word sense 0.0041697999999999995
sense disambiguation 0.0030826599999999997
frequent sense 0.0028986819999999996
possible sense 0.0028635059999999996
sense baseline 0.0028630649999999997
sense ambiguity 0.002804616
majority sense 0.0028006339999999998
sense reposi 0.0027662109999999998
sense distinctions 0.002766096
jority sense 0.002764212
sense repositories 0.002764212
sense 0.00251852
target word 0.002000742
source word 0.001994465
ambiguous word 0.001946433
content words 0.001906245
different senses 0.001893372
stop words 0.001857121
cent words 0.0017940809999999999
ping words 0.0017940809999999999
guous words 0.0017940809999999999
several knowledge 0.001758654
work wsd 0.001673398
wsd systems 0.001667985
knowledge sources 0.00160397
wsd models 0.001586542
knowledge representation 0.001577142
new knowledge 0.001550192
words 0.00154752
various knowledge 0.0015463579999999998
wsd approaches 0.001536477
different examples 0.001529358
such data 0.001518981
evaluation system 0.00150899
different task 0.001490144
specific knowledge 0.001485139
other learning 0.001460486
training set 0.0014591650000000001
linguistic knowledge 0.001451467
relational knowledge 0.0014445399999999998
shallow knowledge 0.001442867
limited knowledge 0.001440504
background knowledge 0.0014383249999999998
deep knowledge 0.0014360889999999998
guistic knowledge 0.001430563
other approach 0.0013874450000000002
test set 0.0013849259999999999
learning algorithm 0.001363771
wsd module 0.001361659
ing information 0.0013361369999999998
different domains 0.001309462
different rules 0.00129232
same set 0.001290279
sample data 0.001283164
possible senses 0.0012758399999999999
translation system 0.001256542
senseval data 0.001237649
different applications 0.001236441
data sparseness 0.001219354
multilingual task 0.001203697
knowledge 0.00118576
statistical information 0.001185108
learning algorithms 0.001177816
other approaches 0.00114444
ing algorithm 0.001142946
machine learning 0.001135653
disambiguation examples 0.00113098
context features 0.001130279
other machine 0.001123013
supervised learning 0.001119082
information retrieval 0.0011153790000000001
tagging system 0.00111403
many examples 0.0011090079999999999
evaluation strategy 0.001101895
semantic type 0.001101536
syntactic relations 0.001099361
system user 0.001097878
sample set 0.0010830219999999999
ilp system 0.001077309
other sets 0.001076864
corpus instances 0.001072553
semantic parsing 0.001072506
general approach 0.001069999
information extraction 0.001068238
operational system 0.001058087
corresponding set 0.001056245
rich set 0.001052059
learning process 0.001051946
wide context 0.001051268
lexical resources 0.001050828
english setting 0.001047212
training sets 0.001044872
multilingual setting 0.001041452
disambiguation models 0.001034722
good results 0.001031022
particular language 0.0010254
limited set 0.001021978
example sentence 0.001017297
disambiguation problem 0.001012169
translation disambiguation 0.00100898
