P07-2033 w. Definition 2 also performs wordsense disambiguation . 2.3 Word utterance ( context
D15-1208 VerbNet verb classes with WordNet wordsense disambiguation . Also stylistic features contribute
A97-1056 probabilistic model to perform wordsense disambiguation . We recommend AIC as the evaluation
W04-0849 class-based collocations to improve wordsense disambiguation . We do not address refinement
P94-1020 reasonably consider doing large-scale wordsense disambiguation , it is necessary to eliminate
W04-2116 can be seen as a special case of wordsense disambiguation ( WSD ) . As an example , refining
W04-0862 presents the Swarthmore College wordsense disambiguation system which was designed for
P07-2033 and POS tagging . To improve the wordsense disambiguation one could use the approach proposed
D10-1055 system . In this case , the lack of wordsense disambiguation for the substituted words results
P13-4028 Dirichlet Allocation , do not have a wordsense disambiguation challenge . Rus and Lintean (
P94-1020 approach has not been applied to wordsense disambiguation , there is a strong similarity
S10-1066 interface also used for such tasks as wordsense disambiguation and recognizing textual entailment
P92-1054 to provide data for our work on wordsense disambiguation and information retrieval . Our
H91-1023 developed a statistically-based wordsense disambiguation method as an integral component
W03-0411 can be framed as an instance of wordsense disambiguation ( WSD ) , where the semantic
C02-1156 including information extraction , wordsense disambiguation , and question answering . FrameNet
S01-1003 the example of ILK 's previous wordsense disambiguation system for English ( Veen - stra
W00-1320 are attacking the generalized wordsense disambiguation problem . Third , we call attention
D15-1208 resources ( performing WordNet wordsense disambiguation and using VerbNet verb classes
N10-1138 identification ( § 4 , not unlike wordsense disambiguation ) , and argument identification
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