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Article
Word Sense Disambiguation for Cross-Language Information Retrieval
ACM International Conference Proceeding Series, Proceedings of the Workshop on Student Research
  • X. Liu
  • T. Diamond
  • Anne R. Diekema, Utah State University
Document Type
Conference Paper
Publisher
Morgan Kaufmann Publishers Inc.
Publication Date
1-1-2000
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.
Comments
Originally published by Morgan Kaufmann Publishers Inc. Publisher's PDF available through remote link via ACM: Portal.
Citation Information
Liu, 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.