A Graph-Based Method to Improve WordNet Domains

  • Aitor González
  • German Rigau
  • Mauro Castillo
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7181)

Abstract

WordNet Domains (WND) is a lexical resource where synsets have been semi-automatically annotated with one or more domain labels from a set of 170 hierarchically organized domains. The uses of WND include the power to reduce the polysemy degree of the words, grouping those senses that belong to the same domain. This paper presents a novel automatic method to propagate domain information through WordNet. We compare both labellings (the original and the new one) allowing us to detect anomalies in the original WND labels. We also compare the quality of both resources (the original labelling and the new one) in a common Word Sense Disambiguation task. The results show that the new labelling clearly outperform the original one by a large margin.

Keywords

Word Sense Disambiguation Computational Linguistics Lexical Resource PageRank Vector Weight Domain 
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 2012

Authors and Affiliations

  • Aitor González
    • 1
  • German Rigau
    • 1
  • Mauro Castillo
    • 2
  1. 1.IXA group UPV/EHUDonostiaSpain
  2. 2.UTEMSantiago de ChileChile

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