cpl    extractionPatterns(hasOfficeInCity, arg2 to interview
with arg1 0.0022371355584198003) 0.0022371355584198003
uncoupled_cpl    extractionPatterns(hasOfficeInCity, arg2 to work at arg1
4.798466424536173E-4) 4.798466424536173E-4
uncoupled_cpl    extractionPatterns(hasOfficeInCountry, arg1 Airlines in
arg2 0.0020661155097451162) 0.0020661155097451162
uncoupled_cpl    extractionPatterns(hasOfficeInCountry, arg1 Company in
arg2 1.9673419583846275E-4) 1.9673419583846275E-4
uncoupled_cpl    extractionPatterns(hasOfficeInCountry, arg1 connects it
to arg2 0.0014326649036710288)     0.0014326649036710288
uncoupled_cpl    extractionPatterns(hasOfficeInCountry, arg1 Corp of arg2
0.0010113269485269314) 0.0010113269485269314
uncoupled_cpl    extractionPatterns(hasOfficeInCountry, arg1 Corporation
of arg2 7.485032590543819E-4)      7.485032590543819E-4
uncoupled_cpl    extractionPatterns(hasOfficeInCountry, arg1 Electronics
in arg2 0.002629448895992861)      0.002629448895992861
uncoupled_cpl    extractionPatterns(hasOfficeInCountry, arg1 Electronics
of arg2 0.020239199211394415)      0.020239199211394415
uncoupled_cpl    extractionPatterns(hasOfficeInCountry, arg1 employees in
arg2 4.343104313265967E-4)   4.343104313265967E-4
uncoupled_cpl    extractionPatterns(hasOfficeInCountry, arg1 factories in
arg2 0.0020661155097451162) 0.0020661155097451162
uncoupled_cpl    extractionPatterns(hasOfficeInCountry, arg1 flight from
arg2 0.0033277862029127882) 0.0033277862029127882
uncoupled_cpl    extractionPatterns(hasOfficeInCountry, arg1 flights from
arg2 0.0029171534035112084) 0.0029171534035112084
uncoupled_cpl    extractionPatterns(hasOfficeInCountry, arg1 flight to
arg2 0.004495506215210376)   0.004495506215210376
uncoupled_cpl    extractionPatterns(hasOfficeInCountry, arg1 government
in arg2 0.012169968017071502)      0.012169968017071502
uncoupled_cpl    extractionPatterns(hasOfficeInCountry, arg1 Group in
arg2 6.260959023222741E-4)   6.260959023222741E-4
uncoupled_cpl    extractionPatterns(hasOfficeInCountry, arg1 Heavy
Industries in arg2 0.005519781515510072)       0.005519781515510072
uncoupled_cpl    extractionPatterns(hasOfficeInCountry, arg1 hosting in
arg2 0.0038204387765068113) 0.0038204387765068113
uncoupled_cpl    extractionPatterns(hasOfficeInCountry, arg1 is based in
arg2 1.0047727253197424E-4) 1.0047727253197424E-4
uncoupled_cpl    extractionPatterns(hasOfficeInCountry, arg1 launched in
arg2 4.307558938014193E-4)   4.307558938014193E-4
uncoupled_cpl    extractionPatterns(hasOfficeInCountry, arg1 marketers in
arg2 0.0035765379483535605) 0.0035765379483535605
uncoupled_cpl    extractionPatterns(hasOfficeInCountry, arg1 marketing in
arg2 0.0038204387765068113) 0.0038204387765068113
uncoupled_cpl    extractionPatterns(hasOfficeInCountry, arg1 Motors in
arg2 0.0027598884961909293) 0.0027598884961909293
uncoupled_cpl    extractionPatterns(hasOfficeInCountry, arg1 plants in
arg2 2.619515486818043E-4)   2.619515486818043E-4
uncoupled_cpl    extractionPatterns(hasOfficeInCountry, arg1 portal in
arg2 0.004297993470319254)   0.004297993470319254
uncoupled_cpl    extractionPatterns(hasOfficeInCountry, arg1 products in
arg2 3.780719638156745E-4)   3.780719638156745E-4
uncoupled_cpl    extractionPatterns(hasOfficeInCountry, arg1 Research
Laboratories in arg2 0.009073547198194084)    0.009073547198194084
uncoupled_cpl    extractionPatterns(hasOfficeInCountry, arg1 server in
arg2 5.08905610332557E-4)    5.08905610332557E-4
uncoupled_cpl    extractionPatterns(hasOfficeInCountry, arg1 site is
protected by arg2 0.010729610747763784) 0.010729610747763784
uncoupled_cpl    extractionPatterns(hasOfficeInCountry, arg1 state in
arg2 0.005876893341361353)   0.005876893341361353
uncoupled_cpl    extractionPatterns(hasOfficeInCountry, arg1 users in
arg2 4.918356214699809E-4)   4.918356214699809E-4
uncoupled_cpl    extractionPatterns(hasOfficeInCountry, arg2 automaker
arg1 0.0036798510616428007) 0.0036798510616428007
uncoupled_cpl    extractionPatterns(hasOfficeInCountry, arg2 automakers
arg1 0.0036157029088163817) 0.0036157029088163817
uncoupled_cpl    extractionPatterns(hasOfficeInCountry, arg2 based arg1
8.60037285854391E-6)   8.60037285854391E-6
uncoupled_cpl    extractionPatterns(hasOfficeInCountry, arg2 carmaker
arg1 0.011619959650298339)   0.011619959650298339
uncoupled_cpl    extractionPatterns(hasOfficeInCountry, arg2 company arg1
1.6821983252429336E-5) 1.6821983252429336E-5
uncoupled_cpl    extractionPatterns(hasOfficeInCountry, arg2 Congress and
arg1 0.01132074947907418)    0.01132074947907418
uncoupled_cpl    extractionPatterns(hasOfficeInCountry, arg2 Congress and
the arg1 0.01640464094062508)      0.01640464094062508
uncoupled_cpl    extractionPatterns(hasOfficeInCountry, arg2 government
and arg1 1.9673419583846275E-4)    1.9673419583846275E-4
uncoupled_cpl    extractionPatterns(hasOfficeInCountry, arg2 government
and the arg1 0.004132230273374892) 0.004132230273374892
uncoupled_cpl    extractionPatterns(hasOfficeInCountry, arg2 government
or arg1 0.006835272098606467)      0.006835272098606467
uncoupled_cpl    extractionPatterns(hasOfficeInCountry, arg2 lawsuit
against arg1 4.045306709456304E-4) 4.045306709456304E-4
uncoupled_cpl    extractionPatterns(hasOfficeInCountry, arg2 rival arg1
8.451655775833281E-4) 8.451655775833281E-4
uncoupled_cpl    extractionPatterns(hasOfficeInCountry, arg2 Steel and
arg1 0.004098361579070602)   0.004098361579070602
uncoupled_cpl    extractionPatterns(hasOfficeInCountry, arg2 to access
arg1 2.5510536374066074E-5) 2.5510536374066074E-5
uncoupled_cpl    extractionPatterns(headquarteredIn, arg1 and its capital
arg2 0.05337077326412021)    0.05337077326412021
uncoupled_cpl    extractionPatterns(headquarteredIn, arg1 Based in arg2
0.010151081778610994) 0.010151081778610994
uncoupled_cpl    extractionPatterns(headquarteredIn, arg1 campus in arg2
0.008005824017338707) 0.008005824017338707
uncoupled_cpl    extractionPatterns(headquarteredIn, arg1 campus near
arg2 0.006920411816973067)   0.006920411816973067
uncoupled_cpl    extractionPatterns(headquarteredIn, arg1 casualties in
arg2 0.03544305340254029)    0.03544305340254029
uncoupled_cpl    extractionPatterns(headquarteredIn, arg1 Center in
downtown arg2 0.008724099721497326)      0.008724099721497326
uncoupled_cpl    extractionPatterns(headquarteredIn, arg1 Corp in arg2
0.008650518652580257) 0.008650518652580257
uncoupled_cpl    extractionPatterns(headquarteredIn, arg1 corporate
headquarters in arg2 0.010050247680046332)     0.010050247680046332
uncoupled_cpl    extractionPatterns(headquarteredIn, arg1 Corporation in
arg2 0.007006072541948692)   0.007006072541948692
uncoupled_cpl    extractionPatterns(headquarteredIn, arg1 Corporation is
headquartered in arg2 0.010050247680046332)    0.010050247680046332
uncoupled_cpl    extractionPatterns(headquarteredIn, arg1 Field in arg2
0.025187964443526983) 0.025187964443526983
uncoupled_cpl    extractionPatterns(headquarteredIn, arg1 General
Assembly in arg2 0.12867647120672948)    0.12867647120672948
uncoupled_cpl    extractionPatterns(headquarteredIn, arg1 Headquartered
in arg2 0.009365242960152743)      0.009365242960152743
uncoupled_cpl    extractionPatterns(headquarteredIn, arg1 headquarters
are in arg2 0.008724099721497326) 0.008724099721497326
uncoupled_cpl    extractionPatterns(headquarteredIn, arg1 Headquarters in
arg2 0.0018031015744350634) 0.0018031015744350634
uncoupled_cpl    extractionPatterns(headquarteredIn, arg1 headquarters in
arg2 0.004627891102824671)   0.004627891102824671
uncoupled_cpl    extractionPatterns(headquarteredIn, arg1 HQ in arg2
0.0048275846927693065) 0.0048275846927693065
uncoupled_cpl    extractionPatterns(headquarteredIn, arg1 invasion and
occupation of arg2 0.06835442346889505) 0.06835442346889505
uncoupled_cpl    extractionPatterns(headquarteredIn, arg1 is
headquartered in arg2 5.356904941292823E-4)    5.356904941292823E-4
uncoupled_cpl    extractionPatterns(headquarteredIn, arg1 military
spokesman in arg2 0.03999999299472865) 0.03999999299472865
uncoupled_cpl    extractionPatterns(headquarteredIn, arg1 Motor Company
in arg2 0.029443827010697664)      0.029443827010697664
uncoupled_cpl    extractionPatterns(headquarteredIn, arg1 News in arg2
0.013082863956522129) 0.013082863956522129
uncoupled_cpl    extractionPatterns(headquarteredIn, arg1 Policy
Institute in arg2 0.04810125551635286) 0.04810125551635286
uncoupled_cpl    extractionPatterns(headquarteredIn, arg1 Radio in arg2
0.007106602482049014) 0.007106602482049014
uncoupled_cpl    extractionPatterns(headquarteredIn, arg1 Research in
arg2 0.0055342235649304215) 0.0055342235649304215
uncoupled_cpl    extractionPatterns(headquarteredIn, arg1 Secretariat in
arg2 0.019101125862235505)   0.019101125862235505
uncoupled_cpl    extractionPatterns(headquarteredIn, arg1 service center
in arg2 0.008650518652580257)      0.008650518652580257
uncoupled_cpl    extractionPatterns(headquarteredIn, arg1 Space Center in
arg2 0.006711411449298698)   0.006711411449298698
uncoupled_cpl    extractionPatterns(headquarteredIn, arg1 spokesman in
arg2 0.01635769254887063)    0.01635769254887063
uncoupled_cpl    extractionPatterns(headquarteredIn, arg1 spokeswoman in
arg2 0.008928570279420556)   0.008928570279420556
uncoupled_cpl    extractionPatterns(headquarteredIn, arg1 Television in
arg2 0.022222233106009764)   0.022222233106009764
uncoupled_cpl    extractionPatterns(headquarteredIn, arg1 Trade Center in
arg2 0.3734336253902686)     0.3734336253902686
uncoupled_cpl    extractionPatterns(headquarteredIn, arg1 Trade Centre in
arg2 0.09481477760122642)    0.09481477760122642
uncoupled_cpl    extractionPatterns(headquarteredIn, arg1 University of
Technology in arg2 0.052631577850865294)       0.052631577850865294
uncoupled_cpl    extractionPatterns(headquarteredIn, arg1 world
headquarters in arg2 0.008928570279420556)     0.008928570279420556
uncoupled_cpl    extractionPatterns(headquarteredIn, arg1 World
Headquarters in arg2 0.02076125021905331)      0.02076125021905331
uncoupled_cpl    extractionPatterns(headquarteredIn, arg2 and elsewhere
in arg1 0.04735376254970776) 0.04735376254970776
uncoupled_cpl    extractionPatterns(headquarteredIn, arg2 and other
cities in arg1 0.04675715438419747)      0.04675715438419747
uncoupled_cpl    extractionPatterns(headquarteredIn, arg2 and other
cities of arg1 0.04775282745935427)      0.04775282745935427
uncoupled_cpl    extractionPatterns(headquarteredIn, arg2 and other major
cities in arg1 0.012359552909220407)     0.012359552909220407
uncoupled_cpl    extractionPatterns(headquarteredIn, arg2 and tourist
resorts in arg1 0.060085844357537756)    0.060085844357537756
uncoupled_cpl    extractionPatterns(headquarteredIn, arg2 became the
capital of arg1 0.052631577850865294)    0.052631577850865294
uncoupled_cpl    extractionPatterns(headquarteredIn, arg2 has been the
capital of arg1 0.04494382061178648)     0.04494382061178648
uncoupled_cpl    extractionPatterns(headquarteredIn, arg2 is the capital
city of arg1 0.008928570279420556) 0.008928570279420556
uncoupled_cpl    extractionPatterns(headquarteredIn, arg2 is the capital
of arg1 0.011764708899886466)      0.011764708899886466
uncoupled_cpl    extractionPatterns(headquarteredIn, arg2 on the Map of
arg1 0.08148144120031106)    0.08148144120031106
uncoupled_cpl    extractionPatterns(headquarteredIn, arg2 the capital
city of arg1 0.05898878133624062) 0.05898878133624062
uncoupled_cpl    extractionPatterns(headquarteredIn, arg2 The capital of
arg1 0.04721030896326528)    0.04721030896326528
uncoupled_cpl    extractionPatterns(headquarteredIn, arg2 the capital of
arg1 0.08567210519530519)    0.08567210519530519
uncoupled_cpl    extractionPatterns(headquarteredIn, arg2 to interview
with arg1 0.008474573088692669)    0.008474573088692669
uncoupled_cpl    extractionPatterns(hobby, activities include _
0.13287811493478383)   0.13287811493478383
uncoupled_cpl    extractionPatterns(hobby, activities including _
0.10580039776197754)   0.10580039776197754
uncoupled_cpl    extractionPatterns(hobby, activities like _
0.10580039776197754)   0.10580039776197754
uncoupled_cpl    extractionPatterns(hobby, activities such as _
0.11902913308414052)   0.11902913308414052
uncoupled_cpl    extractionPatterns(hobby, advancement of _
0.1523225449745415)    0.1523225449745415
uncoupled_cpl    extractionPatterns(hobby, breadth of _
0.1211031036418068)    0.1211031036418068
uncoupled_cpl    extractionPatterns(hobby, broad range of _
0.14107494570404255)   0.14107494570404255
uncoupled_cpl    extractionPatterns(hobby,    catalog of _
0.13688022576981168)    0.13688022576981168
uncoupled_cpl    extractionPatterns(hobby,    certain types of _
0.1500124482493833)     0.1500124482493833
uncoupled_cpl    extractionPatterns(hobby,    _ covered in
0.1307093660821763)     0.1307093660821763
uncoupled_cpl    extractionPatterns(hobby,    directory of _
0.14015224261013565)    0.14015224261013565
uncoupled_cpl    extractionPatterns(hobby,    ease of _ 0.445210088159645)
      0.445210088159645
uncoupled_cpl    extractionPatterns(hobby,    game of _ 0.15218612509947504)
      0.15218612509947504
uncoupled_cpl    extractionPatterns(hobby,    genre of _ 0.5622807492490418)
      0.5622807492490418
uncoupled_cpl    extractionPatterns(hobby,    hobbies include _
0.10712145444230231)    0.10712145444230231
uncoupled_cpl    extractionPatterns(hobby,    _ is provided for
0.14210003465522178)    0.14210003465522178
uncoupled_cpl    extractionPatterns(hobby,    kinds of _
0.14296792136585468)    0.14296792136585468
uncoupled_cpl    extractionPatterns(hobby,    long list of _
0.12303947993867888)    0.12303947993867888
uncoupled_cpl    extractionPatterns(hobby,    lot of good _
0.12562185943546203)    0.12562185943546203
uncoupled_cpl    extractionPatterns(hobby,    lot of great _
0.1401324825370455)     0.1401324825370455
uncoupled_cpl    extractionPatterns(hobby,    lot of other _
0.1944249600264438)     0.1944249600264438
uncoupled_cpl    extractionPatterns(hobby,    lots of good _
0.14028432822523176)    0.14028432822523176
uncoupled_cpl    extractionPatterns(hobby,    lots of other _
0.17669909877159945)    0.17669909877159945
uncoupled_cpl    extractionPatterns(hobby,    love of _ 0.13572425340470065)
      0.13572425340470065
uncoupled_cpl    extractionPatterns(hobby,    modes of _
0.13621578448790508)    0.13621578448790508
uncoupled_cpl    extractionPatterns(hobby,    passion for _
0.0589436132313298)     0.0589436132313298
uncoupled_cpl    extractionPatterns(hobby,    plan of _ 0.2818864355413752)
      0.2818864355413752
uncoupled_cpl    extractionPatterns(hobby,    plethora of _
0.15374083251375542)    0.15374083251375542
uncoupled_cpl    extractionPatterns(hobby,    portfolio of _
0.12128489460640716)    0.12128489460640716
uncoupled_cpl    extractionPatterns(hobby,    _ presented in
0.15029488721511147)    0.15029488721511147
uncoupled_cpl    extractionPatterns(hobby,    programme of _
0.16498396361779688)    0.16498396361779688
uncoupled_cpl    extractionPatterns(hobby,    program of _
0.21718929033237996)    0.21718929033237996
uncoupled_cpl    extractionPatterns(hobby,    programs of _
0.18754752481662604)    0.18754752481662604
uncoupled_cpl    extractionPatterns(hobby,    _ revolves around
0.14235476385920062)    0.14235476385920062
uncoupled_cpl    extractionPatterns(hobby, round of _
0.13368900962642452)   0.13368900962642452
uncoupled_cpl    extractionPatterns(hobby, selection of _
0.13490033937758766)   0.13490033937758766
uncoupled_cpl    extractionPatterns(hobby, site contains _
0.20583261274258158)   0.20583261274258158
uncoupled_cpl    extractionPatterns(hobby, site includes _
0.16496499155289546)   0.16496499155289546
uncoupled_cpl    extractionPatterns(hobby, site offers _
0.1537208475045824)    0.1537208475045824
uncoupled_cpl    extractionPatterns(hobby, site provides _
0.25100510535435955)   0.25100510535435955
uncoupled_cpl    extractionPatterns(hobby, sorts of _
0.13882779483282875)   0.13882779483282875
uncoupled_cpl    extractionPatterns(hobby, sport of _ 0.1679375659333548)
      0.1679375659333548
uncoupled_cpl    extractionPatterns(hobby, sports such as _
0.13250299898009013)   0.13250299898009013
uncoupled_cpl    extractionPatterns(hobby, style of _
0.13908500305383562)   0.13908500305383562
uncoupled_cpl    extractionPatterns(hobby, styles of _
0.11603968898176228)   0.11603968898176228
uncoupled_cpl    extractionPatterns(hobby, suite of _
0.13661971715296042)   0.13661971715296042
uncoupled_cpl    extractionPatterns(hobby, taste in _ 0.1360054935924188)
      0.1360054935924188
uncoupled_cpl    extractionPatterns(hobby, variety of _
0.359520888211478)     0.359520888211478
uncoupled_cpl    extractionPatterns(hobby, variety of other _
0.1423345509178854)    0.1423345509178854
uncoupled_cpl    extractionPatterns(hobby, wide range of _
0.1384375441259471)    0.1384375441259471
uncoupled_cpl    extractionPatterns(kitchenItem, _ are made by
0.10340758124618077)   0.10340758124618077
uncoupled_cpl    extractionPatterns(kitchenItem, _ are made on
0.10590974604152836)   0.10590974604152836
uncoupled_cpl    extractionPatterns(kitchenItem, average number of _
0.1125884662156908)    0.1125884662156908
uncoupled_cpl    extractionPatterns(kitchenItem, bags of _
0.10564371770109611)   0.10564371770109611
uncoupled_cpl    extractionPatterns(kitchenItem, block of _
0.10601952539431332)   0.10601952539431332
uncoupled_cpl    extractionPatterns(kitchenItem, blocks of _
0.10044077787995231)   0.10044077787995231
uncoupled_cpl    extractionPatterns(kitchenItem, bodies of _
0.211365376688055)     0.211365376688055
uncoupled_cpl    extractionPatterns(kitchenItem, bundle of _
0.0998227665437152)    0.0998227665437152
uncoupled_cpl    extractionPatterns(kitchenItem, cakes from _
0.018264846916834304) 0.018264846916834304
uncoupled_cpl    extractionPatterns(kitchenItem, certain amount of _
0.13673069741517724)   0.13673069741517724
uncoupled_cpl    extractionPatterns(kitchenItem, chunks of _
0.10453263078534904)   0.10453263078534904
uncoupled_cpl    extractionPatterns(kitchenItem,   circle of _
0.20051203682451552)   0.20051203682451552
uncoupled_cpl    extractionPatterns(kitchenItem,   clatter of _
0.03438974051253949)   0.03438974051253949
uncoupled_cpl    extractionPatterns(kitchenItem,   deal of _
0.1105253911784902)    0.1105253911784902
uncoupled_cpl    extractionPatterns(kitchenItem,   donations of _
0.12030777836843731)   0.12030777836843731
uncoupled_cpl    extractionPatterns(kitchenItem,   End of _
0.1481750402011032)    0.1481750402011032
uncoupled_cpl    extractionPatterns(kitchenItem,   fair amount of _
0.13656904063897127)   0.13656904063897127
uncoupled_cpl    extractionPatterns(kitchenItem,   first couple of _
0.15188448715106617)   0.15188448715106617
uncoupled_cpl    extractionPatterns(kitchenItem,   good amount of _
0.18812643793498168)   0.18812643793498168
uncoupled_cpl    extractionPatterns(kitchenItem,   goods such as _
0.020693513195918195) 0.020693513195918195
uncoupled_cpl    extractionPatterns(kitchenItem,   handles of _
0.018264846916834304) 0.018264846916834304
uncoupled_cpl    extractionPatterns(kitchenItem,   heap of _
0.10665542159080811)   0.10665542159080811
uncoupled_cpl    extractionPatterns(kitchenItem,   hundreds of _
0.1433365381538063)    0.1433365381538063
uncoupled_cpl    extractionPatterns(kitchenItem,   ladle into _
0.021526425619293982) 0.021526425619293982
uncoupled_cpl    extractionPatterns(kitchenItem,   large quantities of _
0.10046126988875366)   0.10046126988875366
uncoupled_cpl    extractionPatterns(kitchenItem,   last couple of _
0.13566400521227745)   0.13566400521227745
uncoupled_cpl    extractionPatterns(kitchenItem,   layer of _
0.1090422344262879)    0.1090422344262879
uncoupled_cpl    extractionPatterns(kitchenItem,   length of _
0.1700727486897791)    0.1700727486897791
uncoupled_cpl    extractionPatterns(kitchenItem,   lids on _
0.018917156828228896) 0.018917156828228896
uncoupled_cpl    extractionPatterns(kitchenItem,   limited amount of _
0.2474293975729365)    0.2474293975729365
uncoupled_cpl    extractionPatterns(kitchenItem,   _ made by
0.10288566045825563)   0.10288566045825563
uncoupled_cpl    extractionPatterns(kitchenItem,   maximum amount of _
0.11380828008080585)   0.11380828008080585
uncoupled_cpl    extractionPatterns(kitchenItem,   maximum number of _
0.10832340886434227)   0.10832340886434227
uncoupled_cpl    extractionPatterns(kitchenItem,   minimum number of _
0.11747755322860377)   0.11747755322860377
uncoupled_cpl    extractionPatterns(kitchenItem,   own set of _
0.10389744210460236)   0.10389744210460236
uncoupled_cpl    extractionPatterns(kitchenItem,   pack of _
0.11901556453639085)   0.11901556453639085
uncoupled_cpl    extractionPatterns(kitchenItem,   passing of _
0.13276614588547903)   0.13276614588547903
uncoupled_cpl    extractionPatterns(kitchenItem,   period of _
0.41846333642460476)   0.41846333642460476
uncoupled_cpl    extractionPatterns(kitchenItem, pile of _
0.12122111552721251)   0.12122111552721251
uncoupled_cpl    extractionPatterns(kitchenItem, piles of _
0.12160186164337887)   0.12160186164337887
uncoupled_cpl    extractionPatterns(kitchenItem, right amount of _
0.13510203111082728)   0.13510203111082728
uncoupled_cpl    extractionPatterns(kitchenItem, same number of _
0.1053177824427124)    0.1053177824427124
uncoupled_cpl    extractionPatterns(kitchenItem, selection of _
0.09170604320341864)   0.09170604320341864
uncoupled_cpl    extractionPatterns(kitchenItem, series of _
0.08428857087286826)   0.08428857087286826
uncoupled_cpl    extractionPatterns(kitchenItem, small amount of _
0.10545415186518112)   0.10545415186518112
uncoupled_cpl    extractionPatterns(kitchenItem, soup into _
0.10182058348199097)   0.10182058348199097
uncoupled_cpl    extractionPatterns(kitchenItem, space of _
0.10802787319686549)   0.10802787319686549
uncoupled_cpl    extractionPatterns(kitchenItem, total amount of _
0.10799071799954615)   0.10799071799954615
uncoupled_cpl    extractionPatterns(kitchenItem, total number of _
0.1077347598402004)    0.1077347598402004
uncoupled_cpl    extractionPatterns(kitchenItem, variety of _
0.09844906215962687)   0.09844906215962687
uncoupled_cpl    extractionPatterns(mammal, animals including _
0.14736835650310837)   0.14736835650310837
uncoupled_cpl    extractionPatterns(mammal, animals , including _
0.24896598457044403)   0.24896598457044403
uncoupled_cpl    extractionPatterns(mammal, animals like _
0.06838765179252954)   0.06838765179252954
uncoupled_cpl    extractionPatterns(mammal, animals such as _
0.12635864834040655)   0.12635864834040655
uncoupled_cpl    extractionPatterns(mammal, animals , such as _
0.158755181876553)     0.158755181876553
uncoupled_cpl    extractionPatterns(mammal, attraction for _
0.1071233826458361)    0.1071233826458361
uncoupled_cpl    extractionPatterns(mammal, band of _
0.08674113982095721)   0.08674113982095721
uncoupled_cpl    extractionPatterns(mammal, breed of _
0.32111787866712793)   0.32111787866712793
uncoupled_cpl    extractionPatterns(mammal, breeds of _
0.4014192044870204)    0.4014192044870204
uncoupled_cpl    extractionPatterns(mammal, cancer in _
0.09393586657906533)   0.09393586657906533
uncoupled_cpl    extractionPatterns(mammal, colonies of _
0.08447573040625884)   0.08447573040625884
uncoupled_cpl    extractionPatterns(mammal, colony of _
0.09875137018559522)   0.09875137018559522
uncoupled_cpl    extractionPatterns(mammal, complaints from _
0.1039733149275497)    0.1039733149275497
uncoupled_cpl    extractionPatterns(mammal, crowd of _
0.08751203081863804)   0.08751203081863804
uncoupled_cpl    extractionPatterns(mammal, crowds of _
0.09981897335065767)   0.09981897335065767
uncoupled_cpl     extractionPatterns(mammal,   deaths of _
0.08959471008267472)    0.08959471008267472
uncoupled_cpl     extractionPatterns(mammal,   destination for _
0.09043010926028214)    0.09043010926028214
uncoupled_cpl     extractionPatterns(mammal,   difference between _
0.1307858534317028)     0.1307858534317028
uncoupled_cpl     extractionPatterns(mammal,   disease in _
0.12188966849797202)    0.12188966849797202
uncoupled_cpl     extractionPatterns(mammal,   disease of _
0.08464899863053625)    0.08464899863053625
uncoupled_cpl     extractionPatterns(mammal,   diseases in _
0.11281499661957316)    0.11281499661957316
uncoupled_cpl     extractionPatterns(mammal,   diseases of _
0.08967941710146546)    0.08967941710146546
uncoupled_cpl     extractionPatterns(mammal,   extinction of _
0.09993962753091791)    0.09993962753091791
uncoupled_cpl     extractionPatterns(mammal,   _ feeding on
0.08552632976316965)    0.08552632976316965
uncoupled_cpl     extractionPatterns(mammal,   flock of _
0.1316563710978493)     0.1316563710978493
uncoupled_cpl     extractionPatterns(mammal,   flocks of _
0.27949189081280074)    0.27949189081280074
uncoupled_cpl     extractionPatterns(mammal,   gang of _ 0.089088769163298)
      0.089088769163298
uncoupled_cpl     extractionPatterns(mammal,   _ grazing on
0.09253068127510047)    0.09253068127510047
uncoupled_cpl     extractionPatterns(mammal,   habitat for _
0.1488835235322703)     0.1488835235322703
uncoupled_cpl     extractionPatterns(mammal,   haven for _
0.08492548958855764)    0.08492548958855764
uncoupled_cpl     extractionPatterns(mammal,   herd of _
0.06351825081307229)    0.06351825081307229
uncoupled_cpl     extractionPatterns(mammal,   herds of _
0.4510162089965056)     0.4510162089965056
uncoupled_cpl     extractionPatterns(mammal,   _ infected with
0.09579986530580456)    0.09579986530580456
uncoupled_cpl     extractionPatterns(mammal,   infection in _
0.09807458679976597)    0.09807458679976597
uncoupled_cpl     extractionPatterns(mammal,   infections in _
0.13343670945977162)    0.13343670945977162
uncoupled_cpl     extractionPatterns(mammal,   influx of _
0.13721599347042718)    0.13721599347042718
uncoupled_cpl     extractionPatterns(mammal,   killing of _
0.09029546872958931)    0.09029546872958931
uncoupled_cpl     extractionPatterns(mammal,   large group of _
0.08514155965836795)    0.08514155965836795
uncoupled_cpl     extractionPatterns(mammal,   large numbers of _
0.09876786304153137)    0.09876786304153137
uncoupled_cpl     extractionPatterns(mammal,   many species of _
0.23648535425686273)    0.23648535425686273
uncoupled_cpl     extractionPatterns(mammal,   pack of _
0.09390440333414914)    0.09390440333414914
uncoupled_cpl     extractionPatterns(mammal,   populations of _
