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semantic relationship 0.0015414270000000002
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text corpus 0.0014467470000000002
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possible word 0.001366048
single word 0.0013325210000000001
brown corpus 0.0013170870000000002
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training set 0.001279014
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sense disambiguation 0.0011828329999999999
class level 0.001178875
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sense probabilities 0.001144873
several wordnet 0.0011321880000000001
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wordnet frames 0.001044671
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precision measures 0.001013264
good results 0.001013077
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same time 0.001009133
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same grid 9.89725E-4
class splitting 9.85867E-4
other hand 9.84589E-4
other mea 9.82812E-4
other synsets 9.67305E-4
other translations 9.67303E-4
similarity measure 9.663370000000001E-4
net senses 9.628519999999999E-4
strong results 9.52506E-4
wordnet synset 9.467060000000001E-4
related words 9.42916E-4
second voting 9.277630000000001E-4
same levin 9.25739E-4
lexical resources 9.11727E-4
frequent wordnet 9.0956E-4
automatic tagging 9.047040000000001E-4
senses semsim 9.04579E-4
ing set 8.9816E-4
corresponding wordnet 8.98144E-4
full set 8.95249E-4
precision scores 8.88264E-4
total set 8.868E-4
lexical selection 8.76197E-4
old wordnet 8.715140000000001E-4
threshold voting 8.70849E-4
english verbs 8.67212E-4
human tagging 8.659360000000001E-4
such applications 8.65385E-4
target language 8.59073E-4
majority voting 8.56426E-4
basic voting 8.55926E-4
frequency counts 8.52018E-4
