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Kernel-based semantic relation detection and classification via enriched parse tree structure
Authors:Guo-Dong Zhou  Qiao-Ming Zhu
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
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...
Keywords:semantic relation detection and classification  convolution tree kernel  approximate matching  context sensitiveness  enriched parse tree structure  
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