word sense 0.00454188
different sense 0.003915619
sense number 0.0038310749999999998
sense set 0.003711656
sense disambiguation 0.003566242
based sense 0.003516361
possible sense 0.00346565
new sense 0.003457434
correct sense 0.003398182
supervised sense 0.00337545
complete sense 0.00336275
sense disambigua 0.003346675
truth sense 0.003334777
sense discrimination 0.00332969
sense dis 0.003323555
sense sets 0.003323173
frequent sense 0.003306223
sense numbers 0.003304052
dominant sense 0.0033011530000000002
incomplete sense 0.003297204
sense disam 0.003296644
sense tags 0.003292805
sense tag 0.003288311
sense inventory 0.0032882140000000002
sense taggers 0.003287281
timated sense 0.003284884
sense inventories 0.003281741
sense invento 0.0032793650000000002
incorrect sense 0.0032793650000000002
sense 0.00301651
english word 0.002060892
data set 0.002053586
training data 0.002038238
test data 0.002014355
target word 0.001962014
supervised word 0.0018843100000000002
other words 0.0018681890000000001
ambiguous word 0.0018559520000000001
cluster number 0.0017957659999999999
untagged data 0.001713754
labeled data 0.0017104820000000001
possible senses 0.00171003
data ssubset 0.0017076230000000001
new senses 0.0017018139999999998
unlabeled data 0.0016791100000000002
same cluster 0.0016453219999999998
algorithm clustering 0.001639985
clustering algorithm 0.001639985
mixed data 0.001639709
english words 0.001625342
feature set 0.001572926
different class 0.001545338
undefined senses 0.001528217
target words 0.001526464
rare senses 0.001526332
other methods 0.001450887
stop words 0.001418875
evaluation algorithm 0.0014147489999999999
different clusters 0.0013945720000000002
training set 0.001374944
neighboring words 0.0013560920000000001
test set 0.001351061
connectivity matrix 0.001347941
many corpus 0.001342295
based method 0.001340377
disambiguation algorithm 0.001336619
transition matrix 0.001329606
model order 0.0013271149999999998
matrix ydu 0.001310889
same class 0.00131035
order evaluation 0.0013086
labeling matrix 0.001302976
classification algorithm 0.001299323
other classes 0.001296284
matrix tij 0.001295769
identity matrix 0.001292892
ting matrix 0.001291779
matrix cρk 0.001291779
matrix cµρk 0.001291779
matrix cµk 0.001291779
clustering solution 0.001283438
cluster validation 0.0012722159999999998
identification method 0.001264282
senses 0.00126089
label information 0.001259773
cluster validity 0.001245228
cluster index 0.001245228
untagged corpus 0.0012434870000000002
automatic method 0.00124119
identification algorithm 0.001210643
clustering analysis 0.001205533
algorithm table 0.001200116
method ssubset 0.001189709
different sizes 0.001186436
different subsets 0.001178573
art method 0.001176075
clustering process 0.001164855
algorithm svm 0.001157038
svm algorithm 0.001157038
optimal number 0.0011566419999999998
