Word Sense Disambiguation for Cross-Language Information Retrieval

Authors

X. Liu
T. Diamond
Anne R. Diekama, Utah State UniversityFollow

Document Type

Conference Paper

Journal/Book Title/Conference

ACM International Conference Proceeding Series, Proceedings of the Workshop on Student Research

Volume

5

Publisher

Morgan Kaufmann Publishers Inc.

Publication Date

2000

First Page

35

Last Page

40

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.

Recommended Citation

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.