Integrating pattern-based and distributional similarity methods for lexical entailment acquisition

  • Authors:
  • Shachar Mirkin;Ido Dagan;Maayan Geffet

  • Affiliations:
  • The Hebrew University, Jerusalem, Israel;Bar-Ilan University, Ramat Gan, Israel;Bar-Ilan University, Ramat Gan, Israel

  • Venue:
  • COLING-ACL '06 Proceedings of the COLING/ACL on Main conference poster sessions
  • Year:
  • 2006

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Abstract

This paper addresses the problem of acquiring lexical semantic relationships, applied to the lexical entailment relation. Our main contribution is a novel conceptual integration between the two distinct acquisition paradigms for lexical relations - the pattern-based and the distributional similarity approaches. The integrated method exploits mutual complementary information of the two approaches to obtain candidate relations and informative characterizing features. Then, a small size training set is used to construct a more accurate supervised classifier, showing significant increase in both recall and precision over the original approaches.