Inferring semantic similarity from distributional evidence: an analogy-based approach to word sense disambiguation

FEDERICI, STEFANO;
1997-01-01

Abstract

The paper describes an analogy-based measure of word-sense proximity grounded on distributional evidence in typical contexts, and illustrates a computational system which makes use of this measure for purposes of lexical disambiguation. Experimental results show that word sense-analogy based on contexts of use compares favourably with classical word-sense similarity defined in terms of thesaural proximity.
1997
Inglese
Proceedings of the ACL/EACL Workshop on Automatic Information Extraction and Building of Lexical Semantic Resources for NLP Applications
Association for Computational Linguistics (ACL)
90
97
8
ACL/EACL Workshop on Automatic Information Extraction and Building of Lexical Semantic Resources for NLP Applications
contributo
Esperti anonimi
12 Luglio 1997
Madrid
internazionale
4 Contributo in Atti di Convegno (Proceeding)::4.1 Contributo in Atti di convegno
Federici, Stefano; Montemagni, S; Pirrelli, V.
273
3
4.1 Contributo in Atti di convegno
none
info:eu-repo/semantics/conferenceObject
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