Paper: Combining Constituent and Dependency Syntactic Views for Chinese Semantic Role Labeling

ACL ID C10-2076
Title Combining Constituent and Dependency Syntactic Views for Chinese Semantic Role Labeling
Venue International Conference on Computational Linguistics
Session Poster Session
Year 2010
Authors

This paper presents a novel feature- based semantic role labeling (SRL) method which uses both constituent and dependency syntactic views. Com- paring to the traditional SRL method relying on only one syntactic view, the method has a much richer set of syn- tactic features. First we select several important constituent-based and de- pendency-based features from existing studies as basic features. Then, we pro- pose a statistical method to select dis- criminative combined features which are composed by the basic features. SRL is achieved by using the SVM classifier with both the basic features and the combined features. Experimen- tal results on Chinese Proposition Bank (CPB) show that the method outper- forms the traditional constituent-based or dependency-based SRL methods.