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An adapted Lesk algorithm for word sense disambiguation using WordNet. (English) Zbl 1044.68819
Gelbukh, Alexander (ed.), Computational linguistics and intelligent text processing. 3rd international conference, CICLing 2002, Mexico City, Mexico, February 17–23, 2002. Proceedings. Berlin: Springer (ISBN 3-540-43219-1). Lect. Notes Comput. Sci. 2276, 136-145 (2002).
Summary: This paper presents an adaptation of Lesk’s dictionary-based word sense disambiguation algorithm. Rather than using a standard dictionary as the source of glosses for our approach, the lexical database WordNet is employed. This provides a rich hierarchy of semantic relations that our algorithm can exploit. This method is evaluated using the English lexical sample data from the SENSEVAL-2 word sense disambiguation exercise, and attains an overall accuracy of 32%. This represents a significant improvement over the 16% and 23% accuracy attained by variations of the Lesk algorithm used as benchmarks during the SENSEVAL-2 comparative exercise among word sense disambiguation systems.
For the entire collection see [Zbl 0988.00081].

MSC:
68T50 Natural language processing
Software:
WordNet
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