0.10689694921921) 0.10689694921921
uncoupled_cpl    extractionPatterns(mammal, several species of _
0.10862442378898189)   0.10862442378898189
uncoupled_cpl    extractionPatterns(mammal, shelter for _
0.08534256034271614)   0.08534256034271614
uncoupled_cpl    extractionPatterns(mammal, slaughter of _
0.1448499355079821)    0.1448499355079821
uncoupled_cpl    extractionPatterns(mammal, species , including _
0.10357534086781979)   0.10357534086781979
uncoupled_cpl    extractionPatterns(mammal, species such as _
0.1114901536559201)    0.1114901536559201
uncoupled_cpl    extractionPatterns(mammal, steady stream of _
0.09679412293733744)   0.09679412293733744
uncoupled_cpl    extractionPatterns(mammal, swarm of _
0.13720501663002904)   0.13720501663002904
uncoupled_cpl    extractionPatterns(mammal, variety of _
0.07306761745843408)   0.07306761745843408
uncoupled_cpl    extractionPatterns(movie, attack on _
0.03271021056907339)   0.03271021056907339
uncoupled_cpl    extractionPatterns(movie, cult of _ 0.2224203987085457)
      0.2224203987085457
uncoupled_cpl    extractionPatterns(movie, desire for _
0.11904151275771313)   0.11904151275771313
uncoupled_cpl    extractionPatterns(movie, devotees of _
0.03355706018494752)   0.03355706018494752
uncoupled_cpl    extractionPatterns(movie, _ dressed as
0.06972314153756538)   0.06972314153756538
uncoupled_cpl    extractionPatterns(movie, _ dressed in
0.07723133581259883)   0.07723133581259883
uncoupled_cpl    extractionPatterns(movie, films as _
0.035051179995691364) 0.035051179995691364
uncoupled_cpl    extractionPatterns(movie, films like _
0.008381226624175574) 0.008381226624175574
uncoupled_cpl    extractionPatterns(movie, films such as _
0.006311991765613585) 0.006311991765613585
uncoupled_cpl    extractionPatterns(movie, flow of _ 0.13916499992748868)
      0.13916499992748868
uncoupled_cpl    extractionPatterns(movie, generosity of _
0.16826570021692652)   0.16826570021692652
uncoupled_cpl    extractionPatterns(movie, glory of _
0.04401631140549477)   0.04401631140549477
uncoupled_cpl    extractionPatterns(movie, god of _ 0.08490884582374053)
      0.08490884582374053
uncoupled_cpl    extractionPatterns(movie, great deal of _
0.10511797375225114)   0.10511797375225114
uncoupled_cpl    extractionPatterns(movie, group of _ 0.0619933597797071)
      0.0619933597797071
uncoupled_cpl    extractionPatterns(movie, group of young _
0.3414124506145084)    0.3414124506145084
uncoupled_cpl    extractionPatterns(movie, hearts of _
0.14552709351214518)   0.14552709351214518
uncoupled_cpl    extractionPatterns(movie, ideals of _
0.1283143713491915)    0.1283143713491915
uncoupled_cpl    extractionPatterns(movie, legend of _
0.03953080648638195)   0.03953080648638195
uncoupled_cpl    extractionPatterns(movie, lives of _
0.06208815804087758)   0.06208815804087758
uncoupled_cpl    extractionPatterns(movie, _ living with
0.2026982214215549)    0.2026982214215549
uncoupled_cpl    extractionPatterns(movie, lots of _ 0.14986865527126547)
      0.14986865527126547
uncoupled_cpl    extractionPatterns(movie, masses of _
0.20338287349886108)   0.20338287349886108
uncoupled_cpl    extractionPatterns(movie, message of _
0.036452508594546684) 0.036452508594546684
uncoupled_cpl    extractionPatterns(movie, moment in _
0.2625922053896735)    0.2625922053896735
uncoupled_cpl    extractionPatterns(movie, moment of _
0.10820572529151622)   0.10820572529151622
uncoupled_cpl    extractionPatterns(movie, mother in _
0.20318548457652433)   0.20318548457652433
uncoupled_cpl    extractionPatterns(movie, movie like _
0.007940444682013166) 0.007940444682013166
uncoupled_cpl    extractionPatterns(movie, numbers of _
0.1562340618075675)    0.1562340618075675
uncoupled_cpl    extractionPatterns(movie, play of _ 0.0725922581420049)
      0.0725922581420049
uncoupled_cpl    extractionPatterns(movie, pool of _ 0.18590211634500242)
      0.18590211634500242
uncoupled_cpl    extractionPatterns(movie, race of _ 0.1798546957362645)
      0.1798546957362645
uncoupled_cpl    extractionPatterns(movie, remake of _
0.0403744144633583)    0.0403744144633583
uncoupled_cpl    extractionPatterns(movie, Return of _
0.2181345946628143)    0.2181345946628143
uncoupled_cpl    extractionPatterns(movie, rights for _
0.08446153967560535)   0.08446153967560535
uncoupled_cpl    extractionPatterns(movie, rights of _
0.1601652795075975)    0.1601652795075975
uncoupled_cpl    extractionPatterns(movie, roles of _ 0.0641702224918747)
      0.0641702224918747
uncoupled_cpl    extractionPatterns(movie, scene from _
0.0317973285686491)    0.0317973285686491
uncoupled_cpl    extractionPatterns(movie, souls of _ 0.1889552621770888)
      0.1889552621770888
uncoupled_cpl    extractionPatterns(movie, stories for _
0.06404758219908868)   0.06404758219908868
uncoupled_cpl    extractionPatterns(movie, _ suffering from
0.21095973354442013)   0.21095973354442013
uncoupled_cpl    extractionPatterns(movie, tale of _
0.032435200848427596) 0.032435200848427596
uncoupled_cpl    extractionPatterns(movie, theme from _
0.011719982359459206) 0.011719982359459206
uncoupled_cpl    extractionPatterns(movie, toys for _
0.11063995481746938)   0.11063995481746938
uncoupled_cpl    extractionPatterns(movie, version of _
0.060810792350347816) 0.060810792350347816
uncoupled_cpl    extractionPatterns(movie, war on _ 0.24501349213865756)
      0.24501349213865756
uncoupled_cpl    extractionPatterns(movie, well-being of _
0.16452100943528497)   0.16452100943528497
uncoupled_cpl    extractionPatterns(movie, _ were killed in
0.2724718426343309)    0.2724718426343309
uncoupled_cpl    extractionPatterns(movie, whole bunch of _
0.14860477707617706)   0.14860477707617706
uncoupled_cpl    extractionPatterns(movie, work of _ 0.10049091033512172)
      0.10049091033512172
uncoupled_cpl    extractionPatterns(newspaperCompany, affairs in _
0.15007966888249658)   0.15007966888249658
uncoupled_cpl    extractionPatterns(newspaperCompany, article appeared in
_ 0.18506725119281925) 0.18506725119281925
uncoupled_cpl    extractionPatterns(newspaperCompany, article from _
0.15793985231238122)   0.15793985231238122
uncoupled_cpl    extractionPatterns(newspaperCompany, article of _
0.1489195577049241)    0.1489195577049241
uncoupled_cpl    extractionPatterns(newspaperCompany, articles have
appeared in _ 0.21210369426515138) 0.21210369426515138
uncoupled_cpl    extractionPatterns(newspaperCompany, column in _
0.12752714947407034)   0.12752714947407034
uncoupled_cpl    extractionPatterns(newspaperCompany, columnist at _
0.2605303285993204)    0.2605303285993204
uncoupled_cpl    extractionPatterns(newspaperCompany, columnist for _
0.2678374533039536)    0.2678374533039536
uncoupled_cpl    extractionPatterns(newspaperCompany, coverage in _
0.7725117963274737)    0.7725117963274737
uncoupled_cpl    extractionPatterns(newspaperCompany, critic for _
0.3090173051286341)    0.3090173051286341
uncoupled_cpl    extractionPatterns(newspaperCompany, editor at _
0.17595095280957868)   0.17595095280957868
uncoupled_cpl    extractionPatterns(newspaperCompany, editorial in _
0.22263224375035645)   0.22263224375035645
uncoupled_cpl    extractionPatterns(newspaperCompany, editorial page of _
0.3198529244294232)    0.3198529244294232
uncoupled_cpl    extractionPatterns(newspaperCompany, foreign
correspondent for _ 0.2949439325082327) 0.2949439325082327
uncoupled_cpl    extractionPatterns(newspaperCompany, front page of _
0.14889871042618896)   0.14889871042618896
uncoupled_cpl    extractionPatterns(newspaperCompany, full-page ad in _
0.2589531815083078)    0.2589531815083078
uncoupled_cpl    extractionPatterns(newspaperCompany, _ has an article
0.18406321879054102)   0.18406321879054102
uncoupled_cpl    extractionPatterns(newspaperCompany, last week in _
0.13382169492500115)   0.13382169492500115
uncoupled_cpl    extractionPatterns(newspaperCompany, life on _
0.13340735661262204)   0.13340735661262204
uncoupled_cpl    extractionPatterns(newspaperCompany, magazines such as _
0.1917904325896207)    0.1917904325896207
uncoupled_cpl    extractionPatterns(newspaperCompany, matters of _
0.135986046197357)     0.135986046197357
uncoupled_cpl    extractionPatterns(newspaperCompany, moment in _
0.2500678494854125)    0.2500678494854125
uncoupled_cpl    extractionPatterns(newspaperCompany, mother in _
0.2119152178711199)    0.2119152178711199
uncoupled_cpl    extractionPatterns(newspaperCompany,   newspapers
including _ 0.4179894859514185)    0.4179894859514185
uncoupled_cpl    extractionPatterns(newspaperCompany,   op-ed piece in _
0.3500000435745399)    0.3500000435745399
uncoupled_cpl    extractionPatterns(newspaperCompany,   period of _
0.4188585523267461)    0.4188585523267461
uncoupled_cpl    extractionPatterns(newspaperCompany,   point in _
0.1534318169326573)    0.1534318169326573
uncoupled_cpl    extractionPatterns(newspaperCompany,   publications ,
including _ 0.1925448818427946)    0.1925448818427946
uncoupled_cpl    extractionPatterns(newspaperCompany,   publications
including _ 0.2122849081873851)    0.2122849081873851
uncoupled_cpl    extractionPatterns(newspaperCompany,   publications like _
0.21144105903924187)   0.21144105903924187
uncoupled_cpl    extractionPatterns(newspaperCompany,   publications such
as _ 0.22385158806360522)    0.22385158806360522
uncoupled_cpl    extractionPatterns(newspaperCompany,   publisher of _
0.13704334723825592)   0.13704334723825592
uncoupled_cpl    extractionPatterns(newspaperCompany,   recent article in _
0.289576722444634)     0.289576722444634
uncoupled_cpl    extractionPatterns(newspaperCompany,   _ related issues
0.1285389895560442)    0.1285389895560442
uncoupled_cpl    extractionPatterns(newspaperCompany,   reporter at _
0.20054692895445023)   0.20054692895445023
uncoupled_cpl    extractionPatterns(newspaperCompany,   reporter for _
0.2103393710612565)    0.2103393710612565
uncoupled_cpl    extractionPatterns(newspaperCompany,   reporter from _
0.19999998248682085)   0.19999998248682085
uncoupled_cpl    extractionPatterns(newspaperCompany,   report in _
0.16410382043787908)   0.16410382043787908
uncoupled_cpl    extractionPatterns(newspaperCompany,   _ reports today
0.37684210458253814)   0.37684210458253814
uncoupled_cpl    extractionPatterns(newspaperCompany,   review in _
0.14142496291171125)   0.14142496291171125
uncoupled_cpl    extractionPatterns(newspaperCompany,   statement in _
0.19100111753195118)   0.19100111753195118
uncoupled_cpl    extractionPatterns(newspaperCompany,   study published in
_ 0.2559559294264841) 0.2559559294264841
uncoupled_cpl    extractionPatterns(newspaperCompany,   such publications
as _ 0.27659581223896107)    0.27659581223896107
uncoupled_cpl    extractionPatterns(newspaperCompany,   Sunday edition of _
0.2830881346399375)    0.2830881346399375
uncoupled_cpl    extractionPatterns(newspaperCompany,   tone of _
0.16554271844155025)   0.16554271844155025
uncoupled_cpl    extractionPatterns(newspaperCompany,   version of _
0.5165878075161991)    0.5165878075161991
uncoupled_cpl    extractionPatterns(newspaperCompany,   weekend in _
0.15037772251699694)   0.15037772251699694
uncoupled_cpl    extractionPatterns(newspaperCompany,   work has appeared
in _ 0.19346435410381485)    0.19346435410381485
uncoupled_cpl    extractionPatterns(newspaperCompany,   writer at _
0.16985145806244442)   0.16985145806244442
uncoupled_cpl    extractionPatterns(newspaperCompany,   writer for _
0.14223822303758063)   0.14223822303758063
uncoupled_cpl    extractionPatterns(politician, _ appointed by
0.11611780997721335)   0.11611780997721335
uncoupled_cpl    extractionPatterns(politician, assassination of _
0.09987888270567728)   0.09987888270567728
uncoupled_cpl    extractionPatterns(politician, _ became president
0.12020604102890015)   0.12020604102890015
uncoupled_cpl    extractionPatterns(politician, calls from _
0.0837401271501706)    0.0837401271501706
uncoupled_cpl    extractionPatterns(politician, candidacy of _
0.06955044238201916)   0.06955044238201916
uncoupled_cpl    extractionPatterns(politician, conversations with _
0.09199877658597944)   0.09199877658597944
uncoupled_cpl    extractionPatterns(politician, crowd of _
0.19816782624615578)   0.19816782624615578
uncoupled_cpl    extractionPatterns(politician, difference between _
0.2820386953230087)    0.2820386953230087
uncoupled_cpl    extractionPatterns(politician, _ elected by
0.11969708730569799)   0.11969708730569799
uncoupled_cpl    extractionPatterns(politician, election for _
0.07770505234323714)   0.07770505234323714
uncoupled_cpl    extractionPatterns(politician, election of _
0.07661043380178374)   0.07661043380178374
uncoupled_cpl    extractionPatterns(politician, _ enrolled in
0.23744601182020747)   0.23744601182020747
uncoupled_cpl    extractionPatterns(politician, fact , many _
0.1913052421769475)    0.1913052421769475
uncoupled_cpl    extractionPatterns(politician, _ gets the nomination
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uncoupled_cpl    extractionPatterns(politician, _ has called for
0.08132319514362088)   0.08132319514362088
uncoupled_cpl    extractionPatterns(politician, impeachment of _
0.4077671411431661)    0.4077671411431661
uncoupled_cpl    extractionPatterns(politician, _ is a vote
0.11504648671435645)   0.11504648671435645
uncoupled_cpl    extractionPatterns(politician, _ is the candidate
0.03495310405790013)   0.03495310405790013
uncoupled_cpl    extractionPatterns(politician, _ is the Democratic
nominee 0.027950309670415233)     0.027950309670415233
uncoupled_cpl    extractionPatterns(politician, _ is the nominee
0.30097080869980486)   0.30097080869980486
uncoupled_cpl    extractionPatterns(politician, _ is the only candidate
0.20716369523421924)   0.20716369523421924
uncoupled_cpl    extractionPatterns(politician, large group of _
0.3350200158955592)    0.3350200158955592
uncoupled_cpl    extractionPatterns(politician, law by _
0.09862603554979928)   0.09862603554979928
uncoupled_cpl    extractionPatterns(politician, lead over _
0.1699605377093406)    0.1699605377093406
uncoupled_cpl    extractionPatterns(politician, _ left office
0.08413185571116141)   0.08413185571116141
uncoupled_cpl    extractionPatterns(politician, lives of _
0.21699412490037726)   0.21699412490037726
uncoupled_cpl    extractionPatterns(politician, _ living in
0.08211291226848161)   0.08211291226848161
uncoupled_cpl    extractionPatterns(politician, _ living with
0.17864940947567312)   0.17864940947567312
uncoupled_cpl    extractionPatterns(politician, millions of _
0.15593999393404065)   0.15593999393404065
uncoupled_cpl    extractionPatterns(politician, numbers of _
0.09746899027773034)   0.09746899027773034
uncoupled_cpl    extractionPatterns(politician, parents of _
0.18346176469199632)   0.18346176469199632
uncoupled_cpl    extractionPatterns(politician, positions of _
0.10384021038279004)   0.10384021038279004
uncoupled_cpl    extractionPatterns(politician, presidency of _
0.10824414514311487)   0.10824414514311487
uncoupled_cpl    extractionPatterns(politician, race between _
0.14467810063870487)   0.14467810063870487
uncoupled_cpl    extractionPatterns(politician, _ signed into
0.1314815159976107)    0.1314815159976107
uncoupled_cpl    extractionPatterns(politician, term as _
0.1443324441918983)    0.1443324441918983
uncoupled_cpl    extractionPatterns(politician, thousands of other _
0.18760042067659005)   0.18760042067659005
uncoupled_cpl    extractionPatterns(politician, _ took office
0.23208606645762458)   0.23208606645762458
uncoupled_cpl    extractionPatterns(politician, version of _
0.027950309670415233) 0.027950309670415233
uncoupled_cpl    extractionPatterns(politician, _ voted against
0.08144144363288805)   0.08144144363288805
uncoupled_cpl    extractionPatterns(politician, _ voted in
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uncoupled_cpl    extractionPatterns(politician, vote for _
0.13749853726566316)   0.13749853726566316
uncoupled_cpl    extractionPatterns(politician, votes for _
0.09803379625667849)   0.09803379625667849
uncoupled_cpl    extractionPatterns(politician, votes from _
0.08144885514147718)   0.08144885514147718
uncoupled_cpl    extractionPatterns(politician, voting for _
0.11650489379903217)   0.11650489379903217
uncoupled_cpl    extractionPatterns(politician, _ was president
0.1013302798254016)    0.1013302798254016
uncoupled_cpl    extractionPatterns(politician, well-being of _
0.175915590222123)     0.175915590222123
uncoupled_cpl    extractionPatterns(politician, _ were killed in
0.21435087582263193)   0.21435087582263193
uncoupled_cpl    extractionPatterns(politician, _ wins the Democratic
nomination 0.026915121843652256) 0.026915121843652256
uncoupled_cpl    extractionPatterns(politician, _ wins the nomination
0.22038836356261915)   0.22038836356261915
uncoupled_cpl    extractionPatterns(producesProduct, arg1 cut the price
of arg2 0.0010207557445568688)     0.0010207557445568688
uncoupled_cpl    extractionPatterns(producesProduct, arg1 has done with
arg2 0.010962236040251967)   0.010962236040251967
uncoupled_cpl    extractionPatterns(producesProduct, arg1 has released a
new arg2 0.0014970062478093726)    0.0014970062478093726
uncoupled_cpl    extractionPatterns(producesProduct, arg1 introduced its
arg2 0.0018712567781109784) 0.0018712567781109784
uncoupled_cpl    extractionPatterns(producesProduct, arg1 is doing with
arg2 0.012180268166362765)   0.012180268166362765
uncoupled_cpl    extractionPatterns(producesProduct, arg1 launched its
arg2 9.088840769745457E-4)   9.088840769745457E-4
uncoupled_cpl    extractionPatterns(producesProduct, arg1 launched the
new arg2 7.759961493276531E-4)     7.759961493276531E-4
uncoupled_cpl    extractionPatterns(producesProduct, arg1 launches the
arg2 0.0017012585130739145) 0.0017012585130739145
uncoupled_cpl    extractionPatterns(producesProduct, arg1 Office
applications like arg2 0.022540986605743118) 0.022540986605743118
uncoupled_cpl    extractionPatterns(producesProduct, arg1 products like
arg2 9.000898196576524E-4)   9.000898196576524E-4
uncoupled_cpl    extractionPatterns(producesProduct, arg1 Reader and arg2
0.020291686679281915) 0.020291686679281915
uncoupled_cpl    extractionPatterns(producesProduct, arg1 Reader from
arg2 0.025761117434972287)   0.025761117434972287
uncoupled_cpl    extractionPatterns(producesProduct, arg1 released a new
version of arg2 0.013398292573927868)    0.013398292573927868
uncoupled_cpl    extractionPatterns(producesProduct, arg1 released the
arg2 0.0012288788860495207) 0.0012288788860495207
uncoupled_cpl    extractionPatterns(producesProduct, arg1 released the
first arg2 0.006090135182815755) 0.006090135182815755
uncoupled_cpl    extractionPatterns(producesProduct, arg1 unveils arg2
0.0016761647202156494) 0.0016761647202156494
uncoupled_cpl    extractionPatterns(producesProduct, arg1 website to
download arg2 0.025242706915786305)      0.025242706915786305
uncoupled_cpl    extractionPatterns(producesProduct, arg1 will release
arg2 0.0010893250442489833) 0.0010893250442489833
uncoupled_cpl    extractionPatterns(producesProduct, arg2 Acrobat Reader
from arg1 0.11844660626391447)     0.11844660626391447
uncoupled_cpl    extractionPatterns(producesProduct, arg2 are registered
trademarks of arg1 9.267840271159735E-4)       9.267840271159735E-4
uncoupled_cpl    extractionPatterns(producesProduct, arg2 are trademarks
of arg1 0.002126980309950245)      0.002126980309950245
uncoupled_cpl    extractionPatterns(producesProduct, arg2 division at
arg1 0.0014970062478093726) 0.0014970062478093726
uncoupled_cpl    extractionPatterns(producesProduct, arg2 is a free
download from arg1 0.03883493697513843) 0.03883493697513843
uncoupled_cpl    extractionPatterns(producesProduct, arg2 is a registered
trademark of arg1 0.009848698150450337) 0.009848698150450337
uncoupled_cpl    extractionPatterns(producesProduct, arg2 is a trademark
of arg1 0.006570108054299065)      0.006570108054299065
uncoupled_cpl    extractionPatterns(producesProduct, arg2 is available
for free from arg1 0.04271846571013873) 0.04271846571013873
uncoupled_cpl    extractionPatterns(producesProduct, arg2 is available
free from arg1 0.019047622278049382)     0.019047622278049382
uncoupled_cpl    extractionPatterns(producesProduct, arg2 logo are
registered trademarks of arg1 0.03007518096547038) 0.03007518096547038
uncoupled_cpl    extractionPatterns(producesProduct, arg2 Logo are
trademarks of arg1 0.01714285174723635) 0.01714285174723635
uncoupled_cpl    extractionPatterns(producesProduct, arg2 logo are
trademarks of arg1 0.021459217620852053)       0.021459217620852053
uncoupled_cpl    extractionPatterns(producesProduct, arg2 logos are
trademarks of arg1 0.019047622278049382)       0.019047622278049382
uncoupled_cpl    extractionPatterns(producesProduct, arg2 Player from
arg1 0.03476483123132379)    0.03476483123132379
uncoupled_cpl    extractionPatterns(producesProduct, arg2 plugin from
arg1 0.02663934555141588)    0.02663934555141588
uncoupled_cpl    extractionPatterns(producesProduct, arg2 Reader are
trademarks of arg1 0.034836067726532506)       0.034836067726532506
uncoupled_cpl    extractionPatterns(producesProduct, arg2 reader
available from arg1 0.019047622278049382)      0.019047622278049382
uncoupled_cpl    extractionPatterns(producesProduct, arg2 Reader
available from arg1 0.036809806070383186)      0.036809806070383186
uncoupled_cpl    extractionPatterns(producesProduct, arg2 Reader by arg1
0.03067485547155532)   0.03067485547155532
uncoupled_cpl    extractionPatterns(producesProduct, arg2 Reader can be
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uncoupled_cpl    extractionPatterns(producesProduct, arg2 Reader free
from arg1 0.034836067726532506)    0.034836067726532506
uncoupled_cpl    extractionPatterns(producesProduct, arg2 reader from
arg1 0.1444200805804759)     0.1444200805804759
uncoupled_cpl    extractionPatterns(producesProduct, arg2 Reader from
arg1 0.4086652163742116)     0.4086652163742116
uncoupled_cpl    extractionPatterns(producesProduct, arg2 Reader is
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uncoupled_cpl    extractionPatterns(producesProduct, arg2 Reader is
available from arg1 0.054704571445629) 0.054704571445629
uncoupled_cpl    extractionPatterns(producesProduct, arg2 Reader software
from arg1 0.091903699014565) 0.091903699014565
uncoupled_cpl    extractionPatterns(producesProduct, arg2 SDK from arg1
0.0020415111204985675) 0.0020415111204985675
uncoupled_cpl    extractionPatterns(producesProduct, arg2 Store are
trademarks of arg1 0.022857134006941678)       0.022857134006941678
uncoupled_cpl    extractionPatterns(producesProduct, arg2 video game
system from arg1 0.002994011955020061) 0.002994011955020061
uncoupled_cpl    extractionPatterns(producesProduct, arg2 viewer from
arg1 0.01201716781921339)    0.01201716781921339
uncoupled_cpl    extractionPatterns(producesProduct, arg2 Viewer from
arg1 0.0154506377217741)     0.0154506377217741
uncoupled_cpl    extractionPatterns(producesProduct, arg2 which is
available free from arg1 0.02330097671943536) 0.02330097671943536
uncoupled_cpl    extractionPatterns(product, account in _
0.13166321740714884)   0.13166321740714884
uncoupled_cpl    extractionPatterns(product, amounts of _
0.14462038559146764)   0.14462038559146764
uncoupled_cpl    extractionPatterns(product, applications like _
0.063607493070619)     0.063607493070619
uncoupled_cpl    extractionPatterns(product, applications such as _
0.08226652480771321)   0.08226652480771321
uncoupled_cpl    extractionPatterns(product, _ based applications
0.14516721414312359)   0.14516721414312359
uncoupled_cpl    extractionPatterns(product, bottle of _
0.17989013060154418)   0.17989013060154418
uncoupled_cpl    extractionPatterns(product, bottles of _
0.1613142424269122)    0.1613142424269122
uncoupled_cpl    extractionPatterns(product, companies like _
0.10015683215259291)   0.10015683215259291
uncoupled_cpl    extractionPatterns(product, companies such   as _
0.08655467359768082)   0.08655467359768082
uncoupled_cpl    extractionPatterns(product, deal of _
0.13061359122261226)   0.13061359122261226
uncoupled_cpl    extractionPatterns(product, drops of _
0.17689463608704387)   0.17689463608704387
uncoupled_cpl    extractionPatterns(product, emails from _
0.15297695344716208)   0.15297695344716208
uncoupled_cpl    extractionPatterns(product, fair amount of   _
0.1594314866219883)    0.1594314866219883
uncoupled_cpl    extractionPatterns(product, free copy of _
0.15797776242596784)   0.15797776242596784
uncoupled_cpl    extractionPatterns(product, games for _
0.1352615456025792)    0.1352615456025792
uncoupled_cpl    extractionPatterns(product, _ installed on
0.14105660715313267)   0.14105660715313267
uncoupled_cpl    extractionPatterns(productInstanceOf, arg1   as a foreign
arg2 0.2578797211131732)     0.2578797211131732
uncoupled_cpl    extractionPatterns(productInstanceOf, arg1   as a second
arg2 0.37902352673818096)    0.37902352673818096
uncoupled_cpl    extractionPatterns(productInstanceOf, arg1   as its
official arg2 0.09916203992217239) 0.09916203992217239
uncoupled_cpl    extractionPatterns(productInstanceOf, arg1   as their
first arg2 0.0835184260677195)     0.0835184260677195
uncoupled_cpl    extractionPatterns(productInstanceOf, arg1   as their
native arg2 0.10626705143071614) 0.10626705143071614
uncoupled_cpl    extractionPatterns(productInstanceOf, arg1   as their
second arg2 0.12876052438280275) 0.12876052438280275
uncoupled_cpl    extractionPatterns(productInstanceOf, arg1   as the
official arg2 0.09079600428635953) 0.09079600428635953
uncoupled_cpl    extractionPatterns(productInstanceOf, arg1   as the state
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uncoupled_cpl    extractionPatterns(productInstanceOf, arg1   became the
official arg2 0.14560773785837222) 0.14560773785837222
uncoupled_cpl    extractionPatterns(productInstanceOf, arg1   became the
state arg2 0.08991828190029519)    0.08991828190029519
uncoupled_cpl    extractionPatterns(productInstanceOf, arg1   brand arg2
1.1055095633468991E-4) 1.1055095633468991E-4
uncoupled_cpl    extractionPatterns(productInstanceOf, arg1   is a foreign
arg2 0.061120558280200764)   0.061120558280200764
uncoupled_cpl    extractionPatterns(productInstanceOf, arg1   is a peaceful
arg2 0.088210347875474)      0.088210347875474
uncoupled_cpl    extractionPatterns(productInstanceOf, arg1   is my second
arg2 0.10642380456320251)    0.10642380456320251
