An adapted lesk algorithm for word sense disambiguation using wordnet

Satanjeev Banerjee, Ted Pedersen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

387 Scopus citations

Abstract

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.

Original languageEnglish (US)
Title of host publicationComputational Linguistics and Intelligent Text Processing - 3rd International Conference, CICLing 2002, Proceedings
EditorsAlexander Gelbukh
PublisherSpringer Verlag
Pages136-145
Number of pages10
ISBN (Print)3540432191, 9783540457152
DOIs
StatePublished - Jan 1 2002
Event3rd Annual Conference on Intelligent Text Processing and Computational Linguistics, CICLing 2002 - Mexico City, Mexico
Duration: Feb 17 2002Feb 23 2002

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2276
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other3rd Annual Conference on Intelligent Text Processing and Computational Linguistics, CICLing 2002
Country/TerritoryMexico
CityMexico City
Period2/17/022/23/02

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