Automatic noun sense disambiguation

Authors:
Paolo Rosso;Francesco Masulli;Davide Buscaldi;Ferran Pla;Antonio Molina
Affiliations:
Dpto. de Sist. Informáticos y Computación, U. Politécnica de Valencia, Spain;INFM-Genova and Dip. di Informatica, Università di Pisa, Italy;Dip. di Informatica e Scienze dell'Informazione, Università di Genova, Italy;Dpto. de Sist. Informáticos y Computación, U. Politécnica de Valencia, Spain;Dpto. de Sist. Informáticos y Computación, U. Politécnica de Valencia, Spain
Venue:
CICLing'03 Proceedings of the 4th international conference on Computational linguistics and intelligent text processing
Year:
2003

Citing 2
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Abstract

This paper explores a fully automatic knowledge-based method which performs the noun sense disambiguation relying only on the WordNet ontology. The basis of the method is the idea of conceptual density, that is, the correlation between the sense of a given word and its context. A new formula for calculating the conceptual density was proposed and was evaluated on the SemCor corpus.