Paper: Sense Disambiguation Using Semantic Relations And Adjacency Information

ACL ID P95-1041
Title Sense Disambiguation Using Semantic Relations And Adjacency Information
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 1995
Authors

This paper describes a heuristic-based approach to word-sense disambiguation. The heuristics that are applied to disambiguate a word depend on its part of speech, and on its relationship to neighboring salient words in the text. Parts of speech are found through a tagger, and related neighboring words are identified by a phrase extractor operating on the tagged text. To suggest possible senses, each heuristic draws on semantic rela- tions extracted from a Webster's dictionary and the semantic thesaurus WordNet. For a given word, all applicable heuristics are tried, and those senses that are rejected by all heuristics are discarded. In all, the disam- biguator uses 39 heuristics based on 12 relationships.