Paper: Word Sense Disambiguation Improves Information Retrieval

ACL ID P12-1029
Title Word Sense Disambiguation Improves Information Retrieval
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2012

Previous research has conflicting conclu- sions on whether word sense disambiguation (WSD) systems can improve information re- trieval (IR) performance. In this paper, we propose a method to estimate sense distribu- tions for short queries. Together with the senses predicted for words in documents, we propose a novel approach to incorporate word senses into the language modeling approach to IR and also exploit the integration of syn- onym relations. Our experimental results on standard TREC collections show that using the word senses tagged by a supervised WSD sys- tem, we obtain significant improvements over a state-of-the-art IR system.