word sense 0.00386899
sense disambiguation 0.0030624190000000003
first sense 0.00299359
correct sense 0.002908524
possible sense 0.002813167
word senses 0.0028011299999999998
sense ranking 0.002790626
sense combination 0.002772264
common sense 0.002715194
sense association 0.002695332
appropriate sense 0.002691901
sense selection 0.002688199
sense com 0.002643083
different senses 0.00241823
sense 0.00237973
other word 0.002261916
other words 0.002164136
noun senses 0.001968356
word pairs 0.001950541
correct senses 0.0018406639999999999
many words 0.001810572
word procedure 0.0017955080000000001
speech word 0.001758596
possible senses 0.001745307
biguous word 0.001743934
word injury 0.0017422100000000001
common words 0.001726944
other wsd 0.001708004
wsd methods 0.001697414
stricted words 0.001649166
preselected words 0.001645162
different method 0.001608567
promising senses 0.001581737
training corpus 0.001578177
relevant senses 0.0015650859999999998
other methods 0.001534722
training methods 0.001468324
wsd method 0.001437555
different meanings 0.001430655
different point 0.001421479
words 0.00139148
senses 0.00131187
other method 0.001274863
brown corpus 0.001260446
large corpus 0.00125829
similarity lists 0.001249637
similarity list 0.0012392050000000002
wsd meth 0.001202402
disambiguation method 0.001184896
noun contexts 0.001160085
semantic density 0.001158906
method noun 0.001158693
semantic distance 0.001152379
lexical relations 0.001133647
such noun 0.0011305389999999998
correct performance 0.0011153819999999998
other metrics 0.001109985
unsupervised methods 0.001108021
large training 0.001092629
other hand 0.001081874
high accuracy 0.001080878
statistical methods 0.001066392
other tasks 0.001055294
unsupervised training 0.001052213
other applications 0.001046304
average accuracy 0.001046292
same time 0.00104548
same class 0.001044498
other modules 0.00103523
ther methods 0.0010307340000000002
ion wordnet 0.001021011
tical methods 0.001018178
semantic relationship 0.001017376
hybrid methods 0.001016606
noun report 0.0010104749999999998
grain disambiguation 9.97679E-4
noun pair 9.95592E-4
first algorithm 9.91266E-4
statistical disambiguation 9.87015E-4
noun law 9.80702E-4
noun hierarchy 9.740829999999999E-4
training meth 9.73312E-4
large number 9.725579999999999E-4
appropriate noun 9.686569999999999E-4
small number 9.6282E-4
linguistic information 9.55707E-4
sentence context 9.43601E-4
first step 9.42697E-4
future work 9.302099999999999E-4
noun representation 9.23215E-4
noun drug 9.230639999999999E-4
final results 9.20019E-4
noun sub 9.15515E-4
information extraction 9.14646E-4
noun hierarchies 9.101249999999999E-4
total number 9.06949E-4
natural language 8.84552E-4
similarity 8.8345E-4
limited number 8.723019999999999E-4
corpus 8.71919E-4
