SemEval-2007 task 04: classification of semantic relations between nominals

  • Authors:

  • Roxana Girju;Preslav Nakov;Vivi Nastase;Stan Szpakowicz;Peter Turney;Deniz Yuret

  • Affiliations:

  • Univ. of Illinois at Urbana-Champaign, Urbana, IL;Univ. of California at Berkeley, Berkeley, CA;EML Research gGmbH, Heidelberg, Germany;University of Ottawa, Ottawa, ON;National Research Council of Canada, Ottawa, ON;Koç University, Istanbul, Turkey

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

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Abstract

The NLP community has shown a renewed interest in deeper semantic analyses, among them automatic recognition of relations between pairs of words in a text. We present an evaluation task designed to provide a framework for comparing different approaches to classifying semantic relations between nominals in a sentence. This is part of SemEval, the 4th edition of the semantic evaluation event previously known as SensEval. We define the task, describe the training/test data and their creation, list the participating systems and discuss their results. There were 14 teams who submitted 15 systems.