Paper: Dependency-based Semantic Role Labeling of PropBank

ACL ID D08-1008
Title Dependency-based Semantic Role Labeling of PropBank
Venue Conference on Empirical Methods in Natural Language Processing
Session Main Conference
Year 2008

We present a PropBank semantic role label- ing system for English that is integrated with a dependency parser. To tackle the problem of joint syntactic–semantic analysis, the sys- tem relies on a syntactic and a semantic sub- component. The syntactic model is a projec- tive parser using pseudo-projective transfor- mations, and the semantic model uses global inference mechanisms on top of a pipeline of classifiers. The complete syntactic–semantic output is selected from a candidate pool gen- erated by the subsystems. We evaluate the system on the CoNLL- 2005 test sets using segment-based and dependency-based metrics. Using the segment-based CoNLL-2005 metric, our system achieves a near state-of-the-art F1 figure of 77.97 on the WSJ+Brown test set, or 78.84 if punctuation is treated cons...