Paper: An Information Retrieval Approach to Sense Ranking

ACL ID N07-1044
Title An Information Retrieval Approach to Sense Ranking
Venue Human Language Technologies
Session Main Conference
Year 2007
Authors

In word sense disambiguation, choosing the most frequent sense for an ambigu- ouswordisapowerfulheuristic.However, its usefulness is restricted by the availabil- ity of sense-annotated data. In this paper, we propose an information retrieval-based method for sense ranking that does not re- quire 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-of- the-artperformance.Wealsoshowthatthe estimated sense frequencies correlate reli- ably with native speakers’ intuitions.