Semeval-2007 task 02: evaluating word sense induction and discrimination systems

  • Authors:
  • Eneko Agirre;Aitor Soroa

  • Affiliations:
  • 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

The goal of this task is to allow for comparison across sense-induction and discrimination systems, and also to compare these systems to other supervised and knowledge-based systems. In total there were 6 participating systems. We reused the SemEval-2007 English lexical sample subtask of task 17, and set up both clustering-style unsupervised evaluation (using OntoNotes senses as gold-standard) and a supervised evaluation (using the part of the dataset for mapping). We provide a comparison to the results of the systems participating in the lexical sample subtask of task 17.