Statistical agenda parsing

  • Authors:
  • Robert J. Bobrow

  • Affiliations:
  • -

  • Venue:
  • HLT '91 Proceedings of the workshop on Speech and Natural Language
  • Year:
  • 1991

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Abstract

This paper presents the results of converting a standard Graham/Harrison/Ruzzo (GHR) parser for a unification grammar into an agenda-driven parsing system. The agenda is controlled by statistical measures of grammar-rule likelihood obtained from a training set.The techniques in the agenda parser lead to substantial reductions in chart size and parse time, and can be applied to any chart-based parsing algorithm without hand-tuning.