Statistical sentence condensation using ambiguity packing and stochastic disambiguation methods for Lexical-Functional Grammar

  • Authors:

  • Stefan Riezler;Tracy H. King;Richard Crouch;Annie Zaenen

  • Affiliations:

  • Palo Alto Research Center, Palo Alto, CA;Palo Alto Research Center, Palo Alto, CA;Palo Alto Research Center, Palo Alto, CA;Palo Alto Research Center, Palo Alto, CA

  • Venue:
  • NAACL '03 Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology - Volume 1
  • Year:
  • 2003

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Abstract

We present an application of ambiguity packing and stochastic disambiguation techniques for Lexical-Functional Grammars (LFG) to the domain of sentence condensation. Our system incorporates a linguistic parser/generator for LFG, a transfer component for parse reduction operating on packed parse forests, and a maximum-entropy model for stochastic output selection. Furthermore, we propose the use of standard parser evaluation methods for automatically evaluating the summarization quality of sentence condensation systems. An experimental evaluation of summarization quality shows a close correlation between the automatic parse-based evaluation and a manual evaluation of generated strings. Overall summarization quality of the proposed system is state-of-the-art, with guaranteed grammaticality of the system output due to the use of a constraint-based parser/generator.