SemEval-2010 task 14: Word sense induction & disambiguation

  • Authors:
  • Suresh Manandhar;Ioannis P. Klapaftis;Dmitriy Dligach;Sameer S. Pradhan

  • Affiliations:
  • University of York, UK;University of York, UK;University of Colorado;BBN Technologies Cambridge

  • Venue:
  • SemEval '10 Proceedings of the 5th International Workshop on Semantic Evaluation
  • Year:
  • 2010

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Abstract

This paper presents the description and evaluation framework of SemEval-2010 Word Sense Induction & Disambiguation task, as well as the evaluation results of 26 participating systems. In this task, participants were required to induce the senses of 100 target words using a training set, and then disambiguate unseen instances of the same words using the induced senses. Systems' answers were evaluated in: (1) an unsupervised manner by using two clustering evaluation measures, and (2) a supervised manner in a WSD task.