Using Relevant Domains Resource for Word Sense Disambiguation

نویسندگان

  • Sonia Vázquez
  • Andrés Montoyo
  • German Rigau
چکیده

This paper presents a new method for Word Sense Disambiguation based on the WordNet Domains lexical resource [4]. The underlaying working hypothesis is that domain labels, such as ARCHITECTURE, SPORT and MEDICINE provide a natural way to establish semantic relations between word senses, that can be used during the disambiguation process. This resource has already been used on Word Sense Disambiguation [5], but it has not made use of glosses information. Thus, we present in first place, a new lexical resource based on WordNet Domains glosses information, named " Relevant Domains ". In second place, we describe a new method for WSD based on this new lexical resource (" Relevant Domains "). And finally, we evaluate the new method with English all­words task of SENSEVAL­2, obtaining promising results.

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تاریخ انتشار 2004