Relating WordNet senses for word sense disambiguation

McCarthy, Diana (2006) Relating WordNet senses for word sense disambiguation. In: Proceedings of the ACL Workshop on Making Sense of Sense: Bringing Psycholinguistics and Computational Linguistics Together.

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The granularity of word senses in current general purpose sense inventories is often too �ne-grained, with narrow sense distinctions that are irrelevant for many NLP applications. This has particularly been a problem with WordNet which is widely used for word sense disambiguation (WSD). There have been several attempts to group WordNet senses given a number of different information sources in order to reduce granularity. We propose relating senses as a matter of degree to permit a softer notion of relationships between senses compared to �xed groupings so that granularity can be varied according to the needs of the application. We compare two such approaches with a gold-standard produced by humans for this work. We also contrast this goldstandard and another used in previous research with the automatic methods for relating senses for use with back-off methods for WSD.

Item Type: Conference or Workshop Item (Paper)
Schools and Departments: School of Engineering and Informatics > Informatics
Depositing User: Diana Frances McCarthy
Date Deposited: 06 Feb 2012 20:54
Last Modified: 13 Jun 2012 14:49
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