An improved redundancy elimination algorithm for underspecified representations

  • Authors:
  • Alexander Koller;Stefan Thater

  • Affiliations:
  • Universität des Saarlandes, Saarbrücken, Germany;Universität des Saarlandes, Saarbrücken, Germany

  • 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

We present an efficient algorithm for the redundancy elimination problem: Given an underspecified semantic representation (USR) of a scope ambiguity, compute an USR with fewer mutually equivalent readings. The algorithm operates on underspecified chart representations which are derived from dominance graphs; it can be applied to the USRs computed by large-scale grammars. We evaluate the algorithm on a corpus, and show that it reduces the degree of ambiguity significantly while taking negligible runtime.