Kernel-based semantic relation detection and classification via enriched parse tree structure |
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Authors: | Guo-Dong Zhou Qiao-Ming Zhu |
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Affiliation: | Guo-Dong Zhou Senior Member,CCF,Member,ACM,IEEE and Qiao-Ming Zhu,Senior Member,CCF NLP Lab,School of Computer Science and Technology,Soochow University,Suzhou 215006,China |
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Abstract: | This paper proposes a tree kernel method of semantic relation detection and classification(RDC) between named entities.It resolves two critical problems in previous tree kernel methods of RDC.First,a new tree kernel is presented to better capture the inherent structural information in a parse tree by enabling the standard convolution tree kernel with context-sensitiveness and approximate matching of sub-trees.Second,an enriched parse tree structure is proposed to well derive necessary structural information... |
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Keywords: | semantic relation detection and classification convolution tree kernel approximate matching context sensitiveness enriched parse tree structure |
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