Paper: Word Sense Disambiguation by Relative Selection

ACL ID I05-1080
Title Word Sense Disambiguation by Relative Selection
Venue International Joint Conference on Natural Language Processing
Session Main Conference
Year 2005

This paper describes a novel method for a word sense disam- biguation that utilizes relatives (i.e. synonyms, hypernyms, meronyms, etc in WordNet) of a target word and raw corpora. The method disam- biguates senses of a target word by selecting a relative that most prob- ably occurs in a new sentence including the target word. Only one co- occurrence frequency matrix is utilized to efficiently disambiguate senses of many target words. Experiments on several English datum present that our proposed method achieves a good performance.