Word sense disambiguation for cross-language information retrieval

Authors:
Mary Xiaoyong Liu;Ted Diamond;Anne R. Diekema
Affiliations:
Syracuse University, Syracuse, NY;Syracuse University, Syracuse, NY;Syracuse University, Syracuse, NY
Venue:
Proceedings of the workshop on Student research
Year:
2000

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Abstract

We have developed a word sense disambiguation algorithm, following Cheng and Wilensky (1997), to disambiguate among WordNet synsets. This algorithm is to be used in a cross-language information retrieval system, CINDOR, which indexes queries and documents in a language-neutral concept representation based on WordNet synsets. Our goal is to improve retrieval precision through word sense disambiguation. An evaluation against human disambiguation judgements suggests promise for our approach.