Finding cars, goddesses and enzymes: parametrizable acquisition of labeled instances for open-domain information extraction

  • Authors:
  • Benjamin Van Durme;Marius Pasca

  • Affiliations:
  • University of Rochester, Rochester, New York;Google Inc., Mountain View, California

  • Venue:
  • AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 2
  • Year:
  • 2008

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Abstract

A method is given for the extraction of large numbers of semantic classes along with their corresponding instances. Based on the recombination of elements clustered through distributional similarity, experimental results show the procedure allows for a parametric trade-off between high precision and expanded recall.