Paper: Meaningful Clustering Of Senses Helps Boost Word Sense Disambiguation Performance

ACL ID P06-1014
Title Meaningful Clustering Of Senses Helps Boost Word Sense Disambiguation Performance
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2006
Authors

Fine-grained sense distinctions are one of the major obstacles to successful Word Sense Disambiguation. In this paper, we present a method for reducing the granularity of the WordNet sense inven- tory based on the mapping to a manually crafted dictionary encoding sense hierar- chies, namely the Oxford Dictionary of English. We assess the quality of the map- ping and the induced clustering, and eval- uate the performance of coarse WSD sys- tems in the Senseval-3 English all-words task.