Word Sense Disambiguation for Cross-Language Information RetrievalACM International Conference Proceeding Series, Proceedings of the Workshop on Student Research
Document TypeConference Paper
PublisherMorgan Kaufmann Publishers Inc.
AbstractWe 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.
Citation InformationLiu, X., Diamond, T., and Diekema, A. Word Sense Disambiguation for Cross-Language Information Retrieval. In: Proceedings of the ANLP-NAACL2000 Student Research Workshop. Seattle, WA. Association for Computational Linguistics, 2000.