2002 | OriginalPaper | Buchkapitel
An Adapted Lesk Algorithm for Word Sense Disambiguation Using WordNet
verfasst von : Satanjeev Banerjee, Ted Pedersen
Erschienen in: Computational Linguistics and Intelligent Text Processing
Verlag: Springer Berlin Heidelberg
Enthalten in: Professional Book Archive
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This paper presents an adaptation of Lesk’s dictionarybased 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.