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 informationFile in questo prodotto:
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