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2008

Chinese Dependency Parsing with Large Scale Automatically Constructed Case Structures

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Chinese Dependency Parsing with Large Scale Automatically Constructed Case Structures
This paper proposes an approach using large scale case structures, which are automatically constructed from both a small tagged corpus and a large raw corpus, to improve Chinese dependency parsing. The case structure proposed in this paper has two characteristics: (1) it relaxes the predicate of a case structure to be all types of words which behaves as a head; (2) it is not categorized by semantic roles but marked by the neighboring modifiers attached to a head. Experimental results based on Penn Chinese Treebank show the proposed approach achieved 87.26% on unlabeled attachment score, which significantly outperformed the baseline parser without using case structures.
Kun Yu, Daisuke Kawahara, Sadao Kurohashi
Added 29 Oct 2010
Updated 29 Oct 2010
Type Conference
Year 2008
Where COLING
Authors Kun Yu, Daisuke Kawahara, Sadao Kurohashi
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