WORDNET makes a great number of fine-grained word sense distinctions. However, what could be seen as an advantage has often been considered a problem from a computational point of view. A great number of sense distinctions makes harder the problem of word sense disambiguation. One way to face this issue is reducing the number of senses, for example by grouping them into equivalence classes which abstract on some aspects of the meanings of words. In this paper we will try a different approach. Although we recognize that some sense distinctions in WORDNET are dubious, we prefer to keep the semantic richness of WORDNET and to make some proposals to extend it in order to make the task of word sense disambiguation easier

Coping with WordNet Sense Proliferation

Magnini, Bernardo;Pianta, Emanuele;Strapparava, Carlo
1998-01-01

Abstract

WORDNET makes a great number of fine-grained word sense distinctions. However, what could be seen as an advantage has often been considered a problem from a computational point of view. A great number of sense distinctions makes harder the problem of word sense disambiguation. One way to face this issue is reducing the number of senses, for example by grouping them into equivalence classes which abstract on some aspects of the meanings of words. In this paper we will try a different approach. Although we recognize that some sense distinctions in WORDNET are dubious, we prefer to keep the semantic richness of WORDNET and to make some proposals to extend it in order to make the task of word sense disambiguation easier
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11582/1692
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
social impact