Journal
INFORMATION SCIENCES
Volume 180, Issue 8, Pages 1313-1325Publisher
ELSEVIER SCIENCE INC
DOI: 10.1016/j.ins.2009.12.006
Keywords
Semantic relation extraction; Tree kernel-based methods; Context-sensitive convolution tree kernel; Rich semantic relation tree structure; Semantic information; Syntactic information
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Funding
- National Natural Science Foundation of China [60673041, 60873150, 60970056, 90920004]
- 863 National High-Tech Research and Development of China [2006AA01Z147]
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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. (C) 2009 Elsevier Inc. All rights reserved.
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