A Reexamination of MRD-Based Word Sense Disambiguation

  • Authors:

  • Timothy Baldwin;Sunam Kim;Francis Bond;Sanae Fujita;David Martinez;Takaaki Tanaka

  • Affiliations:

  • University of Melbourne;University of Melbourne;Nanyang Technological University;Nippon Telegraph and Telephone Corporation;NICTA Victoria Research Laboratories and University of Melbourne;Nippon Telegraph and Telephone West Corporation

  • Venue:
  • ACM Transactions on Asian Language Information Processing (TALIP)
  • Year:
  • 2010

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Abstract

This article reconsiders the task of MRD-based word sense disambiguation, in extending the basic Lesk algorithm to investigate the impact on WSD performance of different tokenization schemes and methods of definition extension. In experimentation over the Hinoki Sensebank and the Japanese Senseval-2 dictionary task, we demonstrate that sense-sensitive definition extension over hyponyms, hypernyms, and synonyms, combined with definition extension and word tokenization leads to WSD accuracy above both unsupervised and supervised baselines. In doing so, we demonstrate the utility of ontology induction and establish new opportunities for the development of baseline unsupervised WSD methods.