C04-1054 for existing NLP applications is automatic sense disambiguation . An automatic system can detect
W15-2002 substantial computational work on automatic sense disambiguation has been done . Recent prominent
W11-1717 POS category identifiers . For automatic sense disambiguation , we used the trained IWSD engine
W97-0209 of selectional constraints for automatic sense disambiguation in such broad-coverage settings
J87-3003 each node is followed . Without automatic sense disambiguation , taxonomic sprouting is thus
J90-3012 Helsinki corpus . S. Janssen : Automatic sense disambiguation with LDOCE . G. Kaye : A corpus
H92-1044 made more useful by some kind of automatic sense disambiguation . Also , training on the lexicographer
H92-1116 for use in testing proposals for automatic sense disambiguation . RECENT RESULTS The work falls
W07-1508 and high system performance in automatic sense disambiguation . We have demonstrated that clear
E93-1051 George C Demetriou 1 Introduction Automatic sense disambiguation has been recognised by the research
W95-0105 This paper presents a method for automatic sense disambiguation of nouns appearing within sets
W97-0206 et al. , 1992 ) estimate that automatic sense disambiguation would be at least 75 % correct
W99-0512 the performance of manual versus automatic sense disambiguation / sense filtering The set of
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