uncoupled_cpl    extractionPatterns(productInstanceOf, arg1   is not my
first arg2 0.13477736635229834)    0.13477736635229834
uncoupled_cpl    extractionPatterns(productInstanceOf, arg1   is not the
first arg2 0.05976733528244702)    0.05976733528244702
uncoupled_cpl    extractionPatterns(productInstanceOf, arg1   is not their
native arg2 0.09683604386779579) 0.09683604386779579
uncoupled_cpl    extractionPatterns(productInstanceOf, arg1   is not the
native arg2 0.13477736635229834) 0.13477736635229834
uncoupled_cpl    extractionPatterns(productInstanceOf, arg1   is the
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uncoupled_cpl    extractionPatterns(productInstanceOf, arg1 is their
second arg2 0.10195527930767781) 0.10195527930767781
uncoupled_cpl    extractionPatterns(productInstanceOf, arg1 is the most
popular arg2 6.633061517558301E-5) 6.633061517558301E-5
uncoupled_cpl    extractionPatterns(productInstanceOf, arg1 is the native
arg2 0.09204221025806826)    0.09204221025806826
uncoupled_cpl    extractionPatterns(productInstanceOf, arg1 is the
official arg2 0.08117808154211406) 0.08117808154211406
uncoupled_cpl    extractionPatterns(productInstanceOf, arg1 is your
second arg2 0.12876052438280275) 0.12876052438280275
uncoupled_cpl    extractionPatterns(productInstanceOf, arg1 or Firefox
arg2 0.03740877411765791)    0.03740877411765791
uncoupled_cpl    extractionPatterns(productInstanceOf, arg1 the official
arg2 0.08909758938803908)    0.08909758938803908
uncoupled_cpl    extractionPatterns(productInstanceOf, arg2 address from
arg1 0.09552846624952446)    0.09552846624952446
uncoupled_cpl    extractionPatterns(productInstanceOf, arg2 applications
such as arg1 0.001227181748421219) 0.001227181748421219
uncoupled_cpl    extractionPatterns(productInstanceOf, arg2 browser like
arg1 0.08667879535694656)    0.08667879535694656
uncoupled_cpl    extractionPatterns(productInstanceOf, arg2 browsers like
arg1 0.10474860894807995)    0.10474860894807995
uncoupled_cpl    extractionPatterns(productInstanceOf, arg2 browsers such
as arg1 0.1677853156170091) 0.1677853156170091
uncoupled_cpl    extractionPatterns(productInstanceOf, arg2 browser such
as arg1 0.16684600795874363) 0.16684600795874363
uncoupled_cpl    extractionPatterns(productInstanceOf, arg2 client like
arg1 0.20941172265438693)    0.20941172265438693
uncoupled_cpl    extractionPatterns(productInstanceOf, arg2 clients like
arg1 0.057169656621217944)   0.057169656621217944
uncoupled_cpl    extractionPatterns(productInstanceOf, arg2 clients such
as arg1 0.13946996577567486) 0.13946996577567486
uncoupled_cpl    extractionPatterns(productInstanceOf, arg2 client such
as arg1 0.3281596668055603) 0.3281596668055603
uncoupled_cpl    extractionPatterns(productInstanceOf, arg2 editor like
arg1 0.15148616171800128)    0.15148616171800128
uncoupled_cpl    extractionPatterns(productInstanceOf, arg2 editor such
as arg1 0.2291466700225836) 0.2291466700225836
uncoupled_cpl    extractionPatterns(productInstanceOf, arg2 packages such
as arg1 0.001533977873800443)      0.001533977873800443
uncoupled_cpl    extractionPatterns(productInstanceOf, arg2 program arg1
5.5589901550135814E-5) 5.5589901550135814E-5
uncoupled_cpl    extractionPatterns(productInstanceOf, arg2 program like
arg1 0.0860465371014112)     0.0860465371014112
uncoupled_cpl    extractionPatterns(productInstanceOf, arg2 programs like
arg1 0.002454363053682738)   0.002454363053682738
uncoupled_cpl    extractionPatterns(productInstanceOf, arg2 programs such
as arg1 0.0029956441362645357)     0.0029956441362645357
uncoupled_cpl    extractionPatterns(productInstanceOf, arg2 programs such
as Microsoft arg1 0.050182495917111436) 0.050182495917111436
uncoupled_cpl    extractionPatterns(productInstanceOf, arg2 program such
as arg1 0.1005709329445217) 0.1005709329445217
uncoupled_cpl    extractionPatterns(productInstanceOf, arg2 program such
as Microsoft arg1 0.1623528866790065)    0.1623528866790065
uncoupled_cpl    extractionPatterns(productInstanceOf, arg2 similar to
arg1 5.163158295219011E-5)   5.163158295219011E-5
uncoupled_cpl    extractionPatterns(productInstanceOf, arg2 such as MS
arg1 0.03923359044527536)    0.03923359044527536
uncoupled_cpl    extractionPatterns(productInstanceOf, arg2 that competes
with arg1 6.135909850005543E-4)    6.135909850005543E-4
uncoupled_cpl    extractionPatterns(productInstanceOf, arg2 to compete
with arg1 6.633061517558301E-5)    6.633061517558301E-5
uncoupled_cpl    extractionPatterns(product, integration with _
0.12314583198681474)   0.12314583198681474
uncoupled_cpl    extractionPatterns(product, lawsuit against _
0.11533330941234007)   0.11533330941234007
uncoupled_cpl    extractionPatterns(product, millions of _
0.16959992463390383)   0.16959992463390383
uncoupled_cpl    extractionPatterns(product, module for _
0.3678581047826157)    0.3678581047826157
uncoupled_cpl    extractionPatterns(product, movement in _
0.1282520257159318)    0.1282520257159318
uncoupled_cpl    extractionPatterns(product, older versions of _
0.11183809879170371)   0.11183809879170371
uncoupled_cpl    extractionPatterns(product, _ operating system
0.13194580617217705)   0.13194580617217705
uncoupled_cpl    extractionPatterns(product, period of _
0.42014096208582274)   0.42014096208582274
uncoupled_cpl    extractionPatterns(product, philosophy of _
0.1116533831239603)    0.1116533831239603
uncoupled_cpl    extractionPatterns(product, plug-in for _
0.11689911279129772)   0.11689911279129772
uncoupled_cpl    extractionPatterns(product, plugin for _
0.14213726974188481)   0.14213726974188481
uncoupled_cpl    extractionPatterns(product, proficiency in _
0.12346408190402079)   0.12346408190402079
uncoupled_cpl    extractionPatterns(product, program like _
0.03474151185409357)   0.03474151185409357
uncoupled_cpl    extractionPatterns(product, programs for _
0.13087586505931312)   0.13087586505931312
uncoupled_cpl    extractionPatterns(product, programs like _
0.022199711182185406) 0.022199711182185406
uncoupled_cpl    extractionPatterns(product, programs such as _
0.06827606589183732)   0.06827606589183732
uncoupled_cpl    extractionPatterns(product, program such as _
0.02682046670232973)   0.02682046670232973
uncoupled_cpl    extractionPatterns(product, quantities of _
0.12995396586092273)   0.12995396586092273
uncoupled_cpl    extractionPatterns(product, services like _
0.12477302403213816)   0.12477302403213816
uncoupled_cpl    extractionPatterns(product, services such as _
0.14134437365297225)   0.14134437365297225
uncoupled_cpl    extractionPatterns(product, sites like _
0.16374875623615803)   0.16374875623615803
uncoupled_cpl    extractionPatterns(product, sites such as _
0.1616894110016584)    0.1616894110016584
uncoupled_cpl    extractionPatterns(product, software like _
0.12270084997839283)   0.12270084997839283
uncoupled_cpl    extractionPatterns(product, software such as _
0.03488047715961833)   0.03488047715961833
uncoupled_cpl    extractionPatterns(product, supply of _
0.11294537321866091)   0.11294537321866091
uncoupled_cpl    extractionPatterns(product, systems such as _
0.1261345606762389)    0.1261345606762389
uncoupled_cpl    extractionPatterns(product, teachers of _
0.11073846820921356)   0.11073846820921356
uncoupled_cpl    extractionPatterns(product, term in _
0.12657427360412857)   0.12657427360412857
uncoupled_cpl    extractionPatterns(product, test of _
0.21476733491540306)   0.21476733491540306
uncoupled_cpl    extractionPatterns(product, tons of _
0.12221017140358378)   0.12221017140358378
uncoupled_cpl    extractionPatterns(productType, bags of _
0.25901792789664624)   0.25901792789664624
uncoupled_cpl    extractionPatterns(productType, ball of _
0.261626857077345)     0.261626857077345
uncoupled_cpl    extractionPatterns(productType, bits of _
0.28807137491064805)   0.28807137491064805
uncoupled_cpl    extractionPatterns(productType, bottle of _
0.28131928756990743)   0.28131928756990743
uncoupled_cpl    extractionPatterns(productType, bottles of _
0.29080626195768244)   0.29080626195768244
uncoupled_cpl    extractionPatterns(productType, bucket of _
0.24065064572089223)   0.24065064572089223
uncoupled_cpl    extractionPatterns(productType, chunks of _
0.2604102517976654)    0.2604102517976654
uncoupled_cpl    extractionPatterns(productType, _ collected from
0.26430619985610737)   0.26430619985610737
uncoupled_cpl    extractionPatterns(productType, considerable amount of _
0.2808599872046093)    0.2808599872046093
uncoupled_cpl    extractionPatterns(productType, consumption of _
0.2598252472255932)    0.2598252472255932
uncoupled_cpl    extractionPatterns(productType, _ contained within
0.27014025281050735)   0.27014025281050735
uncoupled_cpl    extractionPatterns(productType, cup of _
0.4420686907687902)    0.4420686907687902
uncoupled_cpl    extractionPatterns(productType, drop of _
0.25534390381839517)   0.25534390381839517
uncoupled_cpl    extractionPatterns(productType, drops of _
0.2657540558436908)    0.2657540558436908
uncoupled_cpl    extractionPatterns(productType, exchange of _
0.44343324817657565)   0.44343324817657565
uncoupled_cpl    extractionPatterns(productType, flow of _
0.26662796013800666)   0.26662796013800666
uncoupled_cpl    extractionPatterns(productType, hands with _
0.05409995093833908)   0.05409995093833908
uncoupled_cpl    extractionPatterns(productType, huge amount of _
0.26372220068323377)   0.26372220068323377
uncoupled_cpl    extractionPatterns(productType, important source of _
0.25765211382283754)   0.25765211382283754
uncoupled_cpl    extractionPatterns(productType, large amount of _
0.2606017236900373)    0.2606017236900373
uncoupled_cpl    extractionPatterns(productType,   large amounts of _
0.27759029814655695)   0.27759029814655695
uncoupled_cpl    extractionPatterns(productType,   layer of _
0.2612091112275658)    0.2612091112275658
uncoupled_cpl    extractionPatterns(productType,   limited amount of _
0.28266862607874965)   0.28266862607874965
uncoupled_cpl    extractionPatterns(productType,   main source of _
0.2771260007128358)    0.2771260007128358
uncoupled_cpl    extractionPatterns(productType,   major source of _
0.2567362463154328)    0.2567362463154328
uncoupled_cpl    extractionPatterns(productType,   materials such as _
0.26676264126199795)   0.26676264126199795
uncoupled_cpl    extractionPatterns(productType,   other sources of _
0.3616237399870863)    0.3616237399870863
uncoupled_cpl    extractionPatterns(productType,   period of _
0.425851749137773)     0.425851749137773
uncoupled_cpl    extractionPatterns(productType,   piece of _
0.033718824738492324) 0.033718824738492324
uncoupled_cpl    extractionPatterns(productType,   pile of _
0.25891149340206754)   0.25891149340206754
uncoupled_cpl    extractionPatterns(productType,   piles of _
0.2695964682480315)    0.2695964682480315
uncoupled_cpl    extractionPatterns(productType,   pot of _
0.42328312398142454)   0.42328312398142454
uncoupled_cpl    extractionPatterns(productType,   primary source of _
0.2638854952599141)    0.2638854952599141
uncoupled_cpl    extractionPatterns(productType,   quantities of _
0.27337439857161705)   0.27337439857161705
uncoupled_cpl    extractionPatterns(productType,   right amount of _
0.2619334015737563)    0.2619334015737563
uncoupled_cpl    extractionPatterns(productType,   same amount of _
0.3107131934046912)    0.3107131934046912
uncoupled_cpl    extractionPatterns(productType,   scraps of _
0.2724075468666682)    0.2724075468666682
uncoupled_cpl    extractionPatterns(productType,   selection of _
0.04161668959431279)   0.04161668959431279
uncoupled_cpl    extractionPatterns(productType,   sheet of _
0.46242079072231224)   0.46242079072231224
uncoupled_cpl    extractionPatterns(productType,   significant amount of _
0.26881039478653235)   0.26881039478653235
uncoupled_cpl    extractionPatterns(productType,   small amount of _
0.27234163221632085)   0.27234163221632085
uncoupled_cpl    extractionPatterns(productType,   small amounts of _
0.2726770911982207)    0.2726770911982207
uncoupled_cpl    extractionPatterns(productType,   stack of _
0.26235335517609876)   0.26235335517609876
uncoupled_cpl    extractionPatterns(productType,   streams of _
0.26532414813147764)   0.26532414813147764
uncoupled_cpl    extractionPatterns(productType,   strip of _
0.2578173217712887)    0.2578173217712887
uncoupled_cpl    extractionPatterns(productType,   suite of _
0.26941158849182006)   0.26941158849182006
uncoupled_cpl    extractionPatterns(productType,   variety of _
0.09828498600150189)   0.09828498600150189
uncoupled_cpl    extractionPatterns(productType, version of _
0.06662269458144257)   0.06662269458144257
uncoupled_cpl    extractionPatterns(productType, waste of _
0.5371338287354763)    0.5371338287354763
uncoupled_cpl    extractionPatterns(productType, wealth of _
0.29479178069760154)   0.29479178069760154
uncoupled_cpl    extractionPatterns(product, users have _
0.11359508948429674)   0.11359508948429674
uncoupled_cpl    extractionPatterns(product, version of _
0.2537519662215008)    0.2537519662215008
uncoupled_cpl    extractionPatterns(product, videos on _
0.20069980395229056)   0.20069980395229056
uncoupled_cpl    extractionPatterns(product, war between _
0.1285261362997621)    0.1285261362997621
uncoupled_cpl    extractionPatterns(professionalOrganization,   annual
conference of _ 0.1820496184892642)      0.1820496184892642
uncoupled_cpl    extractionPatterns(professionalOrganization,   annual
meeting of _ 0.21799198127756497) 0.21799198127756497
uncoupled_cpl    extractionPatterns(professionalOrganization,   _ appointed
by 0.13790544635536825)      0.13790544635536825
uncoupled_cpl    extractionPatterns(professionalOrganization,   approval by
_ 0.13446235602086098) 0.13446235602086098
uncoupled_cpl    extractionPatterns(professionalOrganization,   _ are
appointed by 0.15779445667337083) 0.15779445667337083
uncoupled_cpl    extractionPatterns(professionalOrganization,   _ are
elected by 0.14174522826137104)    0.14174522826137104
uncoupled_cpl    extractionPatterns(professionalOrganization,   boards of _
0.25520962824255905)   0.25520962824255905
uncoupled_cpl    extractionPatterns(professionalOrganization,   Bylaws of _
0.1368518944954654)    0.1368518944954654
uncoupled_cpl    extractionPatterns(professionalOrganization,   committees
of _ 0.1497828051302094)     0.1497828051302094
uncoupled_cpl    extractionPatterns(professionalOrganization,
consideration by _ 0.13502909570835842) 0.13502909570835842
uncoupled_cpl    extractionPatterns(professionalOrganization,   council of
_ 0.13958228430026498) 0.13958228430026498
uncoupled_cpl    extractionPatterns(professionalOrganization,   courses
offered by _ 0.1597730353301307) 0.1597730353301307
uncoupled_cpl    extractionPatterns(professionalOrganization,   delegation
of _ 0.14300381081805535)    0.14300381081805535
uncoupled_cpl    extractionPatterns(professionalOrganization,   editorial
board of _ 0.1309170974505675)     0.1309170974505675
uncoupled_cpl    extractionPatterns(professionalOrganization,   education
of _ 0.14763238209365542)    0.14763238209365542
uncoupled_cpl    extractionPatterns(professionalOrganization,   emails from
_ 0.13847257325560905) 0.13847257325560905
uncoupled_cpl    extractionPatterns(professionalOrganization,   fellow of _
0.021641489424337676) 0.021641489424337676
uncoupled_cpl    extractionPatterns(professionalOrganization,   fields of _
0.1387299557298078)    0.1387299557298078
uncoupled_cpl    extractionPatterns(professionalOrganization,   funds of _
0.131751593072749)     0.131751593072749
uncoupled_cpl    extractionPatterns(professionalOrganization,   _ gathered
in 0.14927918521453326)      0.14927918521453326
uncoupled_cpl    extractionPatterns(professionalOrganization,   gathering
of _ 0.14593776722916216)    0.14593776722916216
uncoupled_cpl    extractionPatterns(professionalOrganization,   heads of _
0.14722518405367002)   0.14722518405367002
uncoupled_cpl    extractionPatterns(professionalOrganization,   individual
members of _ 0.1351744652101071) 0.1351744652101071
uncoupled_cpl    extractionPatterns(professionalOrganization,   _ is
chaired by 0.1391082321889244)     0.1391082321889244
uncoupled_cpl    extractionPatterns(professionalOrganization,   large
numbers of _ 0.197793049389283)    0.197793049389283
uncoupled_cpl    extractionPatterns(professionalOrganization,   majority in
_ 0.1880662471058888) 0.1880662471058888
uncoupled_cpl    extractionPatterns(professionalOrganization,   majority
vote of _ 0.2340938911197097)      0.2340938911197097
uncoupled_cpl    extractionPatterns(professionalOrganization,   meetings of
_ 0.21010245211897088) 0.21010245211897088
uncoupled_cpl    extractionPatterns(professionalOrganization,   Members of
_ 0.29785633679858836) 0.29785633679858836
uncoupled_cpl    extractionPatterns(professionalOrganization,   next
meeting of _ 0.15838507935970308) 0.15838507935970308
uncoupled_cpl    extractionPatterns(professionalOrganization,   officers of
_ 0.12308612073944909) 0.12308612073944909
uncoupled_cpl    extractionPatterns(professionalOrganization,   Officers of
_ 0.17409467822874952) 0.17409467822874952
uncoupled_cpl    extractionPatterns(professionalOrganization,   official
journal of _ 0.1327665441845141) 0.1327665441845141
uncoupled_cpl    extractionPatterns(professionalOrganization,
opportunities for _ 0.1382839637048699) 0.1382839637048699
uncoupled_cpl    extractionPatterns(professionalOrganization,   panel of _
0.16523955657138342)   0.16523955657138342
uncoupled_cpl    extractionPatterns(professionalOrganization,   past
president of _ 0.1405942776409954) 0.1405942776409954
uncoupled_cpl    extractionPatterns(professionalOrganization,   philosophy
of _ 0.1407432458457596)     0.1407432458457596
uncoupled_cpl    extractionPatterns(professionalOrganization,   program is
accredited by _ 0.1648136231793635)      0.1648136231793635
uncoupled_cpl    extractionPatterns(professionalOrganization,   programs
for _ 0.13898781660732115)   0.13898781660732115
uncoupled_cpl    extractionPatterns(professionalOrganization,   quorum of _
0.1707695999005308)    0.1707695999005308
uncoupled_cpl    extractionPatterns(professionalOrganization,   secretary
of _ 0.3156466144094444)     0.3156466144094444
uncoupled_cpl    extractionPatterns(professionalOrganization,   Section of
_ 0.12882260191503866) 0.12882260191503866
uncoupled_cpl    extractionPatterns(professionalOrganization,   senior
member of _ 0.07106601821177326) 0.07106601821177326
uncoupled_cpl    extractionPatterns(professionalOrganization,   sources of
_ 0.17525030722533771) 0.17525030722533771
uncoupled_cpl    extractionPatterns(professionalOrganization,   special
meeting of _ 0.14045094459008456) 0.14045094459008456
uncoupled_cpl    extractionPatterns(professionalOrganization,   Student
Chapter of _ 0.028423784554383713) 0.028423784554383713
uncoupled_cpl    extractionPatterns(professionalOrganization,   student
chapter of _ 0.04521962974613901) 0.04521962974613901
uncoupled_cpl    extractionPatterns(professionalOrganization, student
member of _ 0.03359174253847007) 0.03359174253847007
uncoupled_cpl    extractionPatterns(professionalOrganization, term of _
0.1531448612456826)    0.1531448612456826
uncoupled_cpl    extractionPatterns(professionalOrganization, term on _
0.13591793425167922)   0.13591793425167922
uncoupled_cpl    extractionPatterns(profession, applications from _
0.1714756508511882)    0.1714756508511882
uncoupled_cpl    extractionPatterns(profession, _ appointed by
0.16592390489034226)   0.16592390489034226
uncoupled_cpl    extractionPatterns(profession, association of _
0.1680237400064385)    0.1680237400064385
uncoupled_cpl    extractionPatterns(profession, board of _
0.43451491849932844)   0.43451491849932844
uncoupled_cpl    extractionPatterns(profession, careers in _
0.23084356630688058)   0.23084356630688058
uncoupled_cpl    extractionPatterns(profession, coalition of _
0.18990088515708692)   0.18990088515708692
uncoupled_cpl    extractionPatterns(profession, collaboration between _
0.17406369213386905)   0.17406369213386905
uncoupled_cpl    extractionPatterns(profession, college of _
0.16723320559387939)   0.16723320559387939
uncoupled_cpl    extractionPatterns(profession, communication among _
0.16470488207657633)   0.16470488207657633
uncoupled_cpl    extractionPatterns(profession, community of _
0.1972620955941189)    0.1972620955941189
uncoupled_cpl    extractionPatterns(profession, degree in _
0.19021619220043723)   0.19021619220043723
uncoupled_cpl    extractionPatterns(profession, departments of _
0.19839684231679144)   0.19839684231679144
uncoupled_cpl    extractionPatterns(profession, development for _
0.03960998682366883)   0.03960998682366883
uncoupled_cpl    extractionPatterns(profession, diverse group of _
0.2034862182459418)    0.2034862182459418
uncoupled_cpl    extractionPatterns(profession, _ enrolled in
0.2249192117823171)    0.2249192117823171
uncoupled_cpl    extractionPatterns(profession, excellence in _
0.16532847937090706)   0.16532847937090706
uncoupled_cpl    extractionPatterns(profession, exchange of _
0.2235283561101827)    0.2235283561101827
uncoupled_cpl    extractionPatterns(profession, experiences for _
0.17021788263523915)   0.17021788263523915
uncoupled_cpl    extractionPatterns(profession, faculty of _
0.16710465269370292)   0.16710465269370292
uncoupled_cpl    extractionPatterns(profession, feedback from _
0.16916917994955602)   0.16916917994955602
uncoupled_cpl    extractionPatterns(profession, field of _
0.17518092184288897)   0.17518092184288897
uncoupled_cpl    extractionPatterns(profession, fields of _
0.22584327358285952)   0.22584327358285952
uncoupled_cpl    extractionPatterns(profession, generations of _
0.17022043592262825)   0.17022043592262825
uncoupled_cpl    extractionPatterns(profession, incentives for _
0.1765468497772022)    0.1765468497772022
uncoupled_cpl    extractionPatterns(profession, _ interested in
0.19223359612203128)   0.19223359612203128
uncoupled_cpl    extractionPatterns(profession, interviews with _
0.16892355562037817)   0.16892355562037817
uncoupled_cpl    extractionPatterns(profession, majoring in _
0.18293635015545145)   0.18293635015545145
uncoupled_cpl    extractionPatterns(profession, network of _
0.06400967725139835)   0.06400967725139835
uncoupled_cpl    extractionPatterns(profession, new generation of _
0.19305715384583533)   0.19305715384583533
uncoupled_cpl    extractionPatterns(profession, next generation of _
0.19681403123099994)   0.19681403123099994
uncoupled_cpl    extractionPatterns(profession, opportunities for _
0.19271574491956125)   0.19271574491956125
uncoupled_cpl    extractionPatterns(profession, panel of _
0.21252131282497425)   0.21252131282497425
uncoupled_cpl    extractionPatterns(profession, partnerships with _
0.19757974578698012)   0.19757974578698012
uncoupled_cpl    extractionPatterns(profession, professional development
of _ 0.04117261203941452)    0.04117261203941452
uncoupled_cpl    extractionPatterns(profession, professionals such as _
0.03601229035641601)   0.03601229035641601
uncoupled_cpl    extractionPatterns(profession, profession of _
0.17069669684728284)   0.17069669684728284
uncoupled_cpl    extractionPatterns(profession, professor of _
0.1440024450552414)    0.1440024450552414
uncoupled_cpl    extractionPatterns(profession, program allows _
0.18843126132595084)   0.18843126132595084
uncoupled_cpl    extractionPatterns(profession, program of _
0.23112213158894884)   0.23112213158894884
uncoupled_cpl    extractionPatterns(profession, program provides _
0.17466105704491608)   0.17466105704491608
uncoupled_cpl    extractionPatterns(profession, reading for _
0.203716491353674)     0.203716491353674
uncoupled_cpl    extractionPatterns(profession, requests from _
0.16400948786434127)   0.16400948786434127
uncoupled_cpl    extractionPatterns(profession, resource for _
0.17213589963286166)   0.17213589963286166
uncoupled_cpl    extractionPatterns(profession, rule of _
0.28941142133407644)   0.28941142133407644
uncoupled_cpl    extractionPatterns(profession, small group of _
0.18724356930593195)   0.18724356930593195
uncoupled_cpl    extractionPatterns(profession, team of _
0.26522440500466316)   0.26522440500466316
uncoupled_cpl    extractionPatterns(profession, teams of _
0.21725184985613466)   0.21725184985613466
uncoupled_cpl    extractionPatterns(profession, training of _
0.20224084294285857)   0.20224084294285857
uncoupled_cpl    extractionPatterns(profession, workshops for _
0.0685225082565642)    0.0685225082565642
uncoupled_cpl    extractionPatterns(profession, works of _
0.3213784108982669)    0.3213784108982669
uncoupled_cpl    extractionPatterns(reptile, actual number of _
0.1505242617717607)    0.1505242617717607
uncoupled_cpl    extractionPatterns(reptile,   average number of _
0.1510802690945507)    0.1510802690945507
uncoupled_cpl    extractionPatterns(reptile,   _ basking on
0.029702977074450767) 0.029702977074450767
uncoupled_cpl    extractionPatterns(reptile,   billions of _
0.13663515605328017)   0.13663515605328017
uncoupled_cpl    extractionPatterns(reptile,   breeding ground for _
0.16356251614227385)   0.16356251614227385
uncoupled_cpl    extractionPatterns(reptile,   brood of _
0.07017543205015186)   0.07017543205015186
uncoupled_cpl    extractionPatterns(reptile,   certain amount of _
0.14484052056816296)   0.14484052056816296
uncoupled_cpl    extractionPatterns(reptile,   certain number of _
0.13280970032386683)   0.13280970032386683
uncoupled_cpl    extractionPatterns(reptile,   clusters of _
0.13752658982852947)   0.13752658982852947
uncoupled_cpl    extractionPatterns(reptile,   couple of _
0.19136551282036124)   0.19136551282036124
uncoupled_cpl    extractionPatterns(reptile,   creatures like _
0.039019958786597204) 0.039019958786597204
uncoupled_cpl    extractionPatterns(reptile,   creatures such as _
0.05870648976981504)   0.05870648976981504
uncoupled_cpl    extractionPatterns(reptile,   difference between _
0.04032256666012084)   0.04032256666012084
uncoupled_cpl    extractionPatterns(reptile,   different groups of _
0.13360227360805943)   0.13360227360805943
uncoupled_cpl    extractionPatterns(reptile,   different species of _
0.1706681928790569)    0.1706681928790569
uncoupled_cpl    extractionPatterns(reptile,   exact number of _
0.13222648913031443)   0.13222648913031443
uncoupled_cpl    extractionPatterns(reptile,   fixed number of _
0.15669014852116572)   0.15669014852116572
