Preposition senses: generalized disambiguation model

Authors:
Chutima Boonthum;Shunichi Toida;Irwin Levinstein
Affiliations:
Department of Computer Science, Old Dominion University, Norfolk, Virginia;Department of Computer Science, Old Dominion University, Norfolk, Virginia;Department of Computer Science, Old Dominion University, Norfolk, Virginia
Venue:
CICLing'06 Proceedings of the 7th international conference on Computational Linguistics and Intelligent Text Processing
Year:
2006

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Abstract

Our previous study on disambiguating the preposition “with” (using WordNet for hypernym and meronym relations, LCS for verb and preposition lexical information, and features of head and complement) looked promising enough to warrant study for other prepositions. Through investigation of ten frequently used prepositions, this paper describes general senses of prepositions and sense-case definitions, introduces a novel generalized sense disambiguation model, and demonstrates how this benefits a paraphrase recognition system.