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NAACL
2007

An Information Retrieval Approach to Sense Ranking

10 years 5 months ago
An Information Retrieval Approach to Sense Ranking
In word sense disambiguation, choosing the most frequent sense for an ambiguous word is a powerful heuristic. However, its usefulness is restricted by the availability of sense-annotated data. In this paper, we propose an information retrieval-based method for sense ranking that does not require annotated data. The method queries an information retrieval engine to estimate the degree of association between a word and its sense descriptions. Experiments on the Senseval test materials yield state-ofthe-art performance. We also show that the estimated sense frequencies correlate reliably with native speakers’ intuitions.
Mirella Lapata, Frank Keller
Added 30 Oct 2010
Updated 30 Oct 2010
Type Conference
Year 2007
Where NAACL
Authors Mirella Lapata, Frank Keller
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