Domain information has been regarded as an emerging topic of interest in relation to WordNet. A lexical resource, WordNet Domain, is presented, where WordNet synsets have been annotated with domain labels such as medicine, Architecture and Sport. This annotation reflects the lexico-semantic criteria adopted by humans involved in the annotation. However, from a corpus-based perspective, domains reflect term distribution in a given text collection. The paper proposes a preliminary investigation aiming at comparing and integrating ontology-based and corpus-based domain information

Comparing Ontology-Based and Corpus-Based Domain Annotations in WordNet

Magnini, Bernardo;Strapparava, Carlo;Pezzulo, Giovanni;Gliozzo, Alfio Massimiliano
2002-01-01

Abstract

Domain information has been regarded as an emerging topic of interest in relation to WordNet. A lexical resource, WordNet Domain, is presented, where WordNet synsets have been annotated with domain labels such as medicine, Architecture and Sport. This annotation reflects the lexico-semantic criteria adopted by humans involved in the annotation. However, from a corpus-based perspective, domains reflect term distribution in a given text collection. The paper proposes a preliminary investigation aiming at comparing and integrating ontology-based and corpus-based domain information
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/11582/456
 Attenzione

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

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