Acquiring disambiguation rules from text

  • Authors:
  • Donald Hindle

  • Affiliations:
  • AT&T Bell Laboratories, Murray Hill, NJ

  • Venue:
  • ACL '89 Proceedings of the 27th annual meeting on Association for Computational Linguistics
  • Year:
  • 1989

Quantified Score

Hi-index 0.00

Visualization

Abstract

An effective procedure for automatically acquiring a new set of disambiguation rules for an existing deterministic parser on the basis of tagged text is presented. Performance of the automatically acquired rules is much better than the existing hand-written disambiguation rules. The success of the acquired rules depends on using the linguistic information encoded in the parser; enhancements to various components of the parser improves the acquired rule set. This work suggests a path toward more robust and comprehensive syntactic analyzers.