Semantics-Driven Shallow Parsing for Chinese Semantic Role Labeling

Weiwei Sun

In: Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics, Short Papers. Annual Meeting of the Association for Computational Linguistics: Human Language Technologies (ACL-HLT-2010) July 11-16 Uppsala Sweden Seiten 103-108 Association for Computational Linguistics 2010.


One deficiency of current shallow parsing based Semantic Role Labeling (SRL) methods is that syntactic chunks are too small to effectively group words. To partially resolve this problem, we propose semantics-driven shallow parsing, which takes into account both syntactic structures and predicate-argument structures. We also introduce several new ``path'' features to improve shallow parsing based SRL method. Experiments indicate that our new method obtains a significant improvement over the best reported Chinese SRL result.


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Deutsches Forschungszentrum für Künstliche Intelligenz
German Research Center for Artificial Intelligence