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.

• Type: Conference
• Year: 2008
• Where: COLING
• Authors: Kun Yu, Daisuke Kawahara, Sadao Kurohashi
• Keywords: Case Structures, COLING 2008, Computational Linguistics, Scale Case Structures, Small Tagged Corpus