uncoupled_cpl    extractionPatterns(reptile,   flurry of _
0.22584485449130773)   0.22584485449130773
uncoupled_cpl    extractionPatterns(reptile,   friend of _
0.43523637703350154)   0.43523637703350154
uncoupled_cpl    extractionPatterns(reptile,   high number of _
0.15206883481823696)   0.15206883481823696
uncoupled_cpl    extractionPatterns(reptile,   hordes of _
0.15188615788961388)   0.15188615788961388
uncoupled_cpl    extractionPatterns(reptile,   huge numbers of _
0.13281939578587051)   0.13281939578587051
uncoupled_cpl    extractionPatterns(reptile,   influx of _
0.15863679467478972)   0.15863679467478972
uncoupled_cpl    extractionPatterns(reptile,   many hundreds of _
0.22295841605507707)   0.22295841605507707
uncoupled_cpl    extractionPatterns(reptile,   many millions of _
0.23769712494460804)   0.23769712494460804
uncoupled_cpl    extractionPatterns(reptile,   many species of _
0.18500082397404022)   0.18500082397404022
uncoupled_cpl    extractionPatterns(reptile,   many thousands of _
0.16170250837438596)   0.16170250837438596
uncoupled_cpl    extractionPatterns(reptile,   maximum number of _
0.13817973689468172)   0.13817973689468172
uncoupled_cpl     extractionPatterns(reptile, minimum number of _
0.15903801774954213)    0.15903801774954213
uncoupled_cpl     extractionPatterns(reptile, organisms such as _
0.1445086372297117)     0.1445086372297117
uncoupled_cpl     extractionPatterns(reptile, other species of _
0.15660430584281823)    0.15660430584281823
uncoupled_cpl     extractionPatterns(reptile, passage of _
0.21526079197442158)    0.21526079197442158
uncoupled_cpl     extractionPatterns(reptile, plenty of _
0.039603966563223)      0.039603966563223
uncoupled_cpl     extractionPatterns(reptile, presence of _
0.041804177677823566) 0.041804177677823566
uncoupled_cpl     extractionPatterns(reptile, record number of _
0.1592945937788737)     0.1592945937788737
uncoupled_cpl     extractionPatterns(reptile, required number of _
0.16276383399508224)    0.16276383399508224
uncoupled_cpl     extractionPatterns(reptile, _ ruled the earth
0.0622119609184229)     0.0622119609184229
uncoupled_cpl     extractionPatterns(reptile, same number of _
0.13331360419875793)    0.13331360419875793
uncoupled_cpl     extractionPatterns(reptile, set number of _
0.15669265558359852)    0.15669265558359852
uncoupled_cpl     extractionPatterns(reptile, several species of _
0.160078973683452)      0.160078973683452
uncoupled_cpl     extractionPatterns(reptile, span of _
0.16691075677028874)    0.16691075677028874
uncoupled_cpl     extractionPatterns(reptile, specific number of _
0.16402588963320247)    0.16402588963320247
uncoupled_cpl     extractionPatterns(reptile, specified number of _
0.2734741984394636)     0.2734741984394636
uncoupled_cpl     extractionPatterns(reptile, swarm of _
0.1756022121842991)     0.1756022121842991
uncoupled_cpl     extractionPatterns(reptile, swarms of _
0.218564087678418)      0.218564087678418
uncoupled_cpl     extractionPatterns(reptile, total number of _
0.1595490309373884)     0.1595490309373884
uncoupled_cpl     extractionPatterns(reptile, variety of _
0.13861388733826) 0.13861388733826
uncoupled_cpl     extractionPatterns(reptile, various species of _
0.13443250869100054)    0.13443250869100054
uncoupled_cpl     extractionPatterns(reptile, _ were caused by
0.1517200852911575)     0.1517200852911575
uncoupled_cpl     extractionPatterns(reptile, wildlife such as _
0.042626719671195135) 0.042626719671195135
uncoupled_cpl     extractionPatterns(room, air conditioned _
0.1444200805804759)     0.1444200805804759
uncoupled_cpl     extractionPatterns(room, amount of _
0.17213125202631455)    0.17213125202631455
uncoupled_cpl     extractionPatterns(room, _ are air 0.17823292797693308)
      0.17823292797693308
uncoupled_cpl     extractionPatterns(room, _ are furnished with
0.2825180038454407)     0.2825180038454407
uncoupled_cpl     extractionPatterns(room, breadth of _
0.1318901367890384)     0.1318901367890384
uncoupled_cpl    extractionPatterns(room, burden of _
0.17675176294960615)    0.17675176294960615
uncoupled_cpl    extractionPatterns(room, conditions of _
0.13657901054283497)    0.13657901054283497
uncoupled_cpl    extractionPatterns(room, _ decorating ideas
0.17395754565963345)    0.17395754565963345
uncoupled_cpl    extractionPatterns(room, _ designated by
0.12376854873473511)    0.12376854873473511
uncoupled_cpl    extractionPatterns(room, _ designated for
0.14467911338895395)    0.14467911338895395
uncoupled_cpl    extractionPatterns(room, determination of _
0.15527337591534057)    0.15527337591534057
uncoupled_cpl    extractionPatterns(room, ease of _ 0.4422181352409631)
      0.4422181352409631
uncoupled_cpl    extractionPatterns(room, eligibility for _
0.1221537233449009)     0.1221537233449009
uncoupled_cpl    extractionPatterns(room, End of _ 0.16207987657317127)
      0.16207987657317127
uncoupled_cpl    extractionPatterns(room, fireplace in _
0.16738194201719672)    0.16738194201719672
uncoupled_cpl    extractionPatterns(room, first year of _
0.12091662747588242)    0.12091662747588242
uncoupled_cpl    extractionPatterns(room, full range of _
0.13466972224612997)    0.13466972224612997
uncoupled_cpl    extractionPatterns(room, great deal of _
0.1513117501400596)     0.1513117501400596
uncoupled_cpl    extractionPatterns(room, _ has a king size bed
0.11145515124333853)    0.11145515124333853
uncoupled_cpl    extractionPatterns(room, _ is decorated with
0.12238028403791436)    0.12238028403791436
uncoupled_cpl    extractionPatterns(room, _ is equipped with
0.13590746897366018)    0.13590746897366018
uncoupled_cpl    extractionPatterns(room, _ is furnished with
0.10753423682780155)    0.10753423682780155
uncoupled_cpl    extractionPatterns(room, items for _
0.18631807223258845)    0.18631807223258845
uncoupled_cpl    extractionPatterns(room, _ left on 0.251095985650839)
      0.251095985650839
uncoupled_cpl    extractionPatterns(room, length of _
0.17894657166760028)    0.17894657166760028
uncoupled_cpl    extractionPatterns(room, network of _
1.0373496012873307)     1.0373496012873307
uncoupled_cpl    extractionPatterns(room, number of different _
0.13189409355249326)    0.13189409355249326
uncoupled_cpl    extractionPatterns(room, _ offered at
0.14396572911323385)    0.14396572911323385
uncoupled_cpl    extractionPatterns(room, _ offered by
0.1770700255625374)     0.1770700255625374
uncoupled_cpl    extractionPatterns(room, _ offered through
0.19812839477229455)    0.19812839477229455
uncoupled_cpl    extractionPatterns(room, offer of _ 0.16229526163328623)
      0.16229526163328623
uncoupled_cpl    extractionPatterns(room, period of _
0.42214686675802476)    0.42214686675802476
uncoupled_cpl    extractionPatterns(room, plenty of _
0.08192771048408255)   0.08192771048408255
uncoupled_cpl    extractionPatterns(room, point in _ 0.1520113636614086)
      0.1520113636614086
uncoupled_cpl    extractionPatterns(room, program of _
0.22134405014857944)   0.22134405014857944
uncoupled_cpl    extractionPatterns(room, _ provided at
0.12117372733603653)   0.12117372733603653
uncoupled_cpl    extractionPatterns(room, provision of _
0.13399979619033922)   0.13399979619033922
uncoupled_cpl    extractionPatterns(room, _ remodeling ideas
0.08513934600659442)   0.08513934600659442
uncoupled_cpl    extractionPatterns(room, _ required for
0.120598672766803)     0.120598672766803
uncoupled_cpl    extractionPatterns(room, rooms have private _
0.1552853324256058)    0.1552853324256058
uncoupled_cpl    extractionPatterns(room, rooms with private _
0.1343943352794133)    0.1343943352794133
uncoupled_cpl    extractionPatterns(room, schedule of _
0.12489173961830675)   0.12489173961830675
uncoupled_cpl    extractionPatterns(room, _ set by 0.12885287878388146)
      0.12885287878388146
uncoupled_cpl    extractionPatterns(room, sofa in _ 0.22405426544848628)
      0.22405426544848628
uncoupled_cpl    extractionPatterns(room, standard of _
0.29916051804345634)   0.29916051804345634
uncoupled_cpl    extractionPatterns(room, ton of _ 0.12707599317749954)
      0.12707599317749954
uncoupled_cpl    extractionPatterns(room, unit of _ 0.14057656387800316)
      0.14057656387800316
uncoupled_cpl    extractionPatterns(room, variety of _
0.16506020381911873)   0.16506020381911873
uncoupled_cpl    extractionPatterns(room, _ was approved by
0.17321078772622023)   0.17321078772622023
uncoupled_cpl    extractionPatterns(room, _ was packed with
0.16610901322301286)   0.16610901322301286
uncoupled_cpl    extractionPatterns(scientist, administration from _
0.2486741186833512)    0.2486741186833512
uncoupled_cpl    extractionPatterns(scientist, assistant professor at _
0.2590881312672333)    0.2590881312672333
uncoupled_cpl    extractionPatterns(scientist, associate professor at _
0.25052714526421593)   0.25052714526421593
uncoupled_cpl    extractionPatterns(scientist, biology at _
0.2496533308613874)    0.2496533308613874
uncoupled_cpl    extractionPatterns(scientist, candidate at _
0.19528836849311643)   0.19528836849311643
uncoupled_cpl    extractionPatterns(scientist, chemistry at _
0.22670016355700282)   0.22670016355700282
uncoupled_cpl    extractionPatterns(scientist, computer science at _
0.2852643456516664)    0.2852643456516664
uncoupled_cpl    extractionPatterns(scientist, cum laude from _
0.2501638939789774)    0.2501638939789774
uncoupled_cpl    extractionPatterns(scientist, disciple of _
0.15670816892439898)   0.15670816892439898
uncoupled_cpl    extractionPatterns(scientist,   disciples of _
0.20393621614173585)   0.20393621614173585
uncoupled_cpl    extractionPatterns(scientist,   divinity of _
0.20299498594981494)   0.20299498594981494
uncoupled_cpl    extractionPatterns(scientist,   doctorate from _
0.3024204534179243)    0.3024204534179243
uncoupled_cpl    extractionPatterns(scientist,   economics at _
0.25821724848316724)   0.25821724848316724
uncoupled_cpl    extractionPatterns(scientist,   education at _
0.08209616294286812)   0.08209616294286812
uncoupled_cpl    extractionPatterns(scientist,   engineering from _
0.2747196928173257)    0.2747196928173257
uncoupled_cpl    extractionPatterns(scientist,   faculty member at _
0.22254854976216215)   0.22254854976216215
uncoupled_cpl    extractionPatterns(scientist,   fellowship at _
0.24474583869100514)   0.24474583869100514
uncoupled_cpl    extractionPatterns(scientist,   figures such as _
0.011111107448114659) 0.011111107448114659
uncoupled_cpl    extractionPatterns(scientist,   follower of _
0.1644160785077904)    0.1644160785077904
uncoupled_cpl    extractionPatterns(scientist,   followers of _
0.14617043136013685)   0.14617043136013685
uncoupled_cpl    extractionPatterns(scientist,   freshman at _
0.19170817214016775)   0.19170817214016775
uncoupled_cpl    extractionPatterns(scientist,   graduate student at _
0.279344078702311)     0.279344078702311
uncoupled_cpl    extractionPatterns(scientist,   graduate students at _
0.19104486179639313)   0.19104486179639313
uncoupled_cpl    extractionPatterns(scientist,   History at _
0.3430109184867323)    0.3430109184867323
uncoupled_cpl    extractionPatterns(scientist,   lab at _
0.09985801020044453)   0.09985801020044453
uncoupled_cpl    extractionPatterns(scientist,   law degree from _
0.34068703808176826)   0.34068703808176826
uncoupled_cpl    extractionPatterns(scientist,   literature at _
0.19412072881425516)   0.19412072881425516
uncoupled_cpl    extractionPatterns(scientist,   mathematics at _
0.22096742202105202)   0.22096742202105202
uncoupled_cpl    extractionPatterns(scientist,   mathematics from _
0.26954390206209283)   0.26954390206209283
uncoupled_cpl    extractionPatterns(scientist,   medical degree from _
0.4251063100685856)    0.4251063100685856
uncoupled_cpl    extractionPatterns(scientist,   medical school at _
0.2586630576366489)    0.2586630576366489
uncoupled_cpl    extractionPatterns(scientist,   medicine at _
0.24411398771721998)   0.24411398771721998
uncoupled_cpl    extractionPatterns(scientist,   philosophy at _
0.23141977726621288)   0.23141977726621288
uncoupled_cpl    extractionPatterns(scientist,   physicists like _
0.007942239425309652) 0.007942239425309652
uncoupled_cpl    extractionPatterns(scientist,   physics at _
0.2362600910692137)    0.2362600910692137
uncoupled_cpl    extractionPatterns(scientist,   program at _
0.0805705565144646)    0.0805705565144646
uncoupled_cpl    extractionPatterns(scientist, psychology at _
0.29647867071861944)   0.29647867071861944
uncoupled_cpl    extractionPatterns(scientist, psychology from _
0.3204634659225967)    0.3204634659225967
uncoupled_cpl    extractionPatterns(scientist, quote by _
0.008493356579162252) 0.008493356579162252
uncoupled_cpl    extractionPatterns(scientist, residency at _
0.13959065948857613)   0.13959065948857613
uncoupled_cpl    extractionPatterns(scientist, resurrection of _
0.19505942953582273)   0.19505942953582273
uncoupled_cpl    extractionPatterns(scientist, sayings of _
0.29852129758536117)   0.29852129758536117
uncoupled_cpl    extractionPatterns(scientist, Science degree from _
0.27583290866039234)   0.27583290866039234
uncoupled_cpl    extractionPatterns(scientist, science from _
0.2498318968226772)    0.2498318968226772
uncoupled_cpl    extractionPatterns(scientist, sciences at _
0.263940389151695)     0.263940389151695
uncoupled_cpl    extractionPatterns(scientist, Studies at _
0.26776327260388966)   0.26776327260388966
uncoupled_cpl    extractionPatterns(scientist, teachings of _
0.14161898951070512)   0.14161898951070512
uncoupled_cpl    extractionPatterns(scientist, thinkers such as _
0.007942239425309652) 0.007942239425309652
uncoupled_cpl    extractionPatterns(scientist, time of _
0.03032490369256304)   0.03032490369256304
uncoupled_cpl    extractionPatterns(scientist, undergraduate degree from
_ 0.25352952330260176) 0.25352952330260176
uncoupled_cpl    extractionPatterns(shape, _ are made on
0.21328734176819525)   0.21328734176819525
uncoupled_cpl    extractionPatterns(shape, _ are taking place
0.2622434521465725)    0.2622434521465725
uncoupled_cpl    extractionPatterns(shape, butter into small _
0.051136384996126)     0.051136384996126
uncoupled_cpl    extractionPatterns(shape, certain kinds of _
0.21495318903042127)   0.21495318903042127
uncoupled_cpl    extractionPatterns(shape, chain of _ 0.1749949784573058)
      0.1749949784573058
uncoupled_cpl    extractionPatterns(shape, charge of _
0.2921867869170225)    0.2921867869170225
uncoupled_cpl    extractionPatterns(shape, circle of _
0.22780893630662624)   0.22780893630662624
uncoupled_cpl    extractionPatterns(shape, cluster of _
0.2116843561261486)    0.2116843561261486
uncoupled_cpl    extractionPatterns(shape, clusters of _
0.24963086307267557)   0.24963086307267557
uncoupled_cpl    extractionPatterns(shape, congruence of _
0.06617649099705089)   0.06617649099705089
uncoupled_cpl    extractionPatterns(shape, cool , cut into _
0.0482954464096938)    0.0482954464096938
uncoupled_cpl    extractionPatterns(shape, couple of other _
0.2428896631183421)    0.2428896631183421
uncoupled_cpl    extractionPatterns(shape, difference between _
0.4713911794720451)    0.4713911794720451
uncoupled_cpl    extractionPatterns(shape,   difference of _
0.2859761108921778)    0.2859761108921778
uncoupled_cpl    extractionPatterns(shape,   differences of _
0.3976178145488882)    0.3976178145488882
uncoupled_cpl    extractionPatterns(shape,   exchange of _
0.3138823640660755)    0.3138823640660755
uncoupled_cpl    extractionPatterns(shape,   grid of _ 0.10609068836836066)
      0.10609068836836066
uncoupled_cpl    extractionPatterns(shape,   host of other _
0.24374248508499038)   0.24374248508499038
uncoupled_cpl    extractionPatterns(shape,   infinite number of _
0.25228017588631857)   0.25228017588631857
uncoupled_cpl    extractionPatterns(shape,   _ is replaced by
0.11572506851671961)   0.11572506851671961
uncoupled_cpl    extractionPatterns(shape,   list of possible _
0.24068265438530212)   0.24068265438530212
uncoupled_cpl    extractionPatterns(shape,   lot of different _
0.2287935981457859)    0.2287935981457859
uncoupled_cpl    extractionPatterns(shape,   lot of new _
0.23179799449280514)   0.23179799449280514
uncoupled_cpl    extractionPatterns(shape,   lot of other _
0.22705409180440805)   0.22705409180440805
uncoupled_cpl    extractionPatterns(shape,   _ made during
0.21000813729323237)   0.21000813729323237
uncoupled_cpl    extractionPatterns(shape,   mixture of _
0.3989500730987563)    0.3989500730987563
uncoupled_cpl    extractionPatterns(shape,   multiplicity of _
0.23494684075039732)   0.23494684075039732
uncoupled_cpl    extractionPatterns(shape,   multitude of _
0.22674573486964122)   0.22674573486964122
uncoupled_cpl    extractionPatterns(shape,   network of _
0.11079540241270991)   0.11079540241270991
uncoupled_cpl    extractionPatterns(shape,   next set of _
0.24018471640082611)   0.24018471640082611
uncoupled_cpl    extractionPatterns(shape,   number of important _
0.251020166112499)     0.251020166112499
uncoupled_cpl    extractionPatterns(shape,   number of key _
0.20935372364044594)   0.20935372364044594
uncoupled_cpl    extractionPatterns(shape,   number of possible _
0.21941815196319295)   0.21941815196319295
uncoupled_cpl    extractionPatterns(shape,   _ occurring in
0.21861130262038672)   0.21861130262038672
uncoupled_cpl    extractionPatterns(shape,   particular set of _
0.24056859784066006)   0.24056859784066006
uncoupled_cpl    extractionPatterns(shape,   _ resulting in
0.10498686834779715)   0.10498686834779715
uncoupled_cpl    extractionPatterns(shape,   same number of _
0.24862985862948722)   0.24862985862948722
uncoupled_cpl    extractionPatterns(shape,   same set of _
0.25321103690244817)   0.25321103690244817
uncoupled_cpl    extractionPatterns(shape,   scale of _ 0.2756374124397517)
      0.2756374124397517
uncoupled_cpl    extractionPatterns(shape,   sequence of _
0.1735624156339133)    0.1735624156339133
uncoupled_cpl    extractionPatterns(shape,   sequences of _
0.22916362750358432)   0.22916362750358432
uncoupled_cpl    extractionPatterns(shape,   series of _
0.4886362164516096)    0.4886362164516096
uncoupled_cpl    extractionPatterns(shape,   speed of _ 0.1707298152188494)
      0.1707298152188494
uncoupled_cpl    extractionPatterns(shape,   standard of _
0.2568083993376723)    0.2568083993376723
uncoupled_cpl    extractionPatterns(shape,   string of _
0.2574715629815112)    0.2574715629815112
uncoupled_cpl    extractionPatterns(shape,   strings of _
0.2299082414219841)    0.2299082414219841
uncoupled_cpl    extractionPatterns(shape,   table of _ 0.5388187691263702)
      0.5388187691263702
uncoupled_cpl    extractionPatterns(shape,   tables of _
0.3680737328048583)    0.3680737328048583
uncoupled_cpl    extractionPatterns(shape,   _ taking place
0.2190912432696089)    0.2190912432696089
uncoupled_cpl    extractionPatterns(shape,   _ were caused by
0.21309525642070573)   0.21309525642070573
uncoupled_cpl    extractionPatterns(sport,   activities for _
0.2588824969386388)    0.2588824969386388
uncoupled_cpl    extractionPatterns(sport,   activities include _
0.15346879845663272)   0.15346879845663272
uncoupled_cpl    extractionPatterns(sport,   activities including _
0.12543770727630496)   0.12543770727630496
uncoupled_cpl    extractionPatterns(sport,   activities , including _
0.13177715536126694)   0.13177715536126694
uncoupled_cpl    extractionPatterns(sport,   activities like _
0.12308870557512529)   0.12308870557512529
uncoupled_cpl    extractionPatterns(sport,   activities such as _
0.11925681523847304)   0.11925681523847304
uncoupled_cpl    extractionPatterns(sport,   bodies of _
0.33408627866762236)   0.33408627866762236
uncoupled_cpl    extractionPatterns(sport,   certain amount of _
0.1715058332217087)    0.1715058332217087
uncoupled_cpl    extractionPatterns(sport,   certain types of _
0.1721241947896558)    0.1721241947896558
uncoupled_cpl    extractionPatterns(sport,   charge of _
0.13913452612950722)   0.13913452612950722
uncoupled_cpl    extractionPatterns(sport,   clothing for _
0.11842422197071296)   0.11842422197071296
uncoupled_cpl    extractionPatterns(sport,   _ conducted in
0.1704897672821608)    0.1704897672821608
uncoupled_cpl    extractionPatterns(sport,   difference between _
0.2009725394315341)    0.2009725394315341
uncoupled_cpl    extractionPatterns(sport,   different kinds of _
0.16307664075474787)   0.16307664075474787
uncoupled_cpl    extractionPatterns(sport,   different styles of _
0.17702098395803234)   0.17702098395803234
uncoupled_cpl    extractionPatterns(sport,   directory of _
0.16510741778868682)   0.16510741778868682
uncoupled_cpl    extractionPatterns(sport,   fair amount of _
0.20526673484802255)   0.20526673484802255
uncoupled_cpl    extractionPatterns(sport, full day of _
0.12562751254633067)   0.12562751254633067
uncoupled_cpl    extractionPatterns(sport, genre of _ 0.6277740313228418)
      0.6277740313228418
uncoupled_cpl    extractionPatterns(sport, good deal of _
0.17352284791404024)   0.17352284791404024
uncoupled_cpl    extractionPatterns(sport, great game of _
0.14483487189801056)   0.14483487189801056
uncoupled_cpl    extractionPatterns(sport, hobbies include _
0.1150729504495136)    0.1150729504495136
uncoupled_cpl    extractionPatterns(sport, home from _
0.21429322319166216)   0.21429322319166216
uncoupled_cpl    extractionPatterns(sport, large number of _
0.27613152138791575)   0.27613152138791575
uncoupled_cpl    extractionPatterns(sport, level of _
0.20873265677917077)   0.20873265677917077
uncoupled_cpl    extractionPatterns(sport, lot of _ 0.20114806506424873)
      0.20114806506424873
uncoupled_cpl    extractionPatterns(sport, lot of good _
0.20127623720018592)   0.20127623720018592
uncoupled_cpl    extractionPatterns(sport, lot of great _
0.36588690355993964)   0.36588690355993964
uncoupled_cpl    extractionPatterns(sport, lots of _ 0.1647388147772323)
      0.1647388147772323
uncoupled_cpl    extractionPatterns(sport, lots of great _
0.15718402913210316)   0.15718402913210316
uncoupled_cpl    extractionPatterns(sport, millions of _
0.24937936194056404)   0.24937936194056404
uncoupled_cpl    extractionPatterns(sport, minority of _
0.28782834524316975)   0.28782834524316975
uncoupled_cpl    extractionPatterns(sport, moment in _
0.25386110302970816)   0.25386110302970816
uncoupled_cpl    extractionPatterns(sport, opportunities for _
0.16655461588769763)   0.16655461588769763
uncoupled_cpl    extractionPatterns(sport, passion for _
0.17414987498997248)   0.17414987498997248
uncoupled_cpl    extractionPatterns(sport, _ presented on
0.3011418086785429)    0.3011418086785429
uncoupled_cpl    extractionPatterns(sport, programme of _
0.1544567742664873)    0.1544567742664873
uncoupled_cpl    extractionPatterns(sport, program of _
0.2197492841472689)    0.2197492841472689
uncoupled_cpl    extractionPatterns(sport, round of _
0.15668826825066512)   0.15668826825066512
uncoupled_cpl    extractionPatterns(sport, schedule of _
0.2922700720188571)    0.2922700720188571
uncoupled_cpl    extractionPatterns(sportsEquipment, _ are allowed on
0.01147180492173118)   0.01147180492173118
uncoupled_cpl    extractionPatterns(sportsEquipment, _ autographed by
0.011715892799285515) 0.011715892799285515
uncoupled_cpl    extractionPatterns(sportsEquipment, awful lot of _
0.39302266382883266)   0.39302266382883266
uncoupled_cpl    extractionPatterns(sportsEquipment, bucket of _
0.0234544274048056)    0.0234544274048056
uncoupled_cpl    extractionPatterns(sportsEquipment,   _ collected by
0.3890711683658827)    0.3890711683658827
uncoupled_cpl    extractionPatterns(sportsEquipment,   _ collected from
0.41282190573674965)   0.41282190573674965
uncoupled_cpl    extractionPatterns(sportsEquipment,   considerable amount
of _ 0.43661651901511916)    0.43661651901511916
uncoupled_cpl    extractionPatterns(sportsEquipment,   dissemination of _
0.4273739020847246)    0.4273739020847246
uncoupled_cpl    extractionPatterns(sportsEquipment,   enormous amount of _
0.4172386160899679)    0.4172386160899679
uncoupled_cpl    extractionPatterns(sportsEquipment,   exchange of _
0.45724725271818206)   0.45724725271818206
uncoupled_cpl    extractionPatterns(sportsEquipment,   _ flying around
0.010983644239674354) 0.010983644239674354
uncoupled_cpl    extractionPatterns(sportsEquipment,   game of _
0.023967153265000124) 0.023967153265000124
uncoupled_cpl    extractionPatterns(sportsEquipment,   _ gathered from
0.4224564138465066)    0.4224564138465066
uncoupled_cpl    extractionPatterns(sportsEquipment,   good source of _
0.44780294421294753)   0.44780294421294753
uncoupled_cpl    extractionPatterns(sportsEquipment,   great amount of _
0.404301658577609)     0.404301658577609
uncoupled_cpl    extractionPatterns(sportsEquipment,   heaps of _
0.3750169702633722)    0.3750169702633722
uncoupled_cpl    extractionPatterns(sportsEquipment,   huge amount of _
0.422874429914674)     0.422874429914674
uncoupled_cpl    extractionPatterns(sportsEquipment,   huge amounts of _
0.4623727014607621)    0.4623727014607621
uncoupled_cpl    extractionPatterns(sportsEquipment,   important source of
_ 0.421367881109822)   0.421367881109822
uncoupled_cpl    extractionPatterns(sportsEquipment,   incredible amount of
_ 0.39134138207137953) 0.39134138207137953
uncoupled_cpl    extractionPatterns(sportsEquipment,   items of _
0.3823377112742131)    0.3823377112742131
uncoupled_cpl    extractionPatterns(sportsEquipment,   kids on _
0.013639776668199799) 0.013639776668199799
uncoupled_cpl    extractionPatterns(sportsEquipment,   large amount of _
0.404175940311995)     0.404175940311995
uncoupled_cpl    extractionPatterns(sportsEquipment,   large amounts of _
0.40986026272457565)   0.40986026272457565
uncoupled_cpl    extractionPatterns(sportsEquipment,   large groups of _
0.3848271525192696)    0.3848271525192696
uncoupled_cpl    extractionPatterns(sportsEquipment,   level of _
0.011870653703179523) 0.011870653703179523
uncoupled_cpl    extractionPatterns(sportsEquipment,   limited amount of _
0.39960728565662895)   0.39960728565662895
uncoupled_cpl    extractionPatterns(sportsEquipment,   lot of other _
0.422235526909034)     0.422235526909034
uncoupled_cpl    extractionPatterns(sportsEquipment,   main source of _
0.3965080244114168)    0.3965080244114168
uncoupled_cpl    extractionPatterns(sportsEquipment,   massive amounts of _
0.4195384921807715)    0.4195384921807715
