Publikation

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.

Abstrakt

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.

Projekte

Weitere Links

Deutsches Forschungszentrum für Künstliche Intelligenz
German Research Center for Artificial Intelligence