Tree kernel-based semantic relation extraction with rich syntactic and semantic information

Authors:
Guodong Zhou;Longhua Qian;Jianxi Fan
Affiliations:
School of Computer Science and Technology, Soochow University, 1 Shizi Street, Suzhou 215006, China;School of Computer Science and Technology, Soochow University, 1 Shizi Street, Suzhou 215006, China;School of Computer Science and Technology, Soochow University, 1 Shizi Street, Suzhou 215006, China
Venue:
Information Sciences: an International Journal
Year:
2010

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Abstract

This paper proposes a novel tree kernel-based method with rich syntactic and semantic information for the extraction of semantic relations between named entities. With a parse tree and an entity pair, we first construct a rich semantic relation tree structure to integrate both syntactic and semantic information. And then we propose a context-sensitive convolution tree kernel, which enumerates both context-free and context-sensitive sub-trees by considering the paths of their ancestor nodes as their contexts to capture structural information in the tree structure. An evaluation on the Automatic Content Extraction/Relation Detection and Characterization (ACE RDC) corpora shows that the proposed tree kernel-based method outperforms other state-of-the-art methods.