uncoupled_cpl    extractionPatterns(sportsEquipment,   maximum amount of _
0.40806981664061703)   0.40806981664061703
uncoupled_cpl    extractionPatterns(sportsEquipment, millions of _
0.40998692911470697)   0.40998692911470697
uncoupled_cpl    extractionPatterns(sportsEquipment, minimum amount of _
0.4275508715103311)    0.4275508715103311
uncoupled_cpl    extractionPatterns(sportsEquipment, _ obtained through
0.3754469860632852)    0.3754469860632852
uncoupled_cpl    extractionPatterns(sportsEquipment, other sources of _
0.47494607866082983)   0.47494607866082983
uncoupled_cpl    extractionPatterns(sportsEquipment, people riding _
0.01684158758445813)   0.01684158758445813
uncoupled_cpl    extractionPatterns(sportsEquipment, primary source of _
0.4293722588811212)    0.4293722588811212
uncoupled_cpl    extractionPatterns(sportsEquipment, _ provided on
0.45445971734345797)   0.45445971734345797
uncoupled_cpl    extractionPatterns(sportsEquipment, same amount of _
0.430871231646252)     0.430871231646252
uncoupled_cpl    extractionPatterns(sportsEquipment, selection of _
0.013507975367628142) 0.013507975367628142
uncoupled_cpl    extractionPatterns(sportsEquipment, significant amount
of _ 0.3806027875703137)     0.3806027875703137
uncoupled_cpl    extractionPatterns(sportsEquipment, significant amounts
of _ 0.3702762241937875)     0.3702762241937875
uncoupled_cpl    extractionPatterns(sportsEquipment, site provides _
0.43611513473520025)   0.43611513473520025
uncoupled_cpl    extractionPatterns(sportsEquipment, substantial amount
of _ 0.4239443849178447)     0.4239443849178447
uncoupled_cpl    extractionPatterns(sportsEquipment, ton of _
0.4112800128462849)    0.4112800128462849
uncoupled_cpl    extractionPatterns(sportsEquipment, variety of _
0.013098651408373683) 0.013098651408373683
uncoupled_cpl    extractionPatterns(sportsEquipment, vast amount of _
0.4514588729887191)    0.4514588729887191
uncoupled_cpl    extractionPatterns(sportsEquipment, vast amounts of _
0.5732685490902907)    0.5732685490902907
uncoupled_cpl    extractionPatterns(sportsEquipment, waste of _
0.6762509797662124)    0.6762509797662124
uncoupled_cpl    extractionPatterns(sportsEquipment, wealth of _
0.4347596192752484)    0.4347596192752484
uncoupled_cpl    extractionPatterns(sportsLeague, _ based company
0.21578278549156146)   0.21578278549156146
uncoupled_cpl    extractionPatterns(sportsLeague, border into _
0.2329004895777045)    0.2329004895777045
uncoupled_cpl    extractionPatterns(sportsLeague, coach in _
0.03207600615979079)   0.03207600615979079
uncoupled_cpl    extractionPatterns(sportsLeague, colleges in _
0.21045298499463078)   0.21045298499463078
uncoupled_cpl    extractionPatterns(sportsLeague, company located in _
0.21102957277397816)   0.21102957277397816
uncoupled_cpl    extractionPatterns(sportsLeague, counties in _
0.28506473048317016)   0.28506473048317016
uncoupled_cpl    extractionPatterns(sportsLeague, counties of _
0.2206110682567562)    0.2206110682567562
uncoupled_cpl    extractionPatterns(sportsLeague, debut in _
0.051033704091163375) 0.051033704091163375
uncoupled_cpl    extractionPatterns(sportsLeague,   defenses in _
0.03430658365275427)   0.03430658365275427
uncoupled_cpl    extractionPatterns(sportsLeague,   duty in _
0.24634137543554374)   0.24634137543554374
uncoupled_cpl    extractionPatterns(sportsLeague,   election in _
0.23713966680720178)   0.23713966680720178
uncoupled_cpl    extractionPatterns(sportsLeague,   elections in _
0.23577861175930562)   0.23577861175930562
uncoupled_cpl    extractionPatterns(sportsLeague,   fall in _
0.21911731667889509)   0.21911731667889509
uncoupled_cpl    extractionPatterns(sportsLeague,   firm based in _
0.2458258304759131)    0.2458258304759131
uncoupled_cpl    extractionPatterns(sportsLeague,   fish in _
0.2284264505256161)    0.2284264505256161
uncoupled_cpl    extractionPatterns(sportsLeague,   governor of _
0.2576425808709868)    0.2576425808709868
uncoupled_cpl    extractionPatterns(sportsLeague,   honeymoon in _
0.21445872143406816)   0.21445872143406816
uncoupled_cpl    extractionPatterns(sportsLeague,   last day in _
0.20851485359853622)   0.20851485359853622
uncoupled_cpl    extractionPatterns(sportsLeague,   last week in _
0.23968253550502983)   0.23968253550502983
uncoupled_cpl    extractionPatterns(sportsLeague,   launch in _
0.26510985280675736)   0.26510985280675736
uncoupled_cpl    extractionPatterns(sportsLeague,   majority in _
0.2120430412823815)    0.2120430412823815
uncoupled_cpl    extractionPatterns(sportsLeague,   meeting in _
0.26680639392278505)   0.26680639392278505
uncoupled_cpl    extractionPatterns(sportsLeague,   month of _
0.4439719030372068)    0.4439719030372068
uncoupled_cpl    extractionPatterns(sportsLeague,   only team in _
0.04379564043504413)   0.04379564043504413
uncoupled_cpl    extractionPatterns(sportsLeague,   organization based in _
0.2535442284413982)    0.2535442284413982
uncoupled_cpl    extractionPatterns(sportsLeague,   other team in _
0.046715325452262806) 0.046715325452262806
uncoupled_cpl    extractionPatterns(sportsLeague,   place in _
0.0452334690701499)    0.0452334690701499
uncoupled_cpl    extractionPatterns(sportsLeague,   point guard in _
0.03357662965498158)   0.03357662965498158
uncoupled_cpl    extractionPatterns(sportsLeague,   politicians in _
0.23787665403764585)   0.23787665403764585
uncoupled_cpl    extractionPatterns(sportsLeague,   public schools in _
0.2109418027291393)    0.2109418027291393
uncoupled_cpl    extractionPatterns(sportsLeague,   quarterback in _
0.057879385156692935) 0.057879385156692935
uncoupled_cpl    extractionPatterns(sportsLeague,   quarterbacks in _
0.04233576677371795)   0.04233576677371795
uncoupled_cpl    extractionPatterns(sportsLeague,   radio station in _
0.21615576433663644)   0.21615576433663644
uncoupled_cpl    extractionPatterns(sportsLeague,   release in _
0.25707381948008945)   0.25707381948008945
uncoupled_cpl    extractionPatterns(sportsLeague,   representatives in _
0.21318882577524503)   0.21318882577524503
uncoupled_cpl     extractionPatterns(sportsLeague, small town in _
0.2419737572067632)     0.2419737572067632
uncoupled_cpl     extractionPatterns(sportsLeague, sports including _
0.03745136953479925)    0.03745136953479925
uncoupled_cpl     extractionPatterns(sportsLeague, states like _
0.5013609390811073)     0.5013609390811073
uncoupled_cpl     extractionPatterns(sportsLeague, surgery in _
0.2107878714049162)     0.2107878714049162
uncoupled_cpl     extractionPatterns(sportsLeague, tenure in _
0.22963779860864708)    0.22963779860864708
uncoupled_cpl     extractionPatterns(sportsLeague, theaters in _
0.21121789513217756)    0.21121789513217756
uncoupled_cpl     extractionPatterns(sportsLeague, tour in _
0.2624735405331153)     0.2624735405331153
uncoupled_cpl     extractionPatterns(sportsLeague, vacation in _
0.21651098365692834)    0.21651098365692834
uncoupled_cpl     extractionPatterns(sportsLeague, vacations in _
0.2199931212860908)     0.2199931212860908
uncoupled_cpl     extractionPatterns(sportsLeague, visit in _
0.22294749136034758)    0.22294749136034758
uncoupled_cpl     extractionPatterns(sportsLeague, voters in _
0.21546926530586655)    0.21546926530586655
uncoupled_cpl     extractionPatterns(sportsLeague, voters of _
0.21292591301477426)    0.21292591301477426
uncoupled_cpl     extractionPatterns(sportsLeague, weekend in _
0.28797459918791) 0.28797459918791
uncoupled_cpl     extractionPatterns(sportsLeague, weekend of _
0.2328003638957505)     0.2328003638957505
uncoupled_cpl     extractionPatterns(sportsLeague, week of _
0.24725576308867492)    0.24725576308867492
uncoupled_cpl     extractionPatterns(sport, small number of _
0.3151536441077725)     0.3151536441077725
uncoupled_cpl     extractionPatterns(sport, sources of _
0.17175710164515273)    0.17175710164515273
uncoupled_cpl     extractionPatterns(sport, sport of _ 0.1270363516520277)
      0.1270363516520277
uncoupled_cpl     extractionPatterns(sport, sports including _
0.24121394517105058)    0.24121394517105058
uncoupled_cpl     extractionPatterns(sportsTeam, airports in _
0.37798377785914605)    0.37798377785914605
uncoupled_cpl     extractionPatterns(sportsTeam, _ are D-D ATS
0.14583331318683562)    0.14583331318683562
uncoupled_cpl     extractionPatterns(sportsTeam, _ are the only team
0.165024554665341)      0.165024554665341
uncoupled_cpl     extractionPatterns(sportsTeam, border between _
0.31160964883888276)    0.31160964883888276
uncoupled_cpl     extractionPatterns(sportsTeam, centres in _
0.3894830234949591)     0.3894830234949591
uncoupled_cpl     extractionPatterns(sportsTeam, charge of _
0.2744807906220983)     0.2744807906220983
uncoupled_cpl     extractionPatterns(sportsTeam, coast of _
0.3619942323565521)     0.3619942323565521
uncoupled_cpl     extractionPatterns(sportsTeam, colleges in _
0.3934296528663911)     0.3934296528663911
uncoupled_cpl    extractionPatterns(sportsTeam,   counties in _
0.4520343981245749)    0.4520343981245749
uncoupled_cpl    extractionPatterns(sportsTeam,   couple from _
0.35702552541377874)   0.35702552541377874
uncoupled_cpl    extractionPatterns(sportsTeam,   DD-DD victory over _
0.3005181883149842)    0.3005181883149842
uncoupled_cpl    extractionPatterns(sportsTeam,   D-D victory over _
0.37407947654963625)   0.37407947654963625
uncoupled_cpl    extractionPatterns(sportsTeam,   debut against _
0.3224042777443108)    0.3224042777443108
uncoupled_cpl    extractionPatterns(sportsTeam,   difference between _
0.13119532968747216)   0.13119532968747216
uncoupled_cpl    extractionPatterns(sportsTeam,   factories in _
0.44287974578380274)   0.44287974578380274
uncoupled_cpl    extractionPatterns(sportsTeam,   game against _
0.3145853048606338)    0.3145853048606338
uncoupled_cpl    extractionPatterns(sportsTeam,   goal against _
0.3162089657272867)    0.3162089657272867
uncoupled_cpl    extractionPatterns(sportsTeam,   governor of _
0.41482563652177606)   0.41482563652177606
uncoupled_cpl    extractionPatterns(sportsTeam,   higher education in _
0.41615645320070627)   0.41615645320070627
uncoupled_cpl    extractionPatterns(sportsTeam,   linebacker for _
0.1341107939683234)    0.1341107939683234
uncoupled_cpl    extractionPatterns(sportsTeam,   native of _
0.3400233456679198)    0.3400233456679198
uncoupled_cpl    extractionPatterns(sportsTeam,   newspapers in _
0.3761233992274152)    0.3761233992274152
uncoupled_cpl    extractionPatterns(sportsTeam,   night against _
0.08374381179682683)   0.08374381179682683
uncoupled_cpl    extractionPatterns(sportsTeam,   opener against _
0.22263803226394432)   0.22263803226394432
uncoupled_cpl    extractionPatterns(sportsTeam,   other cities in _
0.46861066213419267)   0.46861066213419267
uncoupled_cpl    extractionPatterns(sportsTeam,   pitcher for _
0.10795454716796885)   0.10795454716796885
uncoupled_cpl    extractionPatterns(sportsTeam,   place in _
1.3071222956440236)    1.3071222956440236
uncoupled_cpl    extractionPatterns(sportsTeam,   politicians in _
0.3739773667911544)    0.3739773667911544
uncoupled_cpl    extractionPatterns(sportsTeam,   province of _
0.3777959665965147)    0.3777959665965147
uncoupled_cpl    extractionPatterns(sportsTeam,   provinces of _
0.37137126591718705)   0.37137126591718705
uncoupled_cpl    extractionPatterns(sportsTeam,   quarterback for _
0.0946969960490676)    0.0946969960490676
uncoupled_cpl    extractionPatterns(sportsTeam,   quarterback of _
0.12459011620157957)   0.12459011620157957
uncoupled_cpl    extractionPatterns(sportsTeam,   regime in _
0.3850134539423964)    0.3850134539423964
uncoupled_cpl    extractionPatterns(sportsTeam,   regions such as _
0.39545748278230275)   0.39545748278230275
uncoupled_cpl    extractionPatterns(sportsTeam,   relatives in _
0.3702258700514564)    0.3702258700514564
uncoupled_cpl    extractionPatterns(sportsTeam, rural areas of _
0.3834538516868876)    0.3834538516868876
uncoupled_cpl    extractionPatterns(sportsTeam, season against _
0.372000157991778)     0.372000157991778
uncoupled_cpl    extractionPatterns(sportsTeam, series against _
0.23419433894351774)   0.23419433894351774
uncoupled_cpl    extractionPatterns(sportsTeam, small town in _
0.4469399649446634)    0.4469399649446634
uncoupled_cpl    extractionPatterns(sportsTeam, start against _
0.25074193905369985)   0.25074193905369985
uncoupled_cpl    extractionPatterns(sportsTeam, states like _
0.761570142441873)     0.761570142441873
uncoupled_cpl    extractionPatterns(sportsTeam, team like _
0.32644852488987525)   0.32644852488987525
uncoupled_cpl    extractionPatterns(sportsTeam, trade between _
0.3743777367333414)    0.3743777367333414
uncoupled_cpl    extractionPatterns(sportsTeam, trade with _
0.32836089035002736)   0.32836089035002736
uncoupled_cpl    extractionPatterns(sportsTeam, travels in _
0.37734552475035055)   0.37734552475035055
uncoupled_cpl    extractionPatterns(sportsTeam, Under is D-D in _
0.15160345739474218)   0.15160345739474218
uncoupled_cpl    extractionPatterns(sportsTeam, version of _
0.12499994270999265)   0.12499994270999265
uncoupled_cpl    extractionPatterns(sportsTeam, week against _
0.32555039694311805)   0.32555039694311805
uncoupled_cpl    extractionPatterns(sportsTeam, wilds of _
0.3954614373769035)    0.3954614373769035
uncoupled_cpl    extractionPatterns(sportsTeam, win against _
0.3759323770643451)    0.3759323770643451
uncoupled_cpl    extractionPatterns(sport, _ stored on
0.3479219868698962)    0.3479219868698962
uncoupled_cpl    extractionPatterns(sport, time playing _
0.10170559120552868)   0.10170559120552868
uncoupled_cpl    extractionPatterns(sport, ton of _ 0.1643496678279339)
      0.1643496678279339
uncoupled_cpl    extractionPatterns(sport, trails for _
0.1407733681233393)    0.1407733681233393
uncoupled_cpl    extractionPatterns(sportUsesEquipment, arg1 acquire the
arg2 0.0724812769093403)     0.0724812769093403
uncoupled_cpl    extractionPatterns(sportUsesEquipment, arg1 and
activities for arg2 0.024564990502227706)      0.024564990502227706
uncoupled_cpl    extractionPatterns(sportUsesEquipment, arg1 and baseball
arg2 7.262167746759474E-4)   7.262167746759474E-4
uncoupled_cpl    extractionPatterns(sportUsesEquipment, arg1 and
basketball arg2 0.005241702126995732)    0.005241702126995732
uncoupled_cpl    extractionPatterns(sportUsesEquipment, arg1 and diving
arg2 0.02633042932662846)    0.02633042932662846
uncoupled_cpl    extractionPatterns(sportUsesEquipment, arg1 and football
arg2 0.0038806679038261255) 0.0038806679038261255
uncoupled_cpl    extractionPatterns(sportUsesEquipment, arg1 and hockey
arg2 0.0074468064717674665) 0.0074468064717674665
uncoupled_cpl    extractionPatterns(sportUsesEquipment, arg1 and lacrosse
arg2 0.006205675515087872)   0.006205675515087872
uncoupled_cpl    extractionPatterns(sportUsesEquipment, arg1    and
racquetball arg2 0.021835547891667955) 0.021835547891667955
uncoupled_cpl    extractionPatterns(sportUsesEquipment, arg1    and rugby
arg2 0.006737589897357793)   0.006737589897357793
uncoupled_cpl    extractionPatterns(sportUsesEquipment, arg1    and soccer
arg2 0.040317768560180885)   0.040317768560180885
uncoupled_cpl    extractionPatterns(sportUsesEquipment, arg1    and softball
arg2 0.056206548922575685)   0.056206548922575685
uncoupled_cpl    extractionPatterns(sportUsesEquipment, arg1    and squash
arg2 0.04435348472644351)    0.04435348472644351
uncoupled_cpl    extractionPatterns(sportUsesEquipment, arg1    and tennis
arg2 0.029754973038569957)   0.029754973038569957
uncoupled_cpl    extractionPatterns(sportUsesEquipment, arg1    and
volleyball arg2 0.03197618090706966)     0.03197618090706966
uncoupled_cpl    extractionPatterns(sportUsesEquipment, arg1    are given
the arg2 0.05716113897696164)      0.05716113897696164
uncoupled_cpl    extractionPatterns(sportUsesEquipment, arg1    ball and
arg2 0.002297970354969925)   0.002297970354969925
uncoupled_cpl    extractionPatterns(sportUsesEquipment, arg1    clubs and
arg2 3.363040151829994E-4)   3.363040151829994E-4
uncoupled_cpl    extractionPatterns(sportUsesEquipment, arg1    develop the
arg2 0.09200503271549329)    0.09200503271549329
uncoupled_cpl    extractionPatterns(sportUsesEquipment, arg1    hitting a
arg2 0.001531980402266196)   0.001531980402266196
uncoupled_cpl    extractionPatterns(sportUsesEquipment, arg1    is to get
the arg2 2.080949691527228E-4)     2.080949691527228E-4
uncoupled_cpl    extractionPatterns(sportUsesEquipment, arg1    off a arg2
9.174734580535707E-5) 9.174734580535707E-5
uncoupled_cpl    extractionPatterns(sportUsesEquipment, arg1    or baseball
arg2 0.01115537315323534)    0.01115537315323534
uncoupled_cpl    extractionPatterns(sportUsesEquipment, arg1    or
basketball arg2 0.011524823554746558)    0.011524823554746558
uncoupled_cpl    extractionPatterns(sportUsesEquipment, arg1    or football
arg2 0.014697115925360783)   0.014697115925360783
uncoupled_cpl    extractionPatterns(sportUsesEquipment, arg1    stored on
the arg2 0.08915195549754339)      0.08915195549754339
uncoupled_cpl    extractionPatterns(sportUsesEquipment, arg1    stored on
your arg2 0.018284876163077148)    0.018284876163077148
uncoupled_cpl    extractionPatterns(sportUsesEquipment, arg1    the unique
arg2 0.08552786925096076)    0.08552786925096076
uncoupled_cpl    extractionPatterns(sportUsesEquipment, arg1    were given
the arg2 0.08060367781915392)      0.08060367781915392
uncoupled_cpl    extractionPatterns(sportUsesEquipment, arg1    will be
given the arg2 0.1165354220802377) 0.1165354220802377
uncoupled_cpl    extractionPatterns(sportUsesEquipment, arg1    will have
the arg2 0.023346668072897044)     0.023346668072897044
uncoupled_cpl    extractionPatterns(sportUsesEquipment, arg1    with a real
arg2 2.080949691527228E-4)   2.080949691527228E-4
uncoupled_cpl    extractionPatterns(sportUsesEquipment, arg1    with
practical arg2 0.01633944754659098)      0.01633944754659098
uncoupled_cpl    extractionPatterns(sportUsesEquipment, arg1    with the
knowledge and arg2 0.14748113642865462) 0.14748113642865462
uncoupled_cpl    extractionPatterns(sportUsesEquipment, arg1    with the
necessary arg2 0.08255405401579355)      0.08255405401579355
uncoupled_cpl    extractionPatterns(sportUsesEquipment, arg2 and play
arg1 1.437866434233377E-4)   1.437866434233377E-4
uncoupled_cpl    extractionPatterns(sportUsesEquipment, arg2 and the game
of arg1 0.001531980402266196)      0.001531980402266196
uncoupled_cpl    extractionPatterns(sportUsesEquipment, arg2 dress up
arg1 0.01650286956774636)    0.01650286956774636
uncoupled_cpl    extractionPatterns(sportUsesEquipment, arg2 generated
arg1 0.018156820567849435)   0.018156820567849435
uncoupled_cpl    extractionPatterns(sportUsesEquipment, arg2 in college
arg1 0.005558866824692308)   0.005558866824692308
uncoupled_cpl    extractionPatterns(sportUsesEquipment, arg2 in special
arg1 0.017523770595351793)   0.017523770595351793
uncoupled_cpl    extractionPatterns(sportUsesEquipment, arg2 playing
video arg1 0.06491133611708631)    0.06491133611708631
uncoupled_cpl    extractionPatterns(sportUsesEquipment, arg2 sports such
as arg1 0.007171316707623363)      0.007171316707623363
uncoupled_cpl    extractionPatterns(sportUsesEquipment, arg2 strategy
arg1 0.014611388793540923)   0.014611388793540923
uncoupled_cpl    extractionPatterns(sportUsesEquipment, arg2 to graduate
arg1 0.02080841097944963)    0.02080841097944963
uncoupled_cpl    extractionPatterns(sportUsesEquipment, arg2 to meet new
arg1 0.10797128141965087)    0.10797128141965087
uncoupled_cpl    extractionPatterns(sportUsesEquipment, arg2 to meet
other arg1 0.09245603913746488)    0.09245603913746488
uncoupled_cpl    extractionPatterns(sportUsesEquipment, arg2 to play
video arg1 0.007092197804100526) 0.007092197804100526
uncoupled_cpl    extractionPatterns(sportUsesEquipment, arg2 when playing
arg1 0.0011476659588938044) 0.0011476659588938044
uncoupled_cpl    extractionPatterns(sportUsesEquipment, arg2 you play the
arg1 0.015176455990249242)   0.015176455990249242
uncoupled_cpl    extractionPatterns(sportUsesStadium, arg1 game at arg2
6.148802651041797E-4) 6.148802651041797E-4
uncoupled_cpl    extractionPatterns(sport, world of professional _
0.12300318864532593)   0.12300318864532593
uncoupled_cpl    extractionPatterns(sport, years of _
0.27630802581724195)   0.27630802581724195
uncoupled_cpl    extractionPatterns(stadium, assistant at _
0.08682844531491757)   0.08682844531491757
uncoupled_cpl    extractionPatterns(stadium, Associated Students of _
0.29616308901139166)   0.29616308901139166
uncoupled_cpl    extractionPatterns(stadium, baseball at _
0.08192566231692265)   0.08192566231692265
uncoupled_cpl    extractionPatterns(stadium, baseball game at _
0.12345679773807343)   0.12345679773807343
uncoupled_cpl    extractionPatterns(stadium, baseball games at _
0.13944221401387738)   0.13944221401387738
uncoupled_cpl    extractionPatterns(stadium, BFA from _
0.2804294782690122)    0.2804294782690122
uncoupled_cpl    extractionPatterns(stadium, biology from _
0.5442018789261174)    0.5442018789261174
uncoupled_cpl    extractionPatterns(stadium, bleachers at _
0.11032033597975066)   0.11032033597975066
uncoupled_cpl    extractionPatterns(stadium, business administration from
_ 0.3292094844476236) 0.3292094844476236
uncoupled_cpl    extractionPatterns(stadium, candidate at _
0.17699938871532606)   0.17699938871532606
uncoupled_cpl    extractionPatterns(stadium, chemistry from _
0.3016912908966299)    0.3016912908966299
uncoupled_cpl    extractionPatterns(stadium, creative writing at _
0.2866469384876423)    0.2866469384876423
uncoupled_cpl    extractionPatterns(stadium, degree from _
0.21133156093311745)   0.21133156093311745
uncoupled_cpl    extractionPatterns(stadium, degrees from _
0.5478920502685263)    0.5478920502685263
uncoupled_cpl    extractionPatterns(stadium, department at _
0.08724761966921052)   0.08724761966921052
uncoupled_cpl    extractionPatterns(stadium, dissertation at _
0.49034747820695074)   0.49034747820695074
uncoupled_cpl    extractionPatterns(stadium, doctoral student at _
0.2949639893775691)    0.2949639893775691
uncoupled_cpl    extractionPatterns(stadium, emeritus at _
0.5502761697284978)    0.5502761697284978
uncoupled_cpl    extractionPatterns(stadium, engineering at _
0.48206418977081905)   0.48206418977081905
uncoupled_cpl    extractionPatterns(stadium, faculty at _
0.14889737034382552)   0.14889737034382552
uncoupled_cpl    extractionPatterns(stadium, final season at _
0.11155383271229806)   0.11155383271229806
uncoupled_cpl    extractionPatterns(stadium, first game at _
0.06653228236598983)   0.06653228236598983
uncoupled_cpl    extractionPatterns(stadium, first pitch at _
0.09465022728585501)   0.09465022728585501
uncoupled_cpl    extractionPatterns(stadium, friendly confines of _
0.08771932942109764)   0.08771932942109764
uncoupled_cpl    extractionPatterns(stadium, graduate studies at _
0.5674066707382434)    0.5674066707382434
uncoupled_cpl    extractionPatterns(stadium, graduate study at _
0.5513144185505231)    0.5513144185505231
uncoupled_cpl    extractionPatterns(stadium, graduate work at _
0.6101417327701856)    0.6101417327701856
uncoupled_cpl    extractionPatterns(stadium, history at _
0.14088744074469395)   0.14088744074469395
uncoupled_cpl    extractionPatterns(stadium, home games at _
0.08242751317856964)   0.08242751317856964
uncoupled_cpl    extractionPatterns(stadium, journalism at _
0.4644929028324892)    0.4644929028324892
uncoupled_cpl    extractionPatterns(stadium, journalism from _
0.3259634566709654)    0.3259634566709654
uncoupled_cpl    extractionPatterns(stadium, last game at _
0.09561754028212058)   0.09561754028212058
uncoupled_cpl    extractionPatterns(stadium, laude , from _
0.5519714251928096)    0.5519714251928096
uncoupled_cpl    extractionPatterns(stadiumLocatedInCity, arg1 and
downtown arg2 8.123477873147536E-4)      8.123477873147536E-4
uncoupled_cpl    extractionPatterns(stadiumLocatedInCity, arg1 and has
lived in arg2 3.981686096715932E-4)      3.981686096715932E-4
uncoupled_cpl    extractionPatterns(stadiumLocatedInCity, arg1 and the
City of arg2 3.981686096715932E-4) 3.981686096715932E-4
uncoupled_cpl    extractionPatterns(stadiumLocatedInCity, arg1 and the
Medical College of arg2 0.05533597718407843) 0.05533597718407843
uncoupled_cpl    extractionPatterns(stadiumLocatedInCity, arg1 and the
University of arg2 0.0012891489590336532)      0.0012891489590336532
uncoupled_cpl    extractionPatterns(stadiumLocatedInCity, arg1 and
University of arg2 6.643416551035345E-4)       6.643416551035345E-4
uncoupled_cpl    extractionPatterns(stadiumLocatedInCity, arg1 Car Rental
and tour arg2 0.005208335270978391)      0.005208335270978391
uncoupled_cpl    extractionPatterns(stadiumLocatedInCity, arg1 College at
the University of arg2 0.03950618646387427)    0.03950618646387427
uncoupled_cpl    extractionPatterns(stadiumLocatedInCity, arg1 College of
Law in arg2 0.05172412354543181) 0.05172412354543181
uncoupled_cpl    extractionPatterns(stadiumLocatedInCity, arg1
Conservatory of Music in arg2 0.005758155967861543) 0.005758155967861543
uncoupled_cpl    extractionPatterns(stadiumLocatedInCity, arg1 Here I am
in arg2 0.005208335270978391)      0.005208335270978391
uncoupled_cpl    extractionPatterns(stadiumLocatedInCity, arg1 in
downtown arg2 3.166495234426896E-4)      3.166495234426896E-4
uncoupled_cpl    extractionPatterns(stadiumLocatedInCity, arg1 is a
baseball stadium in arg2 0.009009010822633823)       0.009009010822633823
uncoupled_cpl    extractionPatterns(stadiumLocatedInCity, arg1 is located
in downtown arg2 0.0015290525251640062) 0.0015290525251640062
uncoupled_cpl    extractionPatterns(stadiumLocatedInCity, arg1 Law School
in arg2 0.005970151350836913)      0.005970151350836913
uncoupled_cpl    extractionPatterns(stadiumLocatedInCity, arg1 Medical
Centre in arg2 0.037931021213807974)     0.037931021213807974
uncoupled_cpl    extractionPatterns(stadiumLocatedInCity, arg1 Medical
School in arg2 0.036953238129053) 0.036953238129053
uncoupled_cpl    extractionPatterns(stadiumLocatedInCity, arg1 near
downtown arg2 0.002208724675347383)      0.002208724675347383
uncoupled_cpl    extractionPatterns(stadiumLocatedInCity, arg1 or the
University of arg2 0.054085129582400464)       0.054085129582400464
uncoupled_cpl    extractionPatterns(stadiumLocatedInCity, arg1 or
University of arg2 0.04491726666127019) 0.04491726666127019
uncoupled_cpl    extractionPatterns(stadiumLocatedInCity, arg1 River in
