Improving Chinese Semantic Role Labeling with Rich Syntactic Features

Weiwei Sun

In: Proceedings of the ACL 2010 Conference Short Papers. Annual Meeting of the Association for Computational Linguistics: Human Language Technologies (ACL-HLT-2010) July 11-16 Uppsala Sweden Association for Computational Linguistics 2010.


Developing features has been shown crucial to advancing the state-of-the-art in Semantic Role Labeling (SRL). To improve Chinese SRL, we propose a set of additional features, some of which are designed to better capture structural information. 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 empirically analyze the two-fold effect, grouping words into constituents and providing syntactic information. We also give some preliminary linguistic explanations.


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Deutsches Forschungszentrum für Künstliche Intelligenz
German Research Center for Artificial Intelligence