On learning more appropriate Selectional Restrictions

  • Authors:
  • Francesc Ribas

  • Affiliations:
  • Universitat Politècnica de Catalunya, Pau Gargallo, Barcelona, Spain

  • Venue:
  • EACL '95 Proceedings of the seventh conference on European chapter of the Association for Computational Linguistics
  • Year:
  • 1995

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Abstract

We present some variations affecting the association measure and thresholding on a technique for learning Selectional Restrictions from on-line corpora. It uses a wide-coverage noun taxonomy and a statistical measure to generalize the appropriate semantic classes. Evaluation measures for the Selectional Restrictions learning task are discussed. Finally, an experimental evaluation of these variations is reported.