downtown arg2 0.03731342863868721) 0.03731342863868721
uncoupled_cpl    extractionPatterns(stadiumLocatedInCity, arg1 River
south of arg2 0.03780068707252352) 0.03780068707252352
uncoupled_cpl    extractionPatterns(stadiumLocatedInCity, arg1 suburbs of
arg2 0.040677954164821534)   0.040677954164821534
uncoupled_cpl    extractionPatterns(stadiumLocatedInCity, arg1 theater
events or arg2 0.035573119377556306)     0.035573119377556306
uncoupled_cpl    extractionPatterns(stadiumLocatedInCity, arg1 University
and the University of arg2 0.033311686420615494)     0.033311686420615494
uncoupled_cpl    extractionPatterns(stadiumLocatedInCity, arg1 University
and The University of arg2 0.05597013690720173)      0.05597013690720173
uncoupled_cpl    extractionPatterns(stadiumLocatedInCity, arg1 University
and University of arg2 0.05395229763257235)    0.05395229763257235
uncoupled_cpl    extractionPatterns(stadiumLocatedInCity, arg1 University
College of Law in arg2 0.041044764122529165) 0.041044764122529165
uncoupled_cpl    extractionPatterns(stadiumLocatedInCity, arg2 and
graduated from arg1 0.0011265493396310927)     0.0011265493396310927
uncoupled_cpl    extractionPatterns(stadiumLocatedInCity, arg2 concert at
arg1 7.757951923500287E-4)   7.757951923500287E-4
uncoupled_cpl    extractionPatterns(stadiumLocatedInCity, arg2 State
University and University of arg1 0.03952570734124715)
      0.03952570734124715
uncoupled_cpl    extractionPatterns(stadiumLocatedInCity, arg2 tonight at
arg1 9.216592313129914E-4)   9.216592313129914E-4
uncoupled_cpl    extractionPatterns(stadium, magna cum laude from _
0.5844400906923854)    0.5844400906923854
uncoupled_cpl    extractionPatterns(stadium, main campus of _
0.3145727217001043)    0.3145727217001043
uncoupled_cpl    extractionPatterns(stadium, MFA from _
0.38659795574498146)   0.38659795574498146
uncoupled_cpl    extractionPatterns(stadium, mound at _
0.09975670574080157)   0.09975670574080157
uncoupled_cpl    extractionPatterns(stadium, opener at _
0.05737704319463639)   0.05737704319463639
uncoupled_cpl    extractionPatterns(stadium, professor at _
0.49022882847442134)   0.49022882847442134
uncoupled_cpl    extractionPatterns(stadium, professorship at _
0.47309834242373966)   0.47309834242373966
uncoupled_cpl    extractionPatterns(stadium, program at _
0.08006055445086172)   0.08006055445086172
uncoupled_cpl    extractionPatterns(stadium, school at _
0.07994135305182547)   0.07994135305182547
uncoupled_cpl    extractionPatterns(stadium, seating chart of _
0.05956113588949787)   0.05956113588949787
uncoupled_cpl    extractionPatterns(stadium, sellout crowd at _
0.06583069895389038)   0.06583069895389038
uncoupled_cpl    extractionPatterns(stadium, sociology at _
0.30217136160422914)   0.30217136160422914
uncoupled_cpl    extractionPatterns(stadium, students at _
0.07053388826823212)   0.07053388826823212
uncoupled_cpl    extractionPatterns(stadium, undergraduates at _
0.4498383423418404)    0.4498383423418404
uncoupled_cpl    extractionPatterns(stadium, undergraduate student at _
0.4929216709583611)    0.4929216709583611
uncoupled_cpl    extractionPatterns(stadium, venues , including _
0.06025492302445428)   0.06025492302445428
uncoupled_cpl    extractionPatterns(stadium, Yankees at _
0.11155383271229806)   0.11155383271229806
uncoupled_cpl    extractionPatterns(stateHasCapital, arg1 Auto Loans and
arg2 0.10204085568128576)    0.10204085568128576
uncoupled_cpl    extractionPatterns(stateHasCapital, arg1 Book Festival
in arg2 0.14285716415076063) 0.14285716415076063
uncoupled_cpl    extractionPatterns(stateHasCapital, arg1 Botanical
Garden in arg2 0.15677964414454018)     0.15677964414454018
uncoupled_cpl    extractionPatterns(stateHasCapital, arg1 chocolate
fountain rentals in arg2 0.21518976763273095) 0.21518976763273095
uncoupled_cpl    extractionPatterns(stateHasCapital, arg1 chocolate
fountain rentals including arg2 0.23376615521086186)
      0.23376615521086186
uncoupled_cpl    extractionPatterns(stateHasCapital, arg1 College of Art
in arg2 0.10965633840475618) 0.10965633840475618
uncoupled_cpl    extractionPatterns(stateHasCapital, arg1 Convention
Center in downtown arg2 0.11627909340226542) 0.11627909340226542
uncoupled_cpl    extractionPatterns(stateHasCapital, arg1 Department of
Health in arg2 0.18181819858880538)      0.18181819858880538
uncoupled_cpl    extractionPatterns(stateHasCapital, arg1 Department of
Transportation in arg2 0.1318681129752343)     0.1318681129752343
uncoupled_cpl    extractionPatterns(stateHasCapital, arg1 General
Hospital in arg2 0.2699452819409317)     0.2699452819409317
uncoupled_cpl    extractionPatterns(stateHasCapital, arg1 Health Sciences
Center in arg2 0.2703702400113233) 0.2703702400113233
uncoupled_cpl    extractionPatterns(stateHasCapital, arg1 Historical
Center in arg2 0.11038963890958824)      0.11038963890958824
uncoupled_cpl    extractionPatterns(stateHasCapital, arg1 Historical
Society in arg2 0.04736844449168159)     0.04736844449168159
uncoupled_cpl    extractionPatterns(stateHasCapital, arg1 History Center
in arg2 0.16800005032925908) 0.16800005032925908
uncoupled_cpl    extractionPatterns(stateHasCapital, arg1 Hotels Planning
your trip to arg2 0.10714288087576275) 0.10714288087576275
uncoupled_cpl    extractionPatterns(stateHasCapital, arg1 including
cities such as arg2 0.23376615521086186)       0.23376615521086186
uncoupled_cpl    extractionPatterns(stateHasCapital, arg1 Institute of
Art in arg2 0.14285716415076063) 0.14285716415076063
uncoupled_cpl    extractionPatterns(stateHasCapital, arg1 International
Convention Center in arg2 0.14285716415076063)       0.14285716415076063
uncoupled_cpl    extractionPatterns(stateHasCapital, arg1 International
Marathon in arg2 0.12222227080946345)    0.12222227080946345
uncoupled_cpl    extractionPatterns(stateHasCapital, arg1 Museum of
History in arg2 0.21686743732780722)     0.21686743732780722
uncoupled_cpl    extractionPatterns(stateHasCapital, arg1 Pacific
University in arg2 0.10465113337506919) 0.10465113337506919
uncoupled_cpl    extractionPatterns(stateHasCapital, arg1 School for the
Blind in arg2 0.17475732180585396) 0.17475732180585396
uncoupled_cpl    extractionPatterns(stateHasCapital, arg1 singles go here
for arg2 0.19047620506734006)      0.19047620506734006
uncoupled_cpl    extractionPatterns(stateHasCapital, arg1 State Archives
in arg2 0.03787878826334358) 0.03787878826334358
uncoupled_cpl    extractionPatterns(stateHasCapital, arg1 State Capital
in arg2 0.10714288087576275) 0.10714288087576275
uncoupled_cpl    extractionPatterns(stateHasCapital, arg1 state capital
of arg2 0.18072296506526575) 0.18072296506526575
uncoupled_cpl    extractionPatterns(stateHasCapital, arg1 State Capitol
Building in arg2 0.10714288087576275)    0.10714288087576275
uncoupled_cpl    extractionPatterns(stateHasCapital, arg1 State Capitol
building in arg2 0.18181819858880538)    0.18181819858880538
uncoupled_cpl    extractionPatterns(stateHasCapital, arg1 State Capitol
in arg2 0.11038963890958824) 0.11038963890958824
uncoupled_cpl    extractionPatterns(stateHasCapital, arg1 state capitol
in arg2 0.1927710622760141) 0.1927710622760141
uncoupled_cpl    extractionPatterns(stateHasCapital, arg1 State
Fairgrounds in arg2 0.08441560509336099)       0.08441560509336099
uncoupled_cpl    extractionPatterns(stateHasCapital, arg1 State Fair in
arg2 0.04166665959783167)    0.04166665959783167
uncoupled_cpl    extractionPatterns(stateHasCapital, arg1 State
Historical Society in arg2 0.24050629864191383)      0.24050629864191383
uncoupled_cpl    extractionPatterns(stateHasCapital, arg1 Statehouse in
arg2 0.026515150297867527)   0.026515150297867527
uncoupled_cpl    extractionPatterns(stateHasCapital, arg1 State House in
arg2 0.2531644503577517)     0.2531644503577517
uncoupled_cpl    extractionPatterns(stateHasCapital, arg1 State Journal
in arg2 0.14285716415076063) 0.14285716415076063
uncoupled_cpl    extractionPatterns(stateHasCapital, arg1 State Library
and Archives in arg2 0.14285716415076063)      0.14285716415076063
uncoupled_cpl    extractionPatterns(stateHasCapital, arg1 State Library
in arg2 0.08441560509336099) 0.08441560509336099
uncoupled_cpl    extractionPatterns(stateHasCapital, arg1 State Museum in
arg2 0.03787878826334358)    0.03787878826334358
uncoupled_cpl    extractionPatterns(stateHasCapital, arg1 State
Penitentiary in arg2 0.07142859497252234)      0.07142859497252234
uncoupled_cpl    extractionPatterns(stateHasCapital, arg1 State Prison in
arg2 0.10112357451194921)    0.10112357451194921
uncoupled_cpl    extractionPatterns(stateHasCapital, arg1 State
University campus in arg2 0.11570250432843869)       0.11570250432843869
uncoupled_cpl    extractionPatterns(stateHasCapital, arg1 State
University in arg2 0.100456146494637)    0.100456146494637
uncoupled_cpl    extractionPatterns(stateHasCapital, arg1 The table below
shows arg2 0.1543624300025182)     0.1543624300025182
uncoupled_cpl    extractionPatterns(stateHasCapital, arg1 Wesleyan
University in arg2 0.11656444301329191) 0.11656444301329191
uncoupled_cpl    extractionPatterns(stateHasCapital, arg2 and the great
state of arg1 0.18181819858880538) 0.18181819858880538
uncoupled_cpl    extractionPatterns(stateHasCapital, arg2 and throughout
the state of arg1 0.11818181916637668) 0.11818181916637668
uncoupled_cpl    extractionPatterns(stateHasCapital, arg2 is the capitol
of arg1 0.16867474571734087) 0.16867474571734087
uncoupled_cpl    extractionPatterns(stateHasCapital, arg2 is the state
capital of arg1 0.20253167194475924)     0.20253167194475924
uncoupled_cpl    extractionPatterns(stateHasCapital, arg2 wedding
limousine service companies in arg1 0.12790697974426174)
      0.12790697974426174
uncoupled_cpl    extractionPatterns(stateLocatedInCountry, arg1 Africa
and Central arg2 0.30263161658178095)    0.30263161658178095
uncoupled_cpl    extractionPatterns(stateLocatedInCountry, arg1 America
and East arg2 0.27564099574940487) 0.27564099574940487
uncoupled_cpl    extractionPatterns(stateLocatedInCountry, arg1 America
and Eastern arg2 0.28282837897842855)    0.28282837897842855
uncoupled_cpl    extractionPatterns(stateLocatedInCountry, arg1 America
and parts of arg2 0.3269231993640343)    0.3269231993640343
uncoupled_cpl    extractionPatterns(stateLocatedInCountry, arg1 and
across arg2 0.008207835764108098) 0.008207835764108098
uncoupled_cpl    extractionPatterns(stateLocatedInCountry, arg1 and all
across arg2 0.011095695929045163) 0.011095695929045163
uncoupled_cpl    extractionPatterns(stateLocatedInCountry, arg1 and
Central and Eastern arg2 0.20901630828285622) 0.20901630828285622
uncoupled_cpl    extractionPatterns(stateLocatedInCountry, arg1 and
Eastern arg2 0.38008894038623525) 0.38008894038623525
uncoupled_cpl    extractionPatterns(stateLocatedInCountry, arg1 and
elsewhere in arg2 0.006267410550451035) 0.006267410550451035
uncoupled_cpl    extractionPatterns(stateLocatedInCountry, arg1 and in
Eastern arg2 0.2117116651694843) 0.2117116651694843
uncoupled_cpl    extractionPatterns(stateLocatedInCountry, arg1 and in
Southeast arg2 0.3294116811391065) 0.3294116811391065
uncoupled_cpl    extractionPatterns(stateLocatedInCountry, arg1 and in
Western arg2 0.2008196575079767) 0.2008196575079767
uncoupled_cpl    extractionPatterns(stateLocatedInCountry, arg1 and
mainland arg2 0.19019317743360242) 0.19019317743360242
uncoupled_cpl    extractionPatterns(stateLocatedInCountry, arg1 and other
countries in arg2 0.22294370128521016) 0.22294370128521016
uncoupled_cpl    extractionPatterns(stateLocatedInCountry, arg1 and
Southeast arg2 0.17871927505260826)      0.17871927505260826
uncoupled_cpl    extractionPatterns(stateLocatedInCountry, arg1 and South
East arg2 0.20209972808929763)     0.20209972808929763
uncoupled_cpl    extractionPatterns(stateLocatedInCountry, arg1 and South
Eastern arg2 0.2692308739524504) 0.2692308739524504
uncoupled_cpl    extractionPatterns(stateLocatedInCountry, arg1 and the
applicable laws of arg2 0.01687763341797915) 0.01687763341797915
uncoupled_cpl    extractionPatterns(stateLocatedInCountry, arg1 and the
federal laws of arg2 0.0956399174045678)       0.0956399174045678
uncoupled_cpl    extractionPatterns(stateLocatedInCountry, arg1 and the
fourth largest in arg2 0.01525658600464975)    0.01525658600464975
uncoupled_cpl    extractionPatterns(stateLocatedInCountry, arg1 and the
Government of arg2 0.012791568961000893)       0.012791568961000893
uncoupled_cpl    extractionPatterns(stateLocatedInCountry, arg1 and the
laws of arg2 0.05393260863739667) 0.05393260863739667
uncoupled_cpl    extractionPatterns(stateLocatedInCountry, arg1 and the
southeastern arg2 0.03190013618749439) 0.03190013618749439
uncoupled_cpl    extractionPatterns(stateLocatedInCountry, arg1 and the
southwestern arg2 0.27016132457201464) 0.27016132457201464
uncoupled_cpl    extractionPatterns(stateLocatedInCountry, arg1 and
throughout arg2 0.00641605394863621)     0.00641605394863621
uncoupled_cpl    extractionPatterns(stateLocatedInCountry, arg1 Asia and
Eastern arg2 0.28205138734986673) 0.28205138734986673
uncoupled_cpl    extractionPatterns(stateLocatedInCountry, arg1 East and
Central arg2 0.7635573824821978) 0.7635573824821978
uncoupled_cpl    extractionPatterns(stateLocatedInCountry, arg1 East and
South East arg2 0.2828948514576989)      0.2828948514576989
uncoupled_cpl    extractionPatterns(stateLocatedInCountry, arg1 Europe
and Central arg2 0.7356947412675053)     0.7356947412675053
uncoupled_cpl    extractionPatterns(stateLocatedInCountry, arg1 Europe
and Eastern arg2 0.27631576255027857)    0.27631576255027857
uncoupled_cpl    extractionPatterns(stateLocatedInCountry, arg1 Europe
and Western arg2 0.28823533416495645)    0.28823533416495645
uncoupled_cpl    extractionPatterns(stateLocatedInCountry, arg1 is the
largest country in arg2 0.21621629642474752) 0.21621629642474752
uncoupled_cpl    extractionPatterns(stateLocatedInCountry, arg1 is the
only country in arg2 0.30249122808433715)      0.30249122808433715
uncoupled_cpl    extractionPatterns(stateLocatedInCountry, arg1 is the
only state in arg2 0.2117116651694843) 0.2117116651694843
uncoupled_cpl    extractionPatterns(stateLocatedInCountry, arg1 or
anywhere else in arg2 0.014064702346121687)    0.014064702346121687
uncoupled_cpl    extractionPatterns(stateLocatedInCountry, arg1 or
Southeast arg2 0.27659581223896107)      0.27659581223896107
uncoupled_cpl    extractionPatterns(stateLocatedInCountry, arg1 or the
rest of arg2 0.011415525090666043) 0.011415525090666043
uncoupled_cpl     extractionPatterns(stateLocatedInCountry, arg1 secedes
from arg2 0.01248265747508937)     0.01248265747508937
uncoupled_cpl     extractionPatterns(stateLocatedInCountry, arg2 and North
and arg1 0.24519241728765237)      0.24519241728765237
uncoupled_cpl     extractionPatterns(stateLocatedInCountry, arg2 and the
Province of arg1 0.04922645976228737)     0.04922645976228737
uncoupled_cpl     extractionPatterns(stateLocatedInCountry, arg2 and the
State of arg1 0.03828649714187901) 0.03828649714187901
uncoupled_cpl     extractionPatterns(stateLocatedInCountry, arg2 Attorney
for the District of arg1 0.301282173463842)     0.301282173463842
uncoupled_cpl     extractionPatterns(stateLocatedInCountry, arg2
Congressman from arg1 0.26203216908265525)      0.26203216908265525
uncoupled_cpl     extractionPatterns(stateLocatedInCountry, arg2
Conservatory of Music in arg1 0.23032636444637977) 0.23032636444637977
uncoupled_cpl     extractionPatterns(stateLocatedInCountry, arg2 House of
Representatives from arg1 0.2727272683991621) 0.2727272683991621
uncoupled_cpl     extractionPatterns(stateLocatedInCountry, arg2
Representative from arg1 0.27096787704975556) 0.27096787704975556
uncoupled_cpl     extractionPatterns(stateLocatedInCountry, arg2 Senate
from arg1 0.1917808433077252)      0.1917808433077252
uncoupled_cpl     extractionPatterns(stateLocatedInCountry, arg2 Senator
from arg1 0.1781525630500687)      0.1781525630500687
uncoupled_cpl     extractionPatterns(stateLocatedInCountry, arg2 senator
from arg1 0.22169804070384122)     0.22169804070384122
uncoupled_cpl     extractionPatterns(stateLocatedInCountry, arg2 Senators
from arg1 0.2717390630926278)      0.2717390630926278
uncoupled_cpl     extractionPatterns(stateOrProvince, border between _
0.25471449207734) 0.25471449207734
uncoupled_cpl     extractionPatterns(stateOrProvince, border into _
0.3911187721635057)     0.3911187721635057
uncoupled_cpl     extractionPatterns(stateOrProvince, border with _
0.277826072381684)      0.277826072381684
uncoupled_cpl     extractionPatterns(stateOrProvince, camps in _
0.40829227530516593)    0.40829227530516593
uncoupled_cpl     extractionPatterns(stateOrProvince, capital city of _
0.3840179433546644)     0.3840179433546644
uncoupled_cpl     extractionPatterns(stateOrProvince, centres in _
0.39627613505138715)    0.39627613505138715
uncoupled_cpl     extractionPatterns(stateOrProvince, churches in _
0.36224844152464475)    0.36224844152464475
uncoupled_cpl     extractionPatterns(stateOrProvince, cities in _
0.440525916965787)      0.440525916965787
uncoupled_cpl     extractionPatterns(stateOrProvince, coast of _
0.2616294733589971)     0.2616294733589971
uncoupled_cpl     extractionPatterns(stateOrProvince, coasts of _
0.4561452452041483)     0.4561452452041483
uncoupled_cpl     extractionPatterns(stateOrProvince, colleges in _
0.2747636514847761)     0.2747636514847761
uncoupled_cpl     extractionPatterns(stateOrProvince, communities across _
0.3721582916599488)     0.3721582916599488
uncoupled_cpl     extractionPatterns(stateOrProvince, communities
throughout _ 0.3633975009140851) 0.3633975009140851
uncoupled_cpl     extractionPatterns(stateOrProvince, conquest of _
0.3924579033983161)     0.3924579033983161
uncoupled_cpl    extractionPatterns(stateOrProvince,   counties in _
0.22425555654503454)   0.22425555654503454
uncoupled_cpl    extractionPatterns(stateOrProvince,   counties of _
0.38364063919172486)   0.38364063919172486
uncoupled_cpl    extractionPatterns(stateOrProvince,   democracy in _
0.41907096745546085)   0.41907096745546085
uncoupled_cpl    extractionPatterns(stateOrProvince,   destinations in _
0.4384318041574845)    0.4384318041574845
uncoupled_cpl    extractionPatterns(stateOrProvince,   exile in _
0.4170938594069217)    0.4170938594069217
uncoupled_cpl    extractionPatterns(stateOrProvince,   farms in _
0.3559674446229657)    0.3559674446229657
uncoupled_cpl    extractionPatterns(stateOrProvince,   festivals in _
0.39276021235794567)   0.39276021235794567
uncoupled_cpl    extractionPatterns(stateOrProvince,   governor of _
0.2763867848272256)    0.2763867848272256
uncoupled_cpl    extractionPatterns(stateOrProvince,   higher education in
_ 0.411503810040591)   0.411503810040591
uncoupled_cpl    extractionPatterns(stateOrProvince,   holiday in _
0.39528272919830004)   0.39528272919830004
uncoupled_cpl    extractionPatterns(stateOrProvince,   holidays in _
0.3921872008480912)    0.3921872008480912
uncoupled_cpl    extractionPatterns(stateOrProvince,   home state of _
0.4885590180282463)    0.4885590180282463
uncoupled_cpl    extractionPatterns(stateOrProvince,   human rights in _
0.38180624923537165)   0.38180624923537165
uncoupled_cpl    extractionPatterns(stateOrProvince,   mountains of _
0.37525405589974825)   0.37525405589974825
uncoupled_cpl    extractionPatterns(stateOrProvince,   nation of _
0.26938788131516384)   0.26938788131516384
uncoupled_cpl    extractionPatterns(stateOrProvince,   native of _
0.2626526085430095)    0.2626526085430095
uncoupled_cpl    extractionPatterns(stateOrProvince,   newspapers in _
0.3759947870188207)    0.3759947870188207
uncoupled_cpl    extractionPatterns(stateOrProvince,   place in _
0.37855685728065225)   0.37855685728065225
uncoupled_cpl    extractionPatterns(stateOrProvince,   plains of _
0.37843119726475194)   0.37843119726475194
uncoupled_cpl    extractionPatterns(stateOrProvince,   popularity in _
0.354643223176366)     0.354643223176366
uncoupled_cpl    extractionPatterns(stateOrProvince,   poverty in _
0.3555440953066663)    0.3555440953066663
uncoupled_cpl    extractionPatterns(stateOrProvince,   province of _
0.3829434311719703)    0.3829434311719703
uncoupled_cpl    extractionPatterns(stateOrProvince,   provinces of _
0.2641392111117997)    0.2641392111117997
uncoupled_cpl    extractionPatterns(stateOrProvince,   refugees in _
0.3721553144055245)    0.3721553144055245
uncoupled_cpl    extractionPatterns(stateOrProvince,   regime in _
0.41656406986419015)   0.41656406986419015
uncoupled_cpl    extractionPatterns(stateOrProvince,   relatives in _
0.3908013126265239)    0.3908013126265239
uncoupled_cpl    extractionPatterns(stateOrProvince,   resorts in _
0.3793310394979349)    0.3793310394979349
uncoupled_cpl    extractionPatterns(stateOrProvince, senator from _
0.26176660312789896)   0.26176660312789896
uncoupled_cpl    extractionPatterns(stateOrProvince, small town in _
0.3259667163218304)    0.3259667163218304
uncoupled_cpl    extractionPatterns(stateOrProvince, states , including _
0.20269720793298152)   0.20269720793298152
uncoupled_cpl    extractionPatterns(stateOrProvince, tours in _
0.3793401435521311)    0.3793401435521311
uncoupled_cpl    extractionPatterns(stateOrProvince, towns in _
0.39020384379841005)   0.39020384379841005
uncoupled_cpl    extractionPatterns(stateOrProvince, treaty with _
0.3741700147376401)    0.3741700147376401
uncoupled_cpl    extractionPatterns(stateOrProvince, universities in _
0.27194729495757924)   0.27194729495757924
uncoupled_cpl    extractionPatterns(stateOrProvince, university in _
0.374001302108551)     0.374001302108551
uncoupled_cpl    extractionPatterns(stateOrProvince, vacation in _
0.3795013973771514)    0.3795013973771514
uncoupled_cpl    extractionPatterns(teamHomeStadium, arg1 are playing at
home in arg2 0.00784314011449841) 0.00784314011449841
uncoupled_cpl    extractionPatterns(teamHomeStadium, arg1 at home at arg2
0.002518892394678161) 0.002518892394678161
uncoupled_cpl    extractionPatterns(teamHomeStadium, arg1 baseball at
arg2 0.003913895928155941)   0.003913895928155941
uncoupled_cpl    extractionPatterns(teamHomeStadium, arg1 baseball game
at arg2 0.06521739833615159) 0.06521739833615159
uncoupled_cpl    extractionPatterns(teamHomeStadium, arg1 baseball games
at arg2 0.0869565248147135) 0.0869565248147135
uncoupled_cpl    extractionPatterns(teamHomeStadium, arg1 basketball at
arg2 0.006329114133082072)   0.006329114133082072
uncoupled_cpl    extractionPatterns(teamHomeStadium, arg1 basketball game
at arg2 0.002518892394678161)      0.002518892394678161
uncoupled_cpl    extractionPatterns(teamHomeStadium, arg1 basketball
games at arg2 0.005870843257547792)      0.005870843257547792
uncoupled_cpl    extractionPatterns(teamHomeStadium, arg1 currently play
at arg2 0.00784314011449841) 0.00784314011449841
uncoupled_cpl    extractionPatterns(teamHomeStadium, arg1 fans at arg2
0.010339735401770727) 0.010339735401770727
uncoupled_cpl    extractionPatterns(teamHomeStadium, arg1 fans into arg2
0.00784314011449841)   0.00784314011449841
uncoupled_cpl    extractionPatterns(teamHomeStadium, arg1 football at
arg2 0.009273568704230548)   0.009273568704230548
uncoupled_cpl    extractionPatterns(teamHomeStadium, arg1 football games
at arg2 0.00784314011449841) 0.00784314011449841
uncoupled_cpl    extractionPatterns(teamHomeStadium, arg1 game at arg2
6.148802651041797E-4) 6.148802651041797E-4
uncoupled_cpl    extractionPatterns(teamHomeStadium, arg1 games are
played at arg2 0.020618552534916658)     0.020618552534916658
uncoupled_cpl    extractionPatterns(teamHomeStadium, arg1 games at arg2
0.0010683765774334461) 0.0010683765774334461
uncoupled_cpl    extractionPatterns(teamHomeStadium, arg1 Games at arg2
0.004687499473526317) 0.004687499473526317
uncoupled_cpl    extractionPatterns(teamHomeStadium, arg1 have played in
arg2 0.00831353807162608)    0.00831353807162608
uncoupled_cpl    extractionPatterns(teamHomeStadium, arg1 hockey games at
arg2 0.04347827025779013)    0.04347827025779013
uncoupled_cpl    extractionPatterns(teamHomeStadium, arg1 home game at
arg2 0.04347827025779013)    0.04347827025779013
uncoupled_cpl    extractionPatterns(teamHomeStadium, arg1 home games at
arg2 0.03260870505590126)    0.03260870505590126
uncoupled_cpl    extractionPatterns(teamHomeStadium, arg1 in Pittsburgh
at arg2 0.003984063502517076)      0.003984063502517076
uncoupled_cpl    extractionPatterns(teamHomeStadium, arg1 lease at arg2
0.01546391552157567)   0.01546391552157567
uncoupled_cpl    extractionPatterns(teamHomeStadium, arg1 locker room at
arg2 0.003984063502517076)   0.003984063502517076
uncoupled_cpl    extractionPatterns(teamHomeStadium, arg1 on Friday at
arg2 0.0036719699125773984) 0.0036719699125773984
uncoupled_cpl    extractionPatterns(teamHomeStadium, arg1 on Monday at
arg2 0.007518797956554604)   0.007518797956554604
uncoupled_cpl    extractionPatterns(teamHomeStadium, arg1 on Saturday at
arg2 0.0030234309992292797) 0.0030234309992292797
uncoupled_cpl    extractionPatterns(teamHomeStadium, arg1 on Sunday at
arg2 9.81354301494333E-4)    9.81354301494333E-4
uncoupled_cpl    extractionPatterns(teamHomeStadium, arg1 on Wednesday at
arg2 0.0059760946077109574) 0.0059760946077109574
uncoupled_cpl    extractionPatterns(teamHomeStadium, arg1 play at arg2
0.00270544464842108)   0.00270544464842108
uncoupled_cpl    extractionPatterns(teamHomeStadium, arg1 play home games
at arg2 0.01546391552157567) 0.01546391552157567
uncoupled_cpl    extractionPatterns(teamHomeStadium, arg1 play out of
arg2 0.003984063502517076)   0.003984063502517076
uncoupled_cpl    extractionPatterns(teamHomeStadium, arg1 play their home
games at arg2 0.002518892394678161)      0.002518892394678161
uncoupled_cpl    extractionPatterns(teamHomeStadium, arg1 schedule at
arg2 0.004581902381304609)   0.004581902381304609
uncoupled_cpl    extractionPatterns(teamHomeStadium, arg1 tickets at arg2
0.002556357206703156) 0.002556357206703156
uncoupled_cpl    extractionPatterns(teamHomeStadium, arg1 Tickets at arg2
9.81354301494333E-4)   9.81354301494333E-4
uncoupled_cpl    extractionPatterns(teamHomeStadium, arg1 tickets at the
outlet inside arg2 0.008670524448465894)       0.008670524448465894
uncoupled_cpl    extractionPatterns(teamHomeStadium, arg1 tickets for all
games at arg2 0.008670524448465894)      0.008670524448465894
uncoupled_cpl    extractionPatterns(teamHomeStadium, arg1 tonight at arg2
