UBC-UMB: combining unsupervised and supervised systems for all-words WSD

  • Authors:
  • David Martinez;Timothy Baldwin;Eneko Agirre;Oier Lopez de Lacalle

  • Affiliations:
  • University of Melbourne, Victoria, Australia;University of Melbourne, Victoria, Australia;Univ. of the Basque Country, Donostia, Basque Country;Univ. of the Basque Country, Donostia, Basque Country

  • Venue:
  • SemEval '07 Proceedings of the 4th International Workshop on Semantic Evaluations
  • Year:
  • 2007

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Abstract

This paper describes the joint submission of two systems to the all-words WSD sub-task of SemEval-2007 task 17. The main goal of this work was to build a competitive unsupervised system by combining heterogeneous algorithms. As a secondary goal, we explored the integration of unsupervised predictions into a supervised system by different means.