Ontologizing semantic relations

  • Authors:
  • Marco Pennacchiotti;Patrick Pantel

  • Affiliations:
  • University of Rome "Tor Vergata", Rome, Italy;University of Southern California, Marina del Rey, CA

  • Venue:
  • ACL-44 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics
  • Year:
  • 2006

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Abstract

Many algorithms have been developed to harvest lexical semantic resources, however few have linked the mined knowledge into formal knowledge repositories. In this paper, we propose two algorithms for automatically ontologizing (attaching) semantic relations into WordNet. We present an empirical evaluation on the task of attaching part-of and causation relations, showing an improvement on F-score over a baseline model.