Paper: Improving Chinese Semantic Role Labeling with Rich Syntactic Features

ACL ID P10-2031
Title Improving Chinese Semantic Role Labeling with Rich Syntactic Features
Venue Annual Meeting of the Association of Computational Linguistics
Session Short Paper
Year 2010
Authors

Developing features has been shown cru- cial to advancing the state-of-the-art in Se- mantic Role Labeling (SRL). To improve Chinese SRL, we propose a set of ad- ditional features, some of which are de- signed to better capture structural infor- mation. Our system achieves 93.49 F- measure, a significant improvement over the best reported performance 92.0. We are further concerned with the effect of parsing in Chinese SRL. We empiri- cally analyze the two-fold effect, grouping words into constituents and providing syn- tactic information. We also give some pre- liminary linguistic explanations.