C92-1056 the algorithm may be applied to word-sense disambiguation . 3 . Word-Sense Disambiguation
C00-1028 lnodels are instead evaluated on a word-sense disambiguation test ( WSD ) . The idea is that
C90-3008 . The definitions displayed in word-sense disambiguation menus are similarly translatable
C02-1089 STW conversion in English is the word-sense disambiguation . There are basically two approaches
C00-1044 such as machine translation , word-sense disambiguation , and gen - eration . Some subjective
C02-1062 lexical acquisition as to perform word-sense disambiguation . This characteristic makes the
C96-2161 . This task may be similar to word-sense disambiguation , which deter - I | Hlles the
D08-1039 information criterion . Recently , word-sense disambiguation ( WSD ) methods have been shown
C04-1105 A sophisticated procedure for word-sense disambiguation or translation-word selection
C94-2118 describes and ewthlales a new word-sense disambiguation technique that is based on knowledge
C96-1055 algorithm . As an example of how the word-sense disambiguation process and classifcation , consider
C96-1055 hypothesized . This is a case where word-sense disambiguation has allowed us to classify a
C96-1055 program is the ability to perform word-sense disambiguation . We have used the results of
C96-1069 , i.e. WS.I . 3 Framework 3.1 Word-Sense Disambiguation Every sense of words in artMes
C04-1105 author developed for unsupervised word-sense disambiguation ( Kaji and Morimoto 2002 ) .
A97-1056 induction has been applied to word-sense disambiguation ( e.g. ( Black , 1988 ) and (
C04-1162 for unsupervised knowledge-based word-sense disambiguation that relies on PageRank - style
C92-2070 Theoretical abstract <figurecaption> Word-Sense Disambiguation Using Statistical Models of Roget
C92-1056 This paper describes a method for word-sense disambiguation based on the ample technique
D08-1109 cross-lingual links has been in word-sense disambiguation , where senses of words can be
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