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Relating WordNet senses for word sense disambiguation

posted on 2023-06-08, 08:12 authored by Diana McCarthy
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.


Publication status

  • Published

Presentation Type

  • paper

Event name

Proceedings of the ACL Workshop on Making Sense of Sense: Bringing Psycholinguistics and Computational Linguistics Together

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  • Informatics Publications

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Peer reviewed?

  • Yes

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