Paper: Word Sense Disambiguation Using Conceptual Density

ACL ID C96-1005
Title Word Sense Disambiguation Using Conceptual Density
Venue International Conference on Computational Linguistics
Session Main Conference
Year 1996
  • Eneko Agirre (University of the Basque Country, Donostia Spain)
  • German Rigau (Technical University of Catalonia, Barcelona Spain)

This paper presents a method for the resolution of lexical ambiguity of nouns and its automatic evaluation over the Brown Corpus. The method relies on the use oil' the wide-coverage noun taxonomy of WordNet and the notion of conceptual distance among concepts, captured by a Conceptual Density formula developed for this purpose. This fully automatic method requires no hand coding of lexical entries, hand tagging of text nor any kind of training process. The results of the experiments have been automatically evaluated against SemCor, the sense-tagged version of the Brown Corpus.