Lexicalized Beam Thresholding Parsing with Prior and Boundary Estimates

  • Deyi Xiong
  • Qun Liu
  • Shouxun Lin
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3406)

Abstract

We use prior and boundary estimates as the approximation of outside probability and establish our beam thresholding strategies based on these estimates. Lexical items, e.g. head word and head tag, are also incorporated to lexicalized prior and boundary estimates. Experiments on the Penn Chinese Treebank show that beam thresholding with lexicalized prior works much better than that with unlexicalized prior. Differentiating completed edges from incomplete edges paves the way for using boundary estimates in the edge-based beam chart parsing. The beam thresholding based on lexicalized prior, combined with unlexicalized boundary, runs faster than that only with lexicalized prior by a factor of 1.5, at the same performance level.

Keywords

Prior Probability Lexical Item Prior Estimate Boundary Estimate Parsing Model 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Deyi Xiong
    • 1
    • 2
  • Qun Liu
    • 1
  • Shouxun Lin
    • 1
  1. 1.Institute of Computing TechnologyChinese Academy of SciencesBeijingChina
  2. 2.Graduate School of Chinese Academy of Sciences 

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