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probabilistic scf 0.002743481
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scf lexicons 0.002681845
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good scf 0.002674283
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scf extraction 0.002660736
potential scf 0.002657019
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scf errors 0.002614564
predefined scf 0.002603708
valex scf 0.002592677
scf extractor 0.00257923
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scf inventories 0.002575964
scf count 0.0025722650000000002
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scf lexi 0.002571607
arbitrary scf 0.002571453
scf inven 0.002567527
focused scf 0.002567527
syntactic scfs 0.0018267930000000002
semantic information 0.0017102200000000001
syntactic classes 0.001671619
clustering verbs 0.00165701
syntactic frames 0.0016479580000000001
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same data 0.001609516
data set 0.001594968
semantic level 0.001517824
feature set 0.001497978
several feature 0.001485257
several verbs 0.001433473
feature sets 0.001394665
data sparsity 0.0013805549999999999
semantic argument 0.001379046
sufficient data 0.001375453
annotated data 0.001367074
syntactic similarity 0.001363652
member verbs 0.001358826
many scfs 0.0013464
acquisition methods 0.001344542
feature types 0.001341789
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domains verbs 0.0012950869999999999
corresponding feature 0.00128378
syntactic preferences 0.001281688
syntactic relationship 0.001276725
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syntactic fea 0.001257022
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syntactic behavior 0.001233949
semantic infor 0.001218229
glish verbs 0.001218051
semantic distinctions 0.001209191
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semantic realization 0.0011952500000000001
language corpus 0.001186475
potential scfs 0.0011813470000000001
other relations 0.001178182
other words 0.001171786
alternation classes 0.00116467
subcategorization frames 0.001150286
acquisition systems 0.00114947
traditional scfs 0.001135442
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cluster gold 0.001113311
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probability distribution 0.0010579159999999999
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features tgr 0.001049842
tgr features 0.001049842
class count 0.001048613
comprehensive evaluation 0.001036224
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feature 0.00102114
previous work 0.001015668
other coun 0.00101164
other countries 0.00101164
parsing model 0.0010066089999999999
verb clustering 0.001004682
complementary features 9.941E-4
features pgr 9.90835E-4
pgr features 9.90835E-4
gold standard 9.906910000000001E-4
such alternation 9.834750000000001E-4
