Paper: Improving Nominal SRL in Chinese Language with Verbal SRL Information and Automatic Predicate Recognition

ACL ID D09-1133
Title Improving Nominal SRL in Chinese Language with Verbal SRL Information and Automatic Predicate Recognition
Venue Conference on Empirical Methods in Natural Language Processing
Session Main Conference
Year 2009
Authors

This paper explores Chinese semantic role la- beling (SRL) for nominal predicates. Besides those widely used features in verbal SRL, various nominal SRL-specific features are first included. Then, we improve the perform- ance of nominal SRL by integrating useful features derived from a state-of-the-art verbal SRL system. Finally, we address the issue of automatic predicate recognition, which is es- sential for a nominal SRL system. Evaluation on Chinese NomBank shows that our research in integrating various features derived from verbal SRL significantly improves the per- formance. It also shows that our nominal SRL system much outperforms the state-of-the-art ones.