0.002764976895778203) 0.002764976895778203
uncoupled_cpl    extractionPatterns(teamHomeStadium, arg1 victory at arg2
0.00360685167260792)   0.00360685167260792
uncoupled_cpl    extractionPatterns(teamHomeStadium, arg2 and cheer arg1
0.0059760946077109574) 0.0059760946077109574
uncoupled_cpl    extractionPatterns(teamHomeStadium, arg2 and cheer on
arg1 0.01546391552157567)    0.01546391552157567
uncoupled_cpl    extractionPatterns(teamHomeStadium, arg2 Field and arg1
0.0024691359681643004) 0.0024691359681643004
uncoupled_cpl    extractionPatterns(teamHomeStadium, arg2 Field to watch
arg1 0.01568627739668317)    0.01568627739668317
uncoupled_cpl    extractionPatterns(teamHomeStadium, arg2 Field where
arg1 0.0035252638304533856) 0.0035252638304533856
uncoupled_cpl    extractionPatterns(teamHomeStadium, arg2 for a game
between arg1 0.01546391552157567) 0.01546391552157567
uncoupled_cpl    extractionPatterns(teamHomeStadium, arg2 has been the
home of arg1 0.011173180170736085) 0.011173180170736085
uncoupled_cpl    extractionPatterns(teamHomeStadium, arg2 Home of arg1
9.835254927833168E-4) 9.835254927833168E-4
uncoupled_cpl    extractionPatterns(teamHomeStadium, arg2 Home to arg1
0.002325581880668906) 0.002325581880668906
uncoupled_cpl    extractionPatterns(teammates, arg1 scored points and
arg2 0.005555554727167898)   0.005555554727167898
uncoupled_cpl    extractionPatterns(teammates, arg1 scored twice and arg2
0.016260165444105492) 0.016260165444105492
uncoupled_cpl    extractionPatterns(teammates, arg2 scored points and
arg1 0.005555554727167898)   0.005555554727167898
uncoupled_cpl    extractionPatterns(teammates, arg2 scored twice and arg1
0.016260165444105492) 0.016260165444105492
uncoupled_cpl    extractionPatterns(teamPlaysAgainstTeam, arg1 and
Eastern arg2 0.31379103758677945) 0.31379103758677945
uncoupled_cpl    extractionPatterns(teamPlaysAgainstTeam, arg1 and North
and South arg2 0.2903224723980957) 0.2903224723980957
uncoupled_cpl    extractionPatterns(teamPlaysAgainstTeam, arg1 and
Northern arg2 0.17647465688009717) 0.17647465688009717
uncoupled_cpl    extractionPatterns(teamPlaysAgainstTeam, arg1 and
northwestern arg2 0.2987652891424677)    0.2987652891424677
uncoupled_cpl    extractionPatterns(teamPlaysAgainstTeam, arg1 and
Republic of arg2 0.3545584735740077)     0.3545584735740077
uncoupled_cpl    extractionPatterns(teamPlaysAgainstTeam, arg1 and sets
in arg2 0.0653152978399275) 0.0653152978399275
uncoupled_cpl    extractionPatterns(teamPlaysAgainstTeam, arg1 and the
north of arg2 0.1752021200168956) 0.1752021200168956
uncoupled_cpl    extractionPatterns(teamPlaysAgainstTeam, arg1 and the
North of arg2 0.20215632393621147) 0.20215632393621147
uncoupled_cpl    extractionPatterns(teamPlaysAgainstTeam, arg1 and the
Republic of arg2 0.3410193699293467)     0.3410193699293467
uncoupled_cpl    extractionPatterns(teamPlaysAgainstTeam, arg1 and West
is arg2 0.0765765794724013) 0.0765765794724013
uncoupled_cpl    extractionPatterns(teamPlaysAgainstTeam, arg1 beat arg2
5.076466110500935E-4) 5.076466110500935E-4
uncoupled_cpl    extractionPatterns(teamPlaysAgainstTeam, arg1 can beat
arg2 0.0021439507652638795) 0.0021439507652638795
uncoupled_cpl    extractionPatterns(teamPlaysAgainstTeam, arg1 declared
war on arg2 0.1398678822710667)    0.1398678822710667
uncoupled_cpl    extractionPatterns(teamPlaysAgainstTeam, arg1 declares
war on arg2 0.14511496335173882) 0.14511496335173882
uncoupled_cpl    extractionPatterns(teamPlaysAgainstTeam, arg1 declare
war on arg2 0.30434784643986396) 0.30434784643986396
uncoupled_cpl    extractionPatterns(teamPlaysAgainstTeam, arg1 defeat
arg2 0.0012251144632045227) 0.0012251144632045227
uncoupled_cpl    extractionPatterns(teamPlaysAgainstTeam, arg1 game
against arg2 9.840587080887002E-4) 9.840587080887002E-4
uncoupled_cpl    extractionPatterns(teamPlaysAgainstTeam, arg1 Germany
from arg2 0.060810792350347816)    0.060810792350347816
uncoupled_cpl    extractionPatterns(teamPlaysAgainstTeam, arg1 lost to
arg2 0.001314845645618167)   0.001314845645618167
uncoupled_cpl    extractionPatterns(teamPlaysAgainstTeam, arg1   military
bases in arg2 0.48192778490731253) 0.48192778490731253
uncoupled_cpl    extractionPatterns(teamPlaysAgainstTeam, arg1   military
in arg2 0.36800012541928123) 0.36800012541928123
uncoupled_cpl    extractionPatterns(teamPlaysAgainstTeam, arg1   or
Northern arg2 0.14345110981307385) 0.14345110981307385
uncoupled_cpl    extractionPatterns(teamPlaysAgainstTeam, arg1   troops out
of arg2 0.46987950006037515) 0.46987950006037515
uncoupled_cpl    extractionPatterns(teamPlaysAgainstTeam, arg1   was at war
with arg2 0.34331805067993265)     0.34331805067993265
uncoupled_cpl    extractionPatterns(teamPlaysAgainstTeam, arg1   went to
war with arg2 0.22018349766191547) 0.22018349766191547
uncoupled_cpl    extractionPatterns(teamPlaysAgainstTeam, arg2   and
Eastern arg1 0.31379103758677945) 0.31379103758677945
uncoupled_cpl    extractionPatterns(teamPlaysAgainstTeam, arg2   and
Northern arg1 0.17647465688009717) 0.17647465688009717
uncoupled_cpl    extractionPatterns(teamPlaysAgainstTeam, arg2   and
northwestern arg1 0.2987652891424677)    0.2987652891424677
uncoupled_cpl    extractionPatterns(teamPlaysAgainstTeam, arg2   and
Republic of arg1 0.3545584735740077)     0.3545584735740077
uncoupled_cpl    extractionPatterns(teamPlaysAgainstTeam, arg2   and sets
in arg1 0.0653152978399275) 0.0653152978399275
uncoupled_cpl    extractionPatterns(teamPlaysAgainstTeam, arg2   and the
North of arg1 0.20215632393621147) 0.20215632393621147
uncoupled_cpl    extractionPatterns(teamPlaysAgainstTeam, arg2   and the
north of arg1 0.37666653707220976) 0.37666653707220976
uncoupled_cpl    extractionPatterns(teamPlaysAgainstTeam, arg2   and the
Republic of arg1 0.3410193699293467)     0.3410193699293467
uncoupled_cpl    extractionPatterns(teamPlaysAgainstTeam, arg2   and West
is arg1 0.0765765794724013) 0.0765765794724013
uncoupled_cpl    extractionPatterns(teamPlaysAgainstTeam, arg2   beat arg1
5.076466110500935E-4) 5.076466110500935E-4
uncoupled_cpl    extractionPatterns(teamPlaysAgainstTeam, arg2   can beat
arg1 0.0021439507652638795) 0.0021439507652638795
uncoupled_cpl    extractionPatterns(teamPlaysAgainstTeam, arg2   declared
war on arg1 0.37995593253483184) 0.37995593253483184
uncoupled_cpl    extractionPatterns(teamPlaysAgainstTeam, arg2   declares
war on arg1 0.14511496335173882) 0.14511496335173882
uncoupled_cpl    extractionPatterns(teamPlaysAgainstTeam, arg2   declare
war on arg1 0.30434784643986396) 0.30434784643986396
uncoupled_cpl    extractionPatterns(teamPlaysAgainstTeam, arg2   defeat
arg1 8.726002594019986E-4)   8.726002594019986E-4
uncoupled_cpl    extractionPatterns(teamPlaysAgainstTeam, arg2   foreign
policy in arg1 0.3978103081508238) 0.3978103081508238
uncoupled_cpl    extractionPatterns(teamPlaysAgainstTeam, arg2   game
against arg1 9.840587080887002E-4) 9.840587080887002E-4
uncoupled_cpl    extractionPatterns(teamPlaysAgainstTeam, arg2   lost to
arg1 0.001314845645618167)   0.001314845645618167
uncoupled_cpl    extractionPatterns(teamPlaysAgainstTeam, arg2   military
bases in arg1 0.48192778490731253) 0.48192778490731253
uncoupled_cpl    extractionPatterns(teamPlaysAgainstTeam, arg2   military
in arg1 0.36800012541928123) 0.36800012541928123
uncoupled_cpl    extractionPatterns(teamPlaysAgainstTeam, arg2   military
presence in arg1 0.41063809493462294)    0.41063809493462294
uncoupled_cpl    extractionPatterns(teamPlaysAgainstTeam, arg2 or
Northern arg1 0.14345110981307385) 0.14345110981307385
uncoupled_cpl    extractionPatterns(teamPlaysAgainstTeam, arg2 troops out
of arg1 0.46987950006037515) 0.46987950006037515
uncoupled_cpl    extractionPatterns(teamPlaysAgainstTeam, arg2 was at war
with arg1 0.34331805067993265)     0.34331805067993265
uncoupled_cpl    extractionPatterns(teamPlaysAgainstTeam, arg2 went to
war with arg1 0.22018349766191547) 0.22018349766191547
uncoupled_cpl    extractionPatterns(teamPlaysInCity, arg1 Academy of Fine
Arts in arg2 0.17708330631247643) 0.17708330631247643
uncoupled_cpl    extractionPatterns(teamPlaysInCity, arg1 and the city of
arg2 2.167786003810689E-4)   2.167786003810689E-4
uncoupled_cpl    extractionPatterns(teamPlaysInCity, arg1 are currently
based in arg2 2.167786003810689E-4)      2.167786003810689E-4
uncoupled_cpl    extractionPatterns(teamPlaysInCity, arg1 College of
Medicine in arg2 0.05102038603247784)    0.05102038603247784
uncoupled_cpl    extractionPatterns(teamPlaysInCity, arg1 College of
Optometry in arg2 0.10756972898183806) 0.10756972898183806
uncoupled_cpl    extractionPatterns(teamPlaysInCity, arg1 Conservatory of
Music in arg2 0.22840680669556776) 0.22840680669556776
uncoupled_cpl    extractionPatterns(teamPlaysInCity, arg1 Flower Show in
arg2 0.10588231896926281)    0.10588231896926281
uncoupled_cpl    extractionPatterns(teamPlaysInCity, arg1 game in arg2
6.110602468324104E-4) 6.110602468324104E-4
uncoupled_cpl    extractionPatterns(teamPlaysInCity, arg1 Health System
in arg2 0.026063093695476984)      0.026063093695476984
uncoupled_cpl    extractionPatterns(teamPlaysInCity, arg1 Law School in
arg2 0.12835826236912956)    0.12835826236912956
uncoupled_cpl    extractionPatterns(teamPlaysInCity, arg1 left arg2
4.1596314016306216E-5) 4.1596314016306216E-5
uncoupled_cpl    extractionPatterns(teamPlaysInCity, arg1 Medical College
in arg2 0.15458270784847847) 0.15458270784847847
uncoupled_cpl    extractionPatterns(teamPlaysInCity, arg1 play in arg2
9.892663926936567E-5) 9.892663926936567E-5
uncoupled_cpl    extractionPatterns(teamPlaysInCity, arg1 Presbyterian
Hospital in arg2 0.11764707805838637)    0.11764707805838637
uncoupled_cpl    extractionPatterns(teamPlaysInCity, arg1 Presbyterian
Medical Center in arg2 0.11553786121599265)    0.11553786121599265
uncoupled_cpl    extractionPatterns(teamPlaysInCity, arg1 Relays in arg2
0.038596487656747815) 0.038596487656747815
uncoupled_cpl    extractionPatterns(teamPlaysInCity, arg1 School of
Dentistry in arg2 0.10674152725499438) 0.10674152725499438
uncoupled_cpl    extractionPatterns(teamPlaysInCity, arg1 School of Law
in arg2 0.02905028456602025) 0.02905028456602025
uncoupled_cpl    extractionPatterns(teamPlaysInCity, arg1 School of
Medicine in arg2 0.028287054985186424) 0.028287054985186424
uncoupled_cpl    extractionPatterns(teamPlaysInCity, arg1 State
University at arg2 0.05709875308209678) 0.05709875308209678
uncoupled_cpl    extractionPatterns(teamPlaysInCity, arg1 University and
lives in arg2 0.10869570478859913) 0.10869570478859913
uncoupled_cpl    extractionPatterns(teamPlaysInCity, arg1 University and
the city of arg2 0.10588231896926281)    0.10588231896926281
uncoupled_cpl    extractionPatterns(teamPlaysInCity, arg1 University and
the City of arg2 0.1117647570576153)     0.1117647570576153
uncoupled_cpl    extractionPatterns(teamPlaysInCity, arg1 University at
arg2 0.025995885590556857)   0.025995885590556857
uncoupled_cpl    extractionPatterns(teamPlaysInCity, arg1 University
campus in arg2 0.03508772236051259)     0.03508772236051259
uncoupled_cpl    extractionPatterns(teamPlaysInCity, arg1 University
Campus in arg2 0.11797754137046088)     0.11797754137046088
uncoupled_cpl    extractionPatterns(teamPlaysInCity, arg1 University
College of Medicine in arg2 0.12499994270999265)    0.12499994270999265
uncoupled_cpl    extractionPatterns(teamPlaysInCity, arg1 University here
in arg2 0.11363633198684088) 0.11363633198684088
uncoupled_cpl    extractionPatterns(teamPlaysInCity, arg1 University
Hospital in arg2 0.05379746133551259)   0.05379746133551259
uncoupled_cpl    extractionPatterns(teamPlaysInCity, arg1 University in
arg2 0.14989383532041595)    0.14989383532041595
uncoupled_cpl    extractionPatterns(teamPlaysInCity, arg1 University in
nearby arg2 0.11363633198684088) 0.11363633198684088
uncoupled_cpl    extractionPatterns(teamPlaysInCity, arg1 University is
located in arg2 0.12175322848992134)    0.12175322848992134
uncoupled_cpl    extractionPatterns(teamPlaysInCity, arg1 University Law
Center in arg2 0.13043477312100557)     0.13043477312100557
uncoupled_cpl    extractionPatterns(teamPlaysInCity, arg1 University Law
School in arg2 0.22772284080177785)     0.22772284080177785
uncoupled_cpl    extractionPatterns(teamPlaysInCity, arg1 University
located in arg2 0.14682542250034492)    0.14682542250034492
uncoupled_cpl    extractionPatterns(teamPlaysInCity, arg1 University
Medical Center in arg2 0.03163687210027688)   0.03163687210027688
uncoupled_cpl    extractionPatterns(teamPlaysInCity, arg1 University
Medical College in arg2 0.15340911070405364) 0.15340911070405364
uncoupled_cpl    extractionPatterns(teamPlaysInCity, arg1 University
Medical School in arg2 0.22439015025303616)   0.22439015025303616
uncoupled_cpl    extractionPatterns(teamPlaysInCity, arg1 University near
arg2 0.11578942954552289)    0.11578942954552289
uncoupled_cpl    extractionPatterns(teamPlaysInCity, arg1 University
School of Law in arg2 0.15571778197747096)    0.15571778197747096
uncoupled_cpl    extractionPatterns(teamPlaysInCity, arg1 University
School of Medicine in arg2 0.4370520427570864)      0.4370520427570864
uncoupled_cpl    extractionPatterns(teamPlaysInCity, arg1 University
School of Music in arg2 0.12499994270999265) 0.12499994270999265
uncoupled_cpl    extractionPatterns(teamPlaysInCity, arg2 campus of the
University of arg1 0.03658536433888332) 0.03658536433888332
uncoupled_cpl    extractionPatterns(teamPlaysInCity, arg2 is also home to
arg1 9.892663926936567E-5)   9.892663926936567E-5
uncoupled_cpl    extractionPatterns(teamPlaysInCity, arg2 is home to arg1
6.819652141914988E-5) 6.819652141914988E-5
uncoupled_cpl    extractionPatterns(teamPlaysInCity, arg2 is the largest
city in arg1 0.0380952376776241) 0.0380952376776241
uncoupled_cpl    extractionPatterns(teamPlaysInCity, arg2 to attend the
University of arg1 0.02828855423883052) 0.02828855423883052
uncoupled_cpl    extractionPatterns(teamPlaysInCity, arg2 to face arg1
3.288081855062916E-4) 3.288081855062916E-4
uncoupled_cpl    extractionPatterns(teamPlaysInCity, arg2 to play arg1
4.02706355904895E-5)   4.02706355904895E-5
uncoupled_cpl    extractionPatterns(teamPlaysInCity, arg2 to take on arg1
4.09165433834508E-4)   4.09165433834508E-4
uncoupled_cpl    extractionPatterns(teamPlaysInLeague, arg1 allies in
arg2 0.024213087166273902)   0.024213087166273902
uncoupled_cpl    extractionPatterns(teamPlaysInLeague, arg1 ally in arg2
0.020895530386235178) 0.020895530386235178
uncoupled_cpl    extractionPatterns(teamPlaysInLeague, arg1 and Democrats
in arg2 0.27096787704975556) 0.27096787704975556
uncoupled_cpl    extractionPatterns(teamPlaysInLeague, arg1 and its
allies in arg2 0.029850759368093047)     0.029850759368093047
uncoupled_cpl    extractionPatterns(teamPlaysInLeague, arg1 and
Republicans in arg2 0.2976877978129926) 0.2976877978129926
uncoupled_cpl    extractionPatterns(teamPlaysInLeague, arg1 and the rest
of arg2 2.012477141481842E-4)      2.012477141481842E-4
uncoupled_cpl    extractionPatterns(teamPlaysInLeague, arg1 Arabs in arg2
0.09687497978302524)   0.09687497978302524
uncoupled_cpl    extractionPatterns(teamPlaysInLeague, arg1 are on top of
arg2 0.008163265550896179)   0.008163265550896179
uncoupled_cpl    extractionPatterns(teamPlaysInLeague, arg1 are the best
team in arg2 0.05494503264191384) 0.05494503264191384
uncoupled_cpl    extractionPatterns(teamPlaysInLeague, arg1 dominance in
arg2 0.0014587899328993349) 0.0014587899328993349
uncoupled_cpl    extractionPatterns(teamPlaysInLeague, arg1 dominated
arg2 1.493986980243474E-4)   1.493986980243474E-4
uncoupled_cpl    extractionPatterns(teamPlaysInLeague, arg1 extremists in
arg2 0.06451613057581944)    0.06451613057581944
uncoupled_cpl    extractionPatterns(teamPlaysInLeague, arg1 foreign
policy in arg2 0.07317071546606509)      0.07317071546606509
uncoupled_cpl    extractionPatterns(teamPlaysInLeague, arg1 for the best
record in arg2 0.008163265550896179)     0.008163265550896179
uncoupled_cpl    extractionPatterns(teamPlaysInLeague, arg1 gained
control of arg2 0.0616438383517059)      0.0616438383517059
uncoupled_cpl    extractionPatterns(teamPlaysInLeague, arg1 have control
of arg2 0.046666673435244464)      0.046666673435244464
uncoupled_cpl    extractionPatterns(teamPlaysInLeague, arg1 have
dominated arg2 0.0014587899328993349)    0.0014587899328993349
uncoupled_cpl    extractionPatterns(teamPlaysInLeague, arg1 have led arg2
6.856357828644486E-4) 6.856357828644486E-4
uncoupled_cpl    extractionPatterns(teamPlaysInLeague, arg1 have taken
control of arg2 0.046666673435244464)    0.046666673435244464
uncoupled_cpl    extractionPatterns(teamPlaysInLeague, arg1 have the best
record in arg2 0.07500001240843804)      0.07500001240843804
uncoupled_cpl    extractionPatterns(teamPlaysInLeague, arg1 imperialism
in arg2 0.03455285839718444) 0.03455285839718444
uncoupled_cpl    extractionPatterns(teamPlaysInLeague, arg1 lead arg2
1.8604648427830232E-4) 1.8604648427830232E-4
uncoupled_cpl    extractionPatterns(teamPlaysInLeague, arg1 lost control
of arg2 0.09110632936651096) 0.09110632936651096
uncoupled_cpl    extractionPatterns(teamPlaysInLeague, arg1 majority in
arg2 0.09119830204525525)    0.09119830204525525
uncoupled_cpl    extractionPatterns(teamPlaysInLeague, arg1 military
presence in arg2 0.02235773349722438)    0.02235773349722438
uncoupled_cpl    extractionPatterns(teamPlaysInLeague, arg1 policy toward
arg2 0.06548173697689605)    0.06548173697689605
uncoupled_cpl    extractionPatterns(teamPlaysInLeague, arg1 regain
control of arg2 0.06129034209013948)     0.06129034209013948
uncoupled_cpl    extractionPatterns(teamPlaysInLeague, arg1 regained
control of arg2 0.09958507251213757)     0.09958507251213757
uncoupled_cpl    extractionPatterns(teamPlaysInLeague, arg1 retain
control of arg2 0.07883817067286347)     0.07883817067286347
uncoupled_cpl    extractionPatterns(teamPlaysInLeague, arg1 take back
arg2 0.06116207323200414)    0.06116207323200414
uncoupled_cpl    extractionPatterns(teamPlaysInLeague, arg1 take control
of arg2 0.0555555421053441) 0.0555555421053441
uncoupled_cpl    extractionPatterns(teamPlaysInLeague, arg1 the best team
in arg2 0.025000011352850984)      0.025000011352850984
uncoupled_cpl    extractionPatterns(teamPlaysInLeague, arg1 took control
of arg2 0.06573544508225149) 0.06573544508225149
uncoupled_cpl    extractionPatterns(teamPlaysInLeague, arg1 were the best
team in arg2 0.008163265550896179) 0.008163265550896179
uncoupled_cpl    extractionPatterns(teamPlaysInLeague, arg1 win control
of arg2 0.08298752364620098) 0.08298752364620098
uncoupled_cpl    extractionPatterns(teamPlaysInLeague, arg1 won control
of arg2 0.21991701683295548) 0.21991701683295548
uncoupled_cpl    extractionPatterns(teamPlaysInLeague, arg2 career with
arg1 1.493986980243474E-4)   1.493986980243474E-4
uncoupled_cpl    extractionPatterns(teamPlaysInLeague, arg2 career with
the Chicago arg1 0.025000011352850984) 0.025000011352850984
uncoupled_cpl    extractionPatterns(teamPlaysInLeague, arg2 champion arg1
9.076833260959938E-4) 9.076833260959938E-4
uncoupled_cpl    extractionPatterns(teamPlaysInLeague, arg2 Championship
game against arg1 0.046666673435244464) 0.046666673435244464
uncoupled_cpl    extractionPatterns(teamPlaysInLeague, arg2 Championship
Game in arg1 0.020895530386235178) 0.020895530386235178
uncoupled_cpl    extractionPatterns(teamPlaysInLeague, arg2 draft by arg1
0.05128207515742614)   0.05128207515742614
uncoupled_cpl    extractionPatterns(teamPlaysInLeague, arg2 Draft by arg1
0.05999998300560459)   0.05999998300560459
uncoupled_cpl    extractionPatterns(teamPlaysInLeague, arg2 Finals
against arg1 0.02235773349722438) 0.02235773349722438
uncoupled_cpl    extractionPatterns(teamPlaysInLeague, arg2 for the
Chicago arg1 0.0013153572200690924)      0.0013153572200690924
uncoupled_cpl    extractionPatterns(teamPlaysInLeague, arg2 Most Valuable
Player and arg1 0.025000011352850984)    0.025000011352850984
uncoupled_cpl    extractionPatterns(teamPlaysInLeague, arg2 seasons with
arg1 0.0021881846627883612) 0.0021881846627883612
uncoupled_cpl    extractionPatterns(teamPlaysInLeague, arg2 title game in
arg1 0.026865670419103378)   0.026865670419103378
uncoupled_cpl    extractionPatterns(teamPlaysInLeague, arg2 with the
Chicago arg1 0.0011461314086838304)      0.0011461314086838304
uncoupled_cpl    extractionPatterns(teamPlaysSport, arg1 and Cubs arg2
0.03937008559151599)   0.03937008559151599
uncoupled_cpl    extractionPatterns(teamPlaysSport, arg1 are playing
their best arg2 0.07407405077366172)     0.07407405077366172
uncoupled_cpl    extractionPatterns(teamPlaysSport, arg1 are the hottest
team in arg2 0.026666664879369802) 0.026666664879369802
uncoupled_cpl    extractionPatterns(teamPlaysSport, arg1 as the best team
in arg2 0.011235959210474253)      0.011235959210474253
uncoupled_cpl    extractionPatterns(teamPlaysSport, arg1 have played
solid arg2 0.015748030014151974) 0.015748030014151974
uncoupled_cpl    extractionPatterns(teamPlaysSport, arg1 play arg2
5.8001249763700115E-5) 5.8001249763700115E-5
uncoupled_cpl    extractionPatterns(teamPlaysSport, arg1 played great
arg2 0.005917158076468131)   0.005917158076468131
uncoupled_cpl    extractionPatterns(teamPlaysSport, arg1 played their
best arg2 0.047058818605667345)    0.047058818605667345
uncoupled_cpl    extractionPatterns(teamPlaysSport, arg1 playing better
arg2 0.016853936993663082)   0.016853936993663082
uncoupled_cpl    extractionPatterns(teamPlaysSport, arg1 we call it arg2
0.0033783799132573096) 0.0033783799132573096
uncoupled_cpl    extractionPatterns(teamPlaysSport, arg1 were playing
their best arg2 0.016853936993663082)    0.016853936993663082
uncoupled_cpl    extractionPatterns(teamPlaysSport, arg1 were the talk of
arg2 0.015748030014151974)   0.015748030014151974
uncoupled_cpl    extractionPatterns(teamPlaysSport, arg2 against the
Chicago arg1 0.03411514016909166) 0.03411514016909166
uncoupled_cpl    extractionPatterns(teamPlaysSport, arg2 and baseball for
arg1 0.0033783799132573096) 0.0033783799132573096
uncoupled_cpl    extractionPatterns(teamPlaysSport, arg2 and your beloved
arg1 0.0033783799132573096) 0.0033783799132573096
uncoupled_cpl    extractionPatterns(teamPlaysSport, arg2 behind the
Chicago arg1 0.03999999299472865) 0.03999999299472865
uncoupled_cpl    extractionPatterns(teamPlaysSport, arg2 career began in
DDDD with arg1 0.0033783799132573096)    0.0033783799132573096
uncoupled_cpl    extractionPatterns(teamPlaysSport, arg2 career with the
Chicago arg1 0.11111106414847875) 0.11111106414847875
uncoupled_cpl    extractionPatterns(teamPlaysSport, arg2 for the Chicago
arg1 0.002301873321392669)   0.002301873321392669
uncoupled_cpl    extractionPatterns(teamPlaysSport, arg2 for the
Cleveland arg1 0.0047393371254790305)    0.0047393371254790305
uncoupled_cpl    extractionPatterns(teamPlaysSport, arg2 for the
Pittsburgh arg1 0.00630517218916012)     0.00630517218916012
uncoupled_cpl    extractionPatterns(teamPlaysSport, arg2 game between
arg1 1.4528546889414082E-4) 1.4528546889414082E-4
uncoupled_cpl    extractionPatterns(teamPlaysSport, arg2 game between the
New York arg1 0.023622042467492173)      0.023622042467492173
uncoupled_cpl    extractionPatterns(teamPlaysSport, arg2 league in arg1
0.004296455064048035) 0.004296455064048035
uncoupled_cpl    extractionPatterns(teamPlaysSport, arg2 matches in arg1
0.0036101065205323465) 0.0036101065205323465
uncoupled_cpl    extractionPatterns(teamPlaysSport, arg2 operations for
arg1 0.0010270455464426202) 0.0010270455464426202
uncoupled_cpl    extractionPatterns(teamPlaysSport, arg2 over the Chicago
arg1 0.004477613837538769)   0.004477613837538769
uncoupled_cpl    extractionPatterns(teamPlaysSport, arg2 player for arg1
4.2983033367063845E-4) 4.2983033367063845E-4
uncoupled_cpl    extractionPatterns(teamPlaysSport, arg2 player for the
New York arg1 0.022471914363420505)      0.022471914363420505
uncoupled_cpl    extractionPatterns(teamPlaysSport, arg2 player for the
Pittsburgh arg1 0.31249994056428093)     0.31249994056428093
uncoupled_cpl    extractionPatterns(teamPlaysSport, arg2 player with arg1
0.003274853970661625) 0.003274853970661625
uncoupled_cpl    extractionPatterns(teamPlaysSport, arg2 quarterback for
arg1 0.008875736155162605)   0.008875736155162605
uncoupled_cpl    extractionPatterns(teamPlaysSport, arg2 stadium for arg1
0.022140229187860686) 0.022140229187860686
uncoupled_cpl    extractionPatterns(teamPlaysSport, arg2 team Chicago
arg1 6.956520157715004E-4)   6.956520157715004E-4
uncoupled_cpl    extractionPatterns(teamPlaysSport, arg2 team is arg1
0.0010434779108487624) 0.0010434779108487624
uncoupled_cpl    extractionPatterns(teamPlaysSport, arg2 team is the
Chicago arg1 0.250000090279989)    0.250000090279989
uncoupled_cpl    extractionPatterns(teamPlaysSport, arg2 team is the New
York arg1 0.07999997154466548)     0.07999997154466548
uncoupled_cpl    extractionPatterns(teamPlaysSport, arg2 team named the
Pittsburgh arg1 0.12499994270999265)     0.12499994270999265
uncoupled_cpl    extractionPatterns(teamPlaysSport, arg2 teams are arg1
0.005970151350836913) 0.005970151350836913
uncoupled_cpl    extractionPatterns(teamPlaysSport, arg2 teams including
arg1 0.008498581599987653)   0.008498581599987653
uncoupled_cpl    extractionPatterns(teamPlaysSport, arg2 team was arg1
0.004576659105426293) 0.004576659105426293
uncoupled_cpl    extractionPatterns(teamPlaysSport, arg2 uniforms for
arg1 0.008875736155162605)   0.008875736155162605
uncoupled_cpl    extractionPatterns(teamPlaysSport, arg2 with the Chicago
arg1 0.0022922646957403985) 0.0022922646957403985
uncoupled_cpl    extractionPatterns(teamPlaysSport, arg2 with the
Pittsburgh arg1 0.00630517218916012)     0.00630517218916012
uncoupled_cpl    extractionPatterns(teamPlaysSport, arg2 world by beating
arg1 0.03999999299472865)    0.03999999299472865
uncoupled_cpl    extractionPatterns(teamPlaysSport, arg2 World Cup held
in arg1 0.005917158076468131)      0.005917158076468131
uncoupled_cpl    extractionPatterns(teamWonTrophy, arg1 and Obama in arg2
0.061855639748996806) 0.061855639748996806
uncoupled_cpl    extractionPatterns(teamWonTrophy, arg1 and Red Sox arg2
0.0198863641642031)    0.0198863641642031
uncoupled_cpl    extractionPatterns(teamWonTrophy, arg1 are going to win
arg2 0.02189780227357842)    0.02189780227357842
uncoupled_cpl    extractionPatterns(teamWonTrophy, arg1 did not win arg2
0.012987018465633417) 0.012987018465633417
