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The role of domain information in Word Sense Disambiguation

Published online by Cambridge University Press:  22 January 2003

BERNARDO MAGNINI ,
CARLO STRAPPARAVA ,
GIOVANNI PEZZULO  and
ALFIO GLIOZZO
BERNARDO MAGNINI
Affiliation:
ITC-irst, Istituto per la Ricerca Scientifica e Tecnologica, I-38050 Trento, Italy e-mail: magnini@itc.it, strappa@itc.it, pezzulo@itc.it, gliozzo@itc.it
CARLO STRAPPARAVA
Affiliation:
ITC-irst, Istituto per la Ricerca Scientifica e Tecnologica, I-38050 Trento, Italy e-mail: magnini@itc.it, strappa@itc.it, pezzulo@itc.it, gliozzo@itc.it
GIOVANNI PEZZULO
Affiliation:
ITC-irst, Istituto per la Ricerca Scientifica e Tecnologica, I-38050 Trento, Italy e-mail: magnini@itc.it, strappa@itc.it, pezzulo@itc.it, gliozzo@itc.it
ALFIO GLIOZZO
Affiliation:
ITC-irst, Istituto per la Ricerca Scientifica e Tecnologica, I-38050 Trento, Italy e-mail: magnini@itc.it, strappa@itc.it, pezzulo@itc.it, gliozzo@itc.it
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Abstract

This paper explores the role of domain information in word sense disambiguation. The underlying hypothesis is that domain labels, such as MEDICINE, ARCHITECTURE and SPORT, provide a useful way to establish semantic relations among word senses, which can be profitably used during the disambiguation process. Results obtained at the SENSEVAL-2 initiative confirm that for a significant subset of words domain information can be used to disambiguate with a very high level of precision.

Information

Type
Research Article
Information
Natural Language Engineering , Volume 8 , Issue 4 , December 2002 , pp. 359 - 373
Copyright
2002 Cambridge University Press

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