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• W2058756906 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." @default.
• W2058756906 created "2016-06-24" @default.
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• W2058756906 date "2010-04-01" @default.
• W2058756906 modified "2023-09-23" @default.
• W2058756906 title "Tree kernel-based semantic relation extraction with rich syntactic and semantic information" @default.
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• W2058756906 doi "https://doi.org/10.1016/j.ins.2009.12.006" @default.
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