clustering model 0.002010194
other model 0.001872037
model set 0.001821774
semantic model 0.001785278
word data 0.001776335
model performance 0.0017478429999999998
same model 0.001715788
mvm model 0.00170805
word similarity 0.0016960579999999999
model complexity 0.0016812139999999999
similar model 0.0016802409999999999
documents model 0.0016731629999999999
model probability 0.001642573
single model 0.001638292
various model 0.001621852
model size 0.0016199679999999998
variation model 0.001611613
word corpus 0.001609797
dpmm model 0.0016082779999999999
novel model 0.001601506
model settings 0.001577537
generative model 0.0015769879999999999
word representation 0.001556236
allocation model 0.001553374
word features 0.001541401
model types 0.001537178
model confidence 0.001536237
such word 0.00152476
model syntax 0.001516503
clustering models 0.001512968
model capacity 0.0015117429999999999
model parameterizations 0.0014970559999999999
model primitives 0.0014970559999999999
modeling word 0.0014715149999999998
word context 0.001416922
different set 0.001394459
different approach 0.001382462
representation data 0.001363725
data features 0.00134889
word clusters 0.0013380619999999999
different cluster 0.0013360289999999999
data set 0.001308826
model 0.00130486
word relatedness 0.001294932
word intrusion 0.001288711
semantic models 0.001288052
language modeling 0.001282272
semantic language 0.001275598
such similarity 0.001251972
space models 0.001249237
head word 0.001247703
multiple data 0.001244782
context data 0.001224411
word distributions 0.001219749
word usage 0.001213659
data source 0.001211323
mvm models 0.001210824
semantic similarity 0.001192053
word collocations 0.0011873019999999999
word occurrence 0.001186447
word meaning 0.001183291
mining word 0.001180418
word senses 0.001179662
word occurrences 0.0011793569999999998
lexical similarity 0.001176756
lexicographical word 0.001176547
word idiot 0.001176547
different class 0.0011690749999999999
computational models 0.001167722
documents data 0.001160215
multiple clustering 0.001158204
work models 0.001151635
topic modeling 0.001146938
different range 0.001144321
data vector 0.001128627
single data 0.001125344
different sets 0.001122395
document representation 0.001120819
human similarity 0.001116731
clustering structure 0.0011163899999999999
different group 0.001113488
document features 0.001105984
different ways 0.001105272
clustering method 0.001093438
mixture models 0.001082981
different views 0.001080278
different subsets 0.001079633
different simi 0.0010718989999999999
different parts 0.0010709629999999999
different mass 0.0010709629999999999
same topic 0.001070774
related models 0.001069364
data partitions 0.001051979
data com 0.0010477870000000001
previous data 0.001043657
clustering probability 0.001043047
textual data 0.001042017
single clustering 0.001038766
data yields 0.001029258
tive models 0.001027032
