Paper: Chinese Dependency Parsing with Large Scale Automatically Constructed Case Structures

ACL ID C08-1132
Title Chinese Dependency Parsing with Large Scale Automatically Constructed Case Structures
Venue International Conference on Computational Linguistics
Session Main Conference
Year 2008
Authors

This paper proposes an approach using large scale case structures, which are automatically constructed from both a small tagged corpus and a large raw cor- pus, 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. Experimen- tal results based on Penn Chinese Tree- bank show the proposed approach achieved 87.26% on unlabeled attach- ment score, which significantly outper- formed the baseline parser without using case structures.