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Statistical parsing with an automatically-extracted tree adjoining grammar

Published: 03 October 2000 Publication History

Abstract

We discuss the advantages of lexicalized tree-adjoining grammar as an alternative to lexicalized PCFG for statistical parsing, describing the induction of a probabilistic LTAG model from the Penn Treebank and evaluating its parsing performance. We find that this induction method is an improvement over the EM-based method of (Hwa, 1998), and that the induced model yields results comparable to lexicalized PCFG.

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      cover image DL Hosted proceedings
      ACL '00: Proceedings of the 38th Annual Meeting on Association for Computational Linguistics
      October 2000
      598 pages

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      Association for Computational Linguistics

      United States

      Publication History

      Published: 03 October 2000

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      • (2012)Robust conversion of CCG derivations to phrase structure treesProceedings of the 50th Annual Meeting of the Association for Computational Linguistics: Short Papers - Volume 210.5555/2390665.2390692(105-109)Online publication date: 8-Jul-2012
      • (2012)Using supertags and encoded annotation principles for improved dependency to phrase structure conversionProceedings of the 2012 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies10.5555/2382029.2382067(305-314)Online publication date: 3-Jun-2012
      • (2011)Using derivation trees for treebank error detectionProceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies: short papers - Volume 210.5555/2002736.2002870(693-698)Online publication date: 19-Jun-2011
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