Word sense disambiguation using Conceptual Density
Published 1 January 1996Open access
Eneko Agirre, Germán Rigau
Citations387
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TL;DR
The method relies on the use of 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, for the resolution of lexical ambiguity of nouns and its automatic evaluation over the Brown Corpus.
Abstract
This paper present a method for the resolution of lexical ambiguity of nouns and its automatic evaluation over the Brown Corpus. The method relies on the use of 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 evaluted against SemCor, the sense-tagged version of the Brown Corpus.
Keywords
Computer Science
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