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lexical semantic 0.002475891
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arabic verbs 0.002219747
many verbs 0.002205966
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semantic vector 0.002099588
particular verbs 0.002096938
msa verbs 0.002091875
relevant verbs 0.002065007
group verbs 0.002059375
verbs group 0.002059375
semantic analysis 0.002053309
hyp verbs 0.002016619
active verbs 0.0020086360000000003
semantic event 0.002006917
unclassified verbs 0.002004049
sifying verbs 0.002004049
semantic study 0.001996275
semantic word 0.001994823
semantic mean 0.001977053
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semantic clus 0.001960697
semantic clas 0.001955734
semantic vectors 0.001923054
semantic attributes 0.001901397
gold class 0.0018934009999999999
clustering algorithm 0.001796302
verbs 0.00177909
gold cluster 0.001748121
english class 0.0017423410000000001
clustering approach 0.0017385810000000001
soft clustering 0.001737532
clustering techniques 0.00173564
clustering experiments 0.00169296
levin class 0.001686265
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semantic 0.00167665
supervised clustering 0.001671514
clustering algorithms 0.0016702800000000001
hard clustering 0.001666919
clustering tech 0.001658851
fuzzy clustering 0.0016513180000000001
syntactic frames 0.001644494
same class 0.001632227
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gold clusters 0.001578837
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clustering 0.0014269
evaluation data 0.00142641
class assignment 0.001423929
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data set 0.001391892
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cluster size 0.0013796939999999999
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syntactic behavior 0.001372421
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cluster membership 0.001347406
feature columns 0.0013466889999999999
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syntactic diagnostics 0.001334017
arabic classes 0.00132884
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library cluster 0.001313877
levin classification 0.001307127
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hyp cluster 0.001290989
standard data 0.00127904
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gold set 0.001228632
wordnet classes 0.001219843
class 0.00119874
data the 0.001193454
frame information 0.00118885
various clusters 0.001188209
new features 0.001185577
lexical form 0.0011791150000000001
multiple classes 0.001171302
multiple clusters 0.001167295
data sets 0.001166179
information structure 0.0011486
ent classes 0.001147628
rect classes 0.001135757
