Title

Usingweb Selectors For The Disambiguation Of Allwords

Abstract

This research examines a word sense disambiguation method using selectors acquired from theWeb. Selectors describe words which may take the place of another given word within its local context. Work in usingWeb selectors for noun sense disambiguation is generalized into the disambiguation of verbs, adverbs, and adjectives as well. Additionally, this work incorporates previously ignored adverb context selectors and explores the effectiveness of each type of context selector according to its part of speech. Overall results for verb, adjective, and adverb disambiguation are well above a random baseline and slightly below the most frequent sense baseline, a point which noun sense disambiguation overcomes. Our experiments find that, for noun and verb sense disambiguation tasks, each type of context selector may assist target selectors in disambiguation. Finally, these experiments also help to draw insights about the future direction of similar research.

Publication Date

1-1-2009

Publication Title

SEW 2009 - Semantic Evaluations: Recent Achievements and Future Directions at the 2009 North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL HLT 2009 - Proceedings

Number of Pages

28-36

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

Socpus ID

84904856073 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/84904856073

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