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

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.