Enhancing Best Analysis Selection and Parser Comparison

  • Authors:
  • Ales Horák;Vladimír Kadlec;Pavel Smrz

  • Affiliations:
  • -;-;-

  • Venue:
  • TSD '02 Proceedings of the 5th International Conference on Text, Speech and Dialogue
  • Year:
  • 2002

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Abstract

This paper discusses methods enhancing the selection of a "best" parsing tree from the output of natural language syntactic analysis. It presents a method for cutting away redundant parse trees based on the information obtained from a dependency tree-bank corpus.The effectivity of the enhanced parser is demonstrated by results of inter-system parser comparison. The test were run on the standard evaluation grammars (ATIS, CT and PT), our system outperforms the referential implementations.