word sense 0.00558417
different sense 0.004806775
corpus sense 0.004703313000000001
first sense 0.004550846
sense semcor 0.004523791
target sense 0.00450144
sense bias 0.00445815
sense distribution 0.004288507
main sense 0.0042610090000000005
sense rank 0.0042252800000000005
major sense 0.004221538
sense distributions 0.0042207650000000005
sense heuristic 0.0042066510000000005
frequent sense 0.0042044610000000005
sense inventory 0.0041821900000000006
sense disam 0.004174906
sense 0.00388899
word senses 0.002675978
target word 0.0023076299999999998
wordnet word 0.002283528
word web 0.0021144379999999997
word term 0.002015122
word window 0.002013769
training data 0.00199999
certain word 0.001979215
target words 0.00196312
dividual word 0.001958735
word loc 0.0019575169999999998
different senses 0.001898583
many words 0.001874791
wsd systems 0.001790018
different corpus 0.001732108
wsd methods 0.001719594
test data 0.001710311
semcor data 0.0017069110000000002
testing words 0.001703314
supervised wsd 0.001699989
learning system 0.0016715929999999999
surrounding words 0.001667072
wsd algorithms 0.001659696
training examples 0.001656705
noun senses 0.0016481830000000001
ambiguous words 0.001645901
other senses 0.001602281
wsd tasks 0.0016016070000000001
supervised data 0.001578769
unsupervised system 0.001567401
recent wsd 0.001554667
same system 0.001528617
training bias 0.0014970399999999998
different bias 0.001486945
data source 0.001480169
different research 0.001476157
wsd exercises 0.001458011
different corpora 0.0014486619999999999
target corpus 0.001426773
supervised system 0.001409876
sample data 0.0014072070000000002
test set 0.001377963
test examples 0.001367026
words 0.00135067
different tasks 0.001326062
training part 0.0012974459999999998
training instances 0.001295061
first approach 0.001294127
few senses 0.001284284
ing examples 0.001281322
senseval training 0.001280329
bias information 0.001278421
lexical task 0.001269781
same test 0.001263601
unsupervised systems 0.001260872
many examples 0.001252946
different distributions 0.0012495599999999998
machine learning 0.0012453339999999999
semcor church 0.001244326
web corpus 0.001233581
learning method 0.001228345
different ways 0.001226106
other systems 0.001218171
recall training 0.001210334
bias semcor 0.001203961
semcor bias 0.001203961
monosemous corpus 0.001199561
first methods 0.00118812
same number 0.001182083
target bias 0.00118161
first task 0.001178661
uned system 0.001166631
corpora semcor 0.001165678
web set 0.00115902
web examples 0.001148083
other methods 0.0011477470000000002
supervised approach 0.00113893
bias bias 0.00113832
basic set 0.001133618
unsupervised method 0.001124153
bnc corpus 0.001114881
supervised systems 0.001103347
feature type 0.001099859
