MELB-MKB: lexical substitution system based on relatives in context

  • Authors:
  • David Martinez;Su Nam Kim;Timothy Baldwin

  • Affiliations:
  • University of Melbourne, Victoria, Australia;University of Melbourne, Victoria, Australia;University of Melbourne, Victoria, Australia

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

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Abstract

In this paper we describe the MELB-MKB system, as entered in the SemEval-2007 lexical substitution task. The core of our system was the "Relatives in Context" unsupervised approach, which ranked the candidate substitutes by web-lookup of the word sequences built combining the target context and each substitute. Our system ranked third in the final evaluation, performing close to the top-ranked system.