郭喜跃,何婷婷,胡小华,陈前军. 基于句法语义特征的中文实体关系抽取[J]. 中文信息学报, 2014, 28(6): 183-189.
GUO Xiyue, HE Tingting , HU Xiaohua, CHEN Qianjun. Chinese Named Entity Relation Extraction Based on Syntactic and Semantic Features. , 2014, 28(6): 183-189.
Chinese Named Entity Relation Extraction Based on Syntactic and Semantic Features
GUO Xiyue1,3, HE Tingting2 , HU Xiaohua2, CHEN Qianjun1,4
1. National Engineering Research Center for E-Learning, Central China Normal University, Wuhan, Hubei 430079, China; 2. School of Computer, Central China Normal University, Wuhan, Hubei 430079, China; 3. School of Information Technology, Xingyi Normal University for Nationalities, Xingyi, Guizhou 562400, China; 4. Network Center of Hubei University, Wuhan, Hubei 430062, China
Abstract：Identifying the relation features between named entities is the key aspect in named entity relation extraction. Traditional methods usually chose the lexical features and other surface features, which are well addressed already. This paper proposes a novel Chinese named entity relation extraction method, adding such syntactic and semantic features as dependency parsing, core predicate verb and semantic role labeling etc. Experimented by SVM over a true news text corpus, the results indicate that this method could improve the F1 value significantly.
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