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Two Web-Based Approaches for Noun Sense Disambiguation

  • Paolo Rosso
  • Manuel Montes-y-Gómez
  • Davide Buscaldi
  • Aarón Pancardo-Rodríguez
  • Luis Villaseñor Pineda
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3406)

Abstract

The problem of the resolution of the lexical ambiguity seems to be stuck because of the knowledge acquisition bottleneck. Therefore, it is worthwhile to investigate the possibility of using the Web as a lexical resource. This paper explores two attempts of using Web counts collected through a search engine. The first approach calculates the hits of each possible synonym of the noun to disambiguate together with the nouns of the context. In the second approach the disambiguation of a noun uses a modifier adjective as supporting evidence. A better precision than the baseline was obtained using adjective-noun pairs, even if with a low recall. A comprehensive set of weighting formulae for combining Web counts was investigated in order to give a complete picture of what are the various possibilities, and what are the formulae that work best. The comparison across different search engines was also useful: Web counts, and consequently disambiguation results, were almost identical. Moreover, the Web seems to be more effective than the WordNet Domains lexical resource if integrated rather than stand-alone.

Keywords

Search Engine Word Sense Disambiguation Lexical Ambiguity Lexical Resource Anaphora Resolution 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Paolo Rosso
    • 1
  • Manuel Montes-y-Gómez
    • 1
    • 2
  • Davide Buscaldi
    • 3
  • Aarón Pancardo-Rodríguez
    • 2
  • Luis Villaseñor Pineda
    • 2
  1. 1.Dpto. de Sistemas Informáticos y Computación (DSIC)Universidad Politécnica de ValenciaSpain
  2. 2.Lab. de Tecnologías del LenguajeInstituto Nacional de Astrofísica, Optica y ElectrónicaMexico
  3. 3.Dipartimento di Informatica e Scienze dell’Informazione (DISI)Università di GenovaItaly

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