Chinese Dependency Parse Based Semantic Role Labeling
Guodong Zhou · Zhongwen xinxi xuebao · 2010
Dependency representations are more simple and intuitive than constituent representations for Chinese parse.This paper implements a Chinese dependency parse based semantic role labeling(SRL) by using the similar methods in English SRL.In the system,effective pruning algorithm and useful features are adopted for Chinese dependency tree,and the semantic role identification and classification are accomplished by a maximum entropy classifier.Two different corpora are adopted to test our system,one is transferred from constituent-based corpus(CTB5.0),and the other is Chinese dataset provided by CoNLL 2009 shared task.Based on the two datasets,the system achieves,respectively,84.30% and 81.68% in labeled F1 for gold predicates,and 81.02% and 81.33% for automatic predicates.