Paper: Word Sense Disambiguation Of Adjectives Using Probabilistic Networks

ACL ID C00-1023
Title Word Sense Disambiguation Of Adjectives Using Probabilistic Networks
Venue International Conference on Computational Linguistics
Session Main Conference
Year 2000
Authors

In this paper, word sense dismnbiguation (WSD) ac- curacy achievable by a probabilistic classifier, using very milfimal training sets, is investigated. Ve made the assuml)tiou that there are no tagged corpora available and identified what information, needed by an accurate WSD system, can and cmmot be auto- matically obtained. The lesson learned can then be used to locus on what knowledge needs malmal an- notation. Our system, named Bayesian Hierarchical Disambiguator (BHD), uses the Internet, arguably tile largest corlms in existence, to address the st)arse data problem, and uses WordNet's hierarchy tbr se- mantic contextual features. In addition, Bayesian networks are automatically constructed to represent knowledge learned from training sets by lnodeling the selectional i)retbrence of a...