uncoupled_cpl    extractionPatterns(teamWonTrophy, arg1 finally won arg2
0.03389831401172234)   0.03389831401172234
uncoupled_cpl    extractionPatterns(teamWonTrophy, arg1 had just won arg2
0.022801293777601796) 0.022801293777601796
uncoupled_cpl    extractionPatterns(teamWonTrophy, arg1 has to win arg2
0.05154639515821056)   0.05154639515821056
uncoupled_cpl    extractionPatterns(teamWonTrophy, arg1 have not won arg2
0.03555555059643001)   0.03555555059643001
uncoupled_cpl    extractionPatterns(teamWonTrophy, arg1 have won two arg2
0.027932957916387155) 0.027932957916387155
uncoupled_cpl    extractionPatterns(teamWonTrophy, arg1 is going to win
arg2 0.06249998263998874)    0.06249998263998874
uncoupled_cpl    extractionPatterns(teamWonTrophy, arg1 just won arg2
0.019455256273562926) 0.019455256273562926
uncoupled_cpl    extractionPatterns(teamWonTrophy, arg1 last won arg2
0.031073435151667106) 0.031073435151667106
uncoupled_cpl    extractionPatterns(teamWonTrophy, arg1 lost the DDDD
arg2 0.02259887845093802)    0.02259887845093802
uncoupled_cpl    extractionPatterns(teamWonTrophy, arg1   might win arg2
0.013089001258802635) 0.013089001258802635
uncoupled_cpl    extractionPatterns(teamWonTrophy, arg1   must win arg2
0.0198863641642031)    0.0198863641642031
uncoupled_cpl    extractionPatterns(teamWonTrophy, arg1   or Clinton in
arg2 0.07731958437843704)    0.07731958437843704
uncoupled_cpl    extractionPatterns(teamWonTrophy, arg1   spring training
arg2 0.01948052559244614)    0.01948052559244614
uncoupled_cpl    extractionPatterns(teamWonTrophy, arg1   team that won
arg2 0.016759768444236232)   0.016759768444236232
uncoupled_cpl    extractionPatterns(teamWonTrophy, arg1   the winner in
arg2 0.061855639748996806)   0.061855639748996806
uncoupled_cpl    extractionPatterns(teamWonTrophy, arg1   went on to win
arg2 0.02189780227357842)    0.02189780227357842
uncoupled_cpl    extractionPatterns(teamWonTrophy, arg1   went on to win
the arg2 0.01918157684353978)      0.01918157684353978
uncoupled_cpl    extractionPatterns(teamWonTrophy, arg1   were going to win
arg2 0.03555555059643001)    0.03555555059643001
uncoupled_cpl    extractionPatterns(teamWonTrophy, arg1   were winning arg2
0.016759768444236232) 0.016759768444236232
uncoupled_cpl    extractionPatterns(teamWonTrophy, arg1   will never win
arg2 0.013966481479980485)   0.013966481479980485
uncoupled_cpl    extractionPatterns(teamWonTrophy, arg1   will not win arg2
0.022801293777601796) 0.022801293777601796
uncoupled_cpl    extractionPatterns(teamWonTrophy, arg1   will win arg2
0.021041175981872856) 0.021041175981872856
uncoupled_cpl    extractionPatterns(teamWonTrophy, arg1   winning the DDDD
arg2 0.0198863641642031)     0.0198863641642031
uncoupled_cpl    extractionPatterns(teamWonTrophy, arg1   winning their
second arg2 0.014598536427273165) 0.014598536427273165
uncoupled_cpl    extractionPatterns(teamWonTrophy, arg1   win the DDDD arg2
0.03999999299472865)   0.03999999299472865
uncoupled_cpl    extractionPatterns(teamWonTrophy, arg1   win their first
arg2 0.014044941269914978)   0.014044941269914978
uncoupled_cpl    extractionPatterns(teamWonTrophy, arg1   win their second
arg2 0.013089001258802635)   0.013089001258802635
uncoupled_cpl    extractionPatterns(teamWonTrophy, arg1   won their first
arg2 0.03351956435573486)    0.03351956435573486
uncoupled_cpl    extractionPatterns(teamWonTrophy, arg1   won their second
arg2 0.025547444165435418)   0.025547444165435418
uncoupled_cpl    extractionPatterns(teamWonTrophy, arg1   won their third
arg2 0.02189780227357842)    0.02189780227357842
uncoupled_cpl    extractionPatterns(teamWonTrophy, arg1   would have won
arg2 0.032573278651244666)   0.032573278651244666
uncoupled_cpl    extractionPatterns(teamWonTrophy, arg1   would never win
arg2 0.016853936993663082)   0.016853936993663082
uncoupled_cpl    extractionPatterns(teamWonTrophy, arg1   would win arg2
0.014796553454907439) 0.014796553454907439
uncoupled_cpl    extractionPatterns(teamWonTrophy, arg2   against the
Atlanta arg1 0.0878378304860376) 0.0878378304860376
uncoupled_cpl    extractionPatterns(teamWonTrophy, arg2   against the
Boston arg1 0.040540532616327535) 0.040540532616327535
uncoupled_cpl    extractionPatterns(teamWonTrophy, arg2   against the Los
Angeles arg1 0.0371621689080499) 0.0371621689080499
uncoupled_cpl    extractionPatterns(teamWonTrophy, arg2 against the New
York arg1 0.024520249318521904)    0.024520249318521904
uncoupled_cpl    extractionPatterns(teamWonTrophy, arg2 behind the New
York arg1 0.023648655867843094)    0.023648655867843094
uncoupled_cpl    extractionPatterns(teamWonTrophy, arg2 between the New
York arg1 0.028248582489823308)    0.028248582489823308
uncoupled_cpl    extractionPatterns(teamWonTrophy, arg2 between the Red
Sox and arg1 0.016759768444236232) 0.016759768444236232
uncoupled_cpl    extractionPatterns(teamWonTrophy, arg2 between the
Yankees and arg1 0.013089001258802635) 0.013089001258802635
uncoupled_cpl    extractionPatterns(teamWonTrophy, arg2 champion Boston
arg1 0.06741572362948918)    0.06741572362948918
uncoupled_cpl    extractionPatterns(teamWonTrophy, arg2 champion New York
arg1 0.10451977406246707)    0.10451977406246707
uncoupled_cpl    extractionPatterns(teamWonTrophy, arg2 final against
arg1 0.02325581664403649)    0.02325581664403649
uncoupled_cpl    extractionPatterns(teamWonTrophy, arg2 loss to the New
York arg1 0.014044941269914978)    0.014044941269914978
uncoupled_cpl    extractionPatterns(teamWonTrophy, arg2 over the New York
arg1 0.01731602336626777)    0.01731602336626777
uncoupled_cpl    extractionPatterns(tool, _ are provided as
0.14440722776526302)   0.14440722776526302
uncoupled_cpl    extractionPatterns(tool, _ collected at
0.5156531136175737)    0.5156531136175737
uncoupled_cpl    extractionPatterns(tool, _ collected by
0.36575886555165216)   0.36575886555165216
uncoupled_cpl    extractionPatterns(tool, _ collected during
0.3713055390201217)    0.3713055390201217
uncoupled_cpl    extractionPatterns(tool, _ collected from
0.37665410728157905)   0.37665410728157905
uncoupled_cpl    extractionPatterns(tool, _ collected on
0.6628550103279408)    0.6628550103279408
uncoupled_cpl    extractionPatterns(tool, _ collected through
0.5877291890589845)    0.5877291890589845
uncoupled_cpl    extractionPatterns(tool, comprehensive set of _
0.37438110614813425)   0.37438110614813425
uncoupled_cpl    extractionPatterns(tool, _ contained on
0.48748585712046844)   0.48748585712046844
uncoupled_cpl    extractionPatterns(tool, directory of _
0.15731863626467368)   0.15731863626467368
uncoupled_cpl    extractionPatterns(tool, dissemination of _
0.3977271744841911)    0.3977271744841911
uncoupled_cpl    extractionPatterns(tool, exchange of _
0.4741237098948639)    0.4741237098948639
uncoupled_cpl    extractionPatterns(tool, _ gained from
0.328691058926749)     0.328691058926749
uncoupled_cpl    extractionPatterns(tool, _ gathered by
0.4355964663937357)    0.4355964663937357
uncoupled_cpl    extractionPatterns(tool, _ gathered from
0.39414437610147446)   0.39414437610147446
uncoupled_cpl    extractionPatterns(tool, _ gleaned from
0.3824746126787385)    0.3824746126787385
uncoupled_cpl    extractionPatterns(tool, good source of _
0.32980160575282846)   0.32980160575282846
uncoupled_cpl    extractionPatterns(tool, great source of _
0.3494579637274098)    0.3494579637274098
uncoupled_cpl    extractionPatterns(tool, _ have appeared in
0.3124649425308642)    0.3124649425308642
uncoupled_cpl    extractionPatterns(tool, information via _
0.24669562245757087)   0.24669562245757087
uncoupled_cpl    extractionPatterns(tool, _ is stored on
0.34799018626264483)   0.34799018626264483
uncoupled_cpl    extractionPatterns(tool, links below for _
0.4550863945153631)    0.4550863945153631
uncoupled_cpl    extractionPatterns(tool, lot of useful _
0.4530304215565392)    0.4530304215565392
uncoupled_cpl    extractionPatterns(tool, _ obtained through
0.34225199012573343)   0.34225199012573343
uncoupled_cpl    extractionPatterns(tool, page contains _
0.18276465354682894)   0.18276465354682894
uncoupled_cpl    extractionPatterns(tool, page includes _
0.31757222697026694)   0.31757222697026694
uncoupled_cpl    extractionPatterns(tool, page provides _
0.46729104160643076)   0.46729104160643076
uncoupled_cpl    extractionPatterns(tool, plenty of _
0.009828008101451796) 0.009828008101451796
uncoupled_cpl    extractionPatterns(tool, _ presented on
0.3116872493023004)    0.3116872493023004
uncoupled_cpl    extractionPatterns(tool, _ provided on
0.37860266543172044)   0.37860266543172044
uncoupled_cpl    extractionPatterns(tool, _ provided through
0.31575237373897025)   0.31575237373897025
uncoupled_cpl    extractionPatterns(tool, _ published on
0.49191172466518585)   0.49191172466518585
uncoupled_cpl    extractionPatterns(tool, retrieval of _
0.33635975244499716)   0.33635975244499716
uncoupled_cpl    extractionPatterns(tool, section contains _
0.3537888545048905)    0.3537888545048905
uncoupled_cpl    extractionPatterns(tool, section provides _
0.36502698376825127)   0.36502698376825127
uncoupled_cpl    extractionPatterns(tool, selection of _
0.019656012653814697) 0.019656012653814697
uncoupled_cpl    extractionPatterns(tool, series of _
0.11547906740892697)   0.11547906740892697
uncoupled_cpl    extractionPatterns(tool, sharing of _
0.38423305362819804)   0.38423305362819804
uncoupled_cpl    extractionPatterns(tool, site contains _
0.19168976903900525)   0.19168976903900525
uncoupled_cpl    extractionPatterns(tool, site includes _
0.33554070619160936)   0.33554070619160936
uncoupled_cpl    extractionPatterns(tool, site provides _
0.38951613095900345)   0.38951613095900345
uncoupled_cpl    extractionPatterns(tool, _ stored on 0.3578558597692725)
      0.3578558597692725
uncoupled_cpl    extractionPatterns(tool, table of _ 0.5136074609192305)
      0.5136074609192305
uncoupled_cpl    extractionPatterns(tool, time running _
0.8632758484331486)    0.8632758484331486
uncoupled_cpl    extractionPatterns(tool, tools , like _
0.009828008101451796) 0.009828008101451796
uncoupled_cpl    extractionPatterns(tool, variety of _
0.08599509665445114)   0.08599509665445114
uncoupled_cpl    extractionPatterns(tool, vast amount of _
0.37864734318217685)   0.37864734318217685
uncoupled_cpl    extractionPatterns(tool, vast amounts of _
0.33221829867889496)   0.33221829867889496
uncoupled_cpl    extractionPatterns(tool, wealth of _
0.39681345316519306)   0.39681345316519306
uncoupled_cpl    extractionPatterns(tool, website has _
0.5723961256091414)    0.5723961256091414
uncoupled_cpl    extractionPatterns(trait, act of _ 0.025865997775241758)
      0.025865997775241758
uncoupled_cpl    extractionPatterns(trait, badge of _
0.034208572788319506) 0.034208572788319506
uncoupled_cpl    extractionPatterns(trait, bond of _ 0.14929948856431893)
      0.14929948856431893
uncoupled_cpl    extractionPatterns(trait, centuries of _
0.18457821053228424)   0.18457821053228424
uncoupled_cpl    extractionPatterns(trait, certain amount of _
0.2590109345070042)    0.2590109345070042
uncoupled_cpl    extractionPatterns(trait, considerable amount of _
0.2871553271619801)    0.2871553271619801
uncoupled_cpl    extractionPatterns(trait, crisis of _
0.22020771917881726)   0.22020771917881726
uncoupled_cpl    extractionPatterns(trait, decades of _
0.22391852969571152)   0.22391852969571152
uncoupled_cpl    extractionPatterns(trait, deed of _ 0.11020841764689354)
      0.11020841764689354
uncoupled_cpl    extractionPatterns(trait, degrees of _
0.23356403491623448)   0.23356403491623448
uncoupled_cpl    extractionPatterns(trait, different levels of _
0.2320503279553254)    0.2320503279553254
uncoupled_cpl    extractionPatterns(trait, enormous amount of _
0.2258771526147608)    0.2258771526147608
uncoupled_cpl    extractionPatterns(trait, _ exists between
0.1774795301172511)    0.1774795301172511
uncoupled_cpl    extractionPatterns(trait, freedom of _
0.43743725526795085)   0.43743725526795085
uncoupled_cpl    extractionPatterns(trait, gesture of _
0.203716491353674)     0.203716491353674
uncoupled_cpl    extractionPatterns(trait, good amount of _
0.21379172190790016)   0.21379172190790016
uncoupled_cpl    extractionPatterns(trait, good deal of _
0.22576627415571618)   0.22576627415571618
uncoupled_cpl    extractionPatterns(trait, great amount of _
0.18818081433255587)   0.18818081433255587
uncoupled_cpl    extractionPatterns(trait, great deal of _
0.25307838907587704)   0.25307838907587704
uncoupled_cpl    extractionPatterns(trait, great sense of _
0.43196746762383753)   0.43196746762383753
uncoupled_cpl    extractionPatterns(trait, high degree of _
0.2774692951571336)    0.2774692951571336
uncoupled_cpl    extractionPatterns(trait,    higher levels of _
0.19235089438799963)    0.19235089438799963
uncoupled_cpl    extractionPatterns(trait,    high standard of _
0.19299963138526155)    0.19299963138526155
uncoupled_cpl    extractionPatterns(trait,    high standards of _
0.22221097734591017)    0.22221097734591017
uncoupled_cpl    extractionPatterns(trait,    incidents of _
0.20450292508652235)    0.20450292508652235
uncoupled_cpl    extractionPatterns(trait,    instrument of _
0.18750439384616996)    0.18750439384616996
uncoupled_cpl    extractionPatterns(trait,    lack of _ 0.21830917216023268)
      0.21830917216023268
uncoupled_cpl    extractionPatterns(trait,    level of _ 0.2657173843143781)
      0.2657173843143781
uncoupled_cpl    extractionPatterns(trait,    many years of _
0.34024069001992663)    0.34024069001992663
uncoupled_cpl    extractionPatterns(trait,    messages of _
0.21610454149063565)    0.21610454149063565
uncoupled_cpl    extractionPatterns(trait,    new found _
0.1430395662400014)     0.1430395662400014
uncoupled_cpl    extractionPatterns(trait,    notions of _
0.18502635584940752)    0.18502635584940752
uncoupled_cpl    extractionPatterns(trait,    ounce of _
0.18731323687107748)    0.18731323687107748
uncoupled_cpl    extractionPatterns(trait,    outpouring of _
0.11691980576553597)    0.11691980576553597
uncoupled_cpl    extractionPatterns(trait,    period of _
0.43040442028861414)    0.43040442028861414
uncoupled_cpl    extractionPatterns(trait,    periods of _
0.49776460222701524)    0.49776460222701524
uncoupled_cpl    extractionPatterns(trait,    random acts of _
0.10207096217420111)    0.10207096217420111
uncoupled_cpl    extractionPatterns(trait,    reasonable amount of _
0.4046503168574325)     0.4046503168574325
uncoupled_cpl    extractionPatterns(trait,    reasons of _
0.19094821754938066)    0.19094821754938066
uncoupled_cpl    extractionPatterns(trait,    right amount of _
0.18645674445800065)    0.18645674445800065
uncoupled_cpl    extractionPatterns(trait,    same amount of _
0.22426587253790164)    0.22426587253790164
uncoupled_cpl    extractionPatterns(trait,    show of _ 0.21308588043569643)
      0.21308588043569643
uncoupled_cpl    extractionPatterns(trait,    small acts of _
0.03513312012885711)    0.03513312012885711
uncoupled_cpl    extractionPatterns(trait,    strong sense of _
0.23046275802264723)    0.23046275802264723
uncoupled_cpl    extractionPatterns(trait,    struggle for _
0.23136887051516222)    0.23136887051516222
uncoupled_cpl    extractionPatterns(trait,    test of _ 0.280771530241343)
      0.280771530241343
uncoupled_cpl    extractionPatterns(trait,    tool of _ 0.22967293587976692)
      0.22967293587976692
uncoupled_cpl    extractionPatterns(trait,    tremendous amount of _
0.2547794525549286)     0.2547794525549286
uncoupled_cpl    extractionPatterns(trait, whole lot of _
0.21121261475080427)   0.21121261475080427
uncoupled_cpl    extractionPatterns(trait, words of _ 0.1848994712956727)
      0.1848994712956727
uncoupled_cpl    extractionPatterns(university, anthropology at _
0.6527598379323778)    0.6527598379323778
uncoupled_cpl    extractionPatterns(university, anthropology from _
0.5578673884236705)    0.5578673884236705
uncoupled_cpl    extractionPatterns(university, art history at _
0.6462880349735539)    0.6462880349735539
uncoupled_cpl    extractionPatterns(university, arts degree from _
0.6074186634841638)    0.6074186634841638
uncoupled_cpl    extractionPatterns(university, B.A. at _
0.6825394168256504)    0.6825394168256504
uncoupled_cpl    extractionPatterns(university, B.A. degree from _
0.6418606852554946)    0.6418606852554946
uncoupled_cpl    extractionPatterns(university, BA degree from _
0.6690911366203869)    0.6690911366203869
uncoupled_cpl    extractionPatterns(university, BA from _
0.6322224303485349)    0.6322224303485349
uncoupled_cpl    extractionPatterns(university, B.A. from _
0.6770853114840661)    0.6770853114840661
uncoupled_cpl    extractionPatterns(university, biochemistry from _
0.6690262379277723)    0.6690262379277723
uncoupled_cpl    extractionPatterns(university, B.S. degree from _
0.6376638597980837)    0.6376638597980837
uncoupled_cpl    extractionPatterns(university, chemical engineering from
_ 0.09361702696718549) 0.09361702696718549
uncoupled_cpl    extractionPatterns(university, computer science at _
0.6480638846930595)    0.6480638846930595
uncoupled_cpl    extractionPatterns(university, computer science from _
0.5501771289318858)    0.5501771289318858
uncoupled_cpl    extractionPatterns(university, cum laude , from _
0.6326531204569393)    0.6326531204569393
uncoupled_cpl    extractionPatterns(university, doctoral degree from _
0.6126876598870685)    0.6126876598870685
uncoupled_cpl    extractionPatterns(university, doctoral studies at _
0.6471772922459129)    0.6471772922459129
uncoupled_cpl    extractionPatterns(university, doctorate at _
0.6384422844495241)    0.6384422844495241
uncoupled_cpl    extractionPatterns(university, economics from _
0.6266212423908324)    0.6266212423908324
uncoupled_cpl    extractionPatterns(university, electrical engineering at
_ 0.6226417286571362) 0.6226417286571362
uncoupled_cpl    extractionPatterns(university, electrical engineering
from _ 0.11234486351483229) 0.11234486351483229
uncoupled_cpl    extractionPatterns(university, engineering degree from _
0.6282896454331881)    0.6282896454331881
uncoupled_cpl    extractionPatterns(university, Engineering degree from _
0.6653227617888402)    0.6653227617888402
uncoupled_cpl    extractionPatterns(university, graduate degrees from _
0.6981893066679689)    0.6981893066679689
uncoupled_cpl    extractionPatterns(university, graduate school at _
0.5544137665363308)    0.5544137665363308
uncoupled_cpl    extractionPatterns(university, law professor at _
0.6422414215189961)    0.6422414215189961
uncoupled_cpl    extractionPatterns(university, law school at _
0.6229624717316472)    0.6229624717316472
uncoupled_cpl    extractionPatterns(university, linguistics at _
0.6726090664911625)    0.6726090664911625
uncoupled_cpl    extractionPatterns(university, mechanical engineering at
_ 0.7016132168120816) 0.7016132168120816
uncoupled_cpl    extractionPatterns(university, mechanical engineering
from _ 0.10821914363337237) 0.10821914363337237
uncoupled_cpl    extractionPatterns(university, Music degree from _
0.6324551310172) 0.6324551310172
uncoupled_cpl    extractionPatterns(university, PhD from _
0.11860946375839859)   0.11860946375839859
uncoupled_cpl    extractionPatterns(university, physics from _
0.0942261061918749)    0.0942261061918749
uncoupled_cpl    extractionPatterns(university, political science at _
0.6607313178867457)    0.6607313178867457
uncoupled_cpl    extractionPatterns(university, political science from _
0.5718543230621866)    0.5718543230621866
uncoupled_cpl    extractionPatterns(university, professor emeritus at _
0.6535664943400282)    0.6535664943400282
uncoupled_cpl    extractionPatterns(university, Science degree from _
0.6387309255900788)    0.6387309255900788
uncoupled_cpl    extractionPatterns(university, science degree from _
0.6402983752135223)    0.6402983752135223
uncoupled_cpl    extractionPatterns(university, science professor at _
0.6725666934547382)    0.6725666934547382
uncoupled_cpl    extractionPatterns(university, service at _
0.7374212323981479)    0.7374212323981479
uncoupled_cpl    extractionPatterns(university, sociology at _
0.6513872236568956)    0.6513872236568956
uncoupled_cpl    extractionPatterns(university, sociology from _
0.6289157336602191)    0.6289157336602191
uncoupled_cpl    extractionPatterns(university, Studies at _
0.6338696151704128)    0.6338696151704128
uncoupled_cpl    extractionPatterns(university, Studies from _
0.6450567381055725)    0.6450567381055725
uncoupled_cpl    extractionPatterns(university, summa cum laude from _
0.650240489937902)     0.650240489937902
uncoupled_cpl    extractionPatterns(university, undergraduate at _
0.5335139822794401)    0.5335139822794401
uncoupled_cpl    extractionPatterns(university, undergraduate degree at _
0.6287742435383812)    0.6287742435383812
uncoupled_cpl    extractionPatterns(university, undergraduate education
at _ 0.6682245561727505)     0.6682245561727505
uncoupled_cpl    extractionPatterns(university, undergraduate studies at
_ 0.6382354626563023) 0.6382354626563023
uncoupled_cpl    extractionPatterns(university, undergraduate work at _
0.6524061379615691)    0.6524061379615691
uncoupled_cpl    extractionPatterns(vehicle, _ arising from
0.10461283806872246)   0.10461283806872246
uncoupled_cpl    extractionPatterns(vehicle, _ arising out of
0.17129192744681482)   0.17129192744681482
uncoupled_cpl     extractionPatterns(vehicle,   _ caused by
0.09526793392701205)    0.09526793392701205
uncoupled_cpl     extractionPatterns(vehicle,   chain of _
0.13332840283013284)    0.13332840283013284
uncoupled_cpl     extractionPatterns(vehicle,   cheap used _
0.0640776916378861)     0.0640776916378861
uncoupled_cpl     extractionPatterns(vehicle,   clusters of _
0.11552780985930725)    0.11552780985930725
uncoupled_cpl     extractionPatterns(vehicle,   country on _
0.09413155065608) 0.09413155065608
uncoupled_cpl     extractionPatterns(vehicle,   couple of _
0.11513568230038523)    0.11513568230038523
uncoupled_cpl     extractionPatterns(vehicle,   couple of other _
0.14825329728038025)    0.14825329728038025
uncoupled_cpl     extractionPatterns(vehicle,   crowd of _
0.1667069163973493)     0.1667069163973493
uncoupled_cpl     extractionPatterns(vehicle,   dollars in _
0.10222551242775485)    0.10222551242775485
uncoupled_cpl     extractionPatterns(vehicle,   emissions from _
0.06236437999547637)    0.06236437999547637
uncoupled_cpl     extractionPatterns(vehicle,   fleet of _
0.07245888365471131)    0.07245888365471131
uncoupled_cpl     extractionPatterns(vehicle,   flood of _
0.09420095117986525)    0.09420095117986525
uncoupled_cpl     extractionPatterns(vehicle,   great number of _
0.15906235242781322)    0.15906235242781322
uncoupled_cpl     extractionPatterns(vehicle,   host of other _
0.14424587070002792)    0.14424587070002792
uncoupled_cpl     extractionPatterns(vehicle,   life on _
0.13277557261648185)    0.13277557261648185
uncoupled_cpl     extractionPatterns(vehicle,   _ manufactured by
0.0955382106500379)     0.0955382106500379
uncoupled_cpl     extractionPatterns(vehicle,   many different types of _
0.1322836233137138)     0.1322836233137138
uncoupled_cpl     extractionPatterns(vehicle,   _ offered in
0.09131328432945915)    0.09131328432945915
uncoupled_cpl     extractionPatterns(vehicle,   _ operating in
0.09113822216270301)    0.09113822216270301
uncoupled_cpl     extractionPatterns(vehicle,   other types of _
0.09086076492183875)    0.09086076492183875
uncoupled_cpl     extractionPatterns(vehicle,   _ parked in
0.0878355467321339)     0.0878355467321339
uncoupled_cpl     extractionPatterns(vehicle,   _ parked on
0.0746349039371245)     0.0746349039371245
uncoupled_cpl     extractionPatterns(vehicle,   pool of _
0.09570382621255946)    0.09570382621255946
uncoupled_cpl     extractionPatterns(vehicle,   portfolio of _
0.10628426808755947)    0.10628426808755947
uncoupled_cpl     extractionPatterns(vehicle,   quality used _
0.1353884804554935)     0.1353884804554935
uncoupled_cpl     extractionPatterns(vehicle,   quantities of _
0.09190985676868144)    0.09190985676868144
uncoupled_cpl     extractionPatterns(vehicle,   quantity of _
0.093189054982202)      0.093189054982202
uncoupled_cpl    extractionPatterns(vehicle,   _ resulting from
0.09393483329021607)   0.09393483329021607
uncoupled_cpl    extractionPatterns(vehicle,   sale used _
0.06213592219737536)   0.06213592219737536
uncoupled_cpl    extractionPatterns(vehicle,   schedule of _
0.14307461522705578)   0.14307461522705578
uncoupled_cpl    extractionPatterns(vehicle,   selection of _
0.08455018631775993)   0.08455018631775993
uncoupled_cpl    extractionPatterns(vehicle,   sequence of _
0.10941689145986583)   0.10941689145986583
uncoupled_cpl    extractionPatterns(vehicle,   small number of _
0.14537974920890698)   0.14537974920890698
uncoupled_cpl    extractionPatterns(vehicle,   _ sold by
0.09631646487252557)   0.09631646487252557
uncoupled_cpl    extractionPatterns(vehicle,   _ sold in
0.08544417844030028)   0.08544417844030028
uncoupled_cpl    extractionPatterns(vehicle,   speed of _
0.1704084630557668)    0.1704084630557668
uncoupled_cpl    extractionPatterns(vehicle,   stream of _
0.0829801380852588)    0.0829801380852588
uncoupled_cpl    extractionPatterns(vehicle,   streams of _
0.08544093162320945)   0.08544093162320945
uncoupled_cpl    extractionPatterns(vehicle,   suite of _
0.09143252595374632)   0.09143252595374632
uncoupled_cpl    extractionPatterns(vehicle,   table of _
0.47725754842527385)   0.47725754842527385
uncoupled_cpl    extractionPatterns(vehicle,   tons of _
0.12901998037322637)   0.12901998037322637
uncoupled_cpl    extractionPatterns(vehicle,   varies from _
0.10702787119295692)   0.10702787119295692
uncoupled_cpl    extractionPatterns(vehicle,   variety of _
0.14782768116702732)   0.14782768116702732
uncoupled_cpl    extractionPatterns(vehicle,   volume of _
0.11037562031564627)   0.11037562031564627
uncoupled_cpl    extractionPatterns(vehicle,   whole bunch of _
0.13021113898329723)   0.13021113898329723
uncoupled_cpl    extractionPatterns(vehicle,   whole lot of _
0.1349413553148651)    0.1349413553148651
uncoupled_cpl    extractionPatterns(vehicle,   wide array of _
0.08768907147224364)   0.08768907147224364
uncoupled_cpl    extractionPatterns(vehicle,   world on _
0.06070525568916067)   0.06070525568916067

				
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