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SENSE: an analogy-based Word Sense Disambiguation system

Published online by Cambridge University Press:  01 June 1999

STEFANO FEDERICI
Affiliation:
Istituto di Linguistica Computazionale, CNR, Pisa, Italy
SIMONETTA MONTEMAGNI
Affiliation:
Istituto di Linguistica Computazionale, CNR, Pisa, Italy
VITO PIRRELLI
Affiliation:
Istituto di Linguistica Computazionale, CNR, Pisa, Italy

Abstract

The paper describes SENSE, a word sense disambiguation system which makes use of multidimensional analogy-based proportions to infer the most likely sense of a word given its context. Architecture and functioning of the system are illustrated in detail. Results of different experimental settings are given, showing that the system, in spite its conservative bias, successfully copes with the problem of training data sparseness.

Type
Research Article
Copyright
1999 Cambridge University Press

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