target word 0.003286211
word features 0.0032437679999999997
target words 0.003065661
source word 0.003007144
automatic word 0.0029916359999999998
token word 0.002982594
word top 0.0029500159999999997
other words 0.002943079
region word 0.0029056019999999998
word similarities 0.0028996559999999996
word type 0.002883902
word types 0.002882914
new words 0.002856117
cilin words 0.002854811
word groups 0.002854201
word ranking 0.0028476649999999997
similar words 0.0028461899999999997
word segmentation 0.0028450439999999997
lion word 0.0028422839999999996
specific words 0.002773135
unknown words 0.002734224
unseen words 0.002690653
related words 0.00267483
content words 0.002670185
words 0.00238311
same data 0.001937379
test data 0.0017281459999999998
data source 0.0016819839999999999
semantic categories 0.001620483
data sources 0.001615268
semantic classification 0.001581111
kong data 0.0015743099999999998
appropriate data 0.001569767
data size 0.0015684779999999999
beijing data 0.001536104
data heterogeneity 0.001529913
taipei data 0.0015254799999999998
pore data 0.001518083
ous data 0.001516981
semantic lexicon 0.0015004340000000001
semantic classes 0.0014913580000000001
semantic head 0.0014844530000000002
chinese corpus 0.001481317
semantic hierarchy 0.001394052
standard chinese 0.001359564
semantic classi 0.0013588760000000002
semantic lexicons 0.00135746
semantic heads 0.001352986
chinese language 0.0012879649999999999
new similarity 0.0012861489999999999
chinese thesaurus 0.001257893
morphological similarity 0.001251771
feature space 0.0012416789999999999
similarity measure 0.001217732
different results 0.001199484
large text 0.001177155
similarity function 0.001158169
cosine similarity 0.001155265
same time 0.001137143
similarity measures 0.0011367999999999999
feature vector 0.001135767
such variation 0.001123812
lexical knowledge 0.001117156
human english 0.001115392
feature clustering 0.0011107320000000001
language information 0.001108422
text corpora 0.001105128
chinese lexicon 0.001087803
morphological features 0.001078737
newspaper corpus 0.001070839
sinica corpus 0.001070677
thesaurus class 0.001070606
unique target 0.001064559
space rate 0.001060107
lexical acquisition 0.001058774
conventional similarity 0.001056998
similarity meas 0.001051597
synchronous corpus 0.001048371
lexical items 0.00104766
chinese speech 0.001047054
corpus livac 0.001029062
classification performance 0.0010254309999999998
sources target 0.0010193189999999999
lexical resource 0.001015527
chinese terms 0.001014821
individual features 0.001009942
feature vectors 0.001006414
clustering method 0.0010050369999999999
different testing 0.0010009069999999999
different communities 9.976059999999998E-4
lexical innovation 9.95715E-4
gold standard 9.94104E-4
head level 9.886930000000001E-4
chinese newspaper 9.8828E-4
cilin categories 9.801739999999999E-4
kong target 9.78361E-4
general domain 9.72334E-4
different meanings 9.712459999999999E-4
same form 9.70626E-4
different chi 9.68282E-4
