邵艳秋,穗志方,吴云芳. 基于词汇语义特征的中文语义角色标注研究[J]. 中文信息学报, 2009, 23(6): 3-11.
SHAO Yanqiu, SUI Zhifang, WU Yunfang. Chinese Semantic Role Labeling Based on Lexical Semantic Features. , 2009, 23(6): 3-11.
Chinese Semantic Role Labeling Based on Lexical Semantic Features
SHAO Yanqiu1,2, SUI Zhifang2, WU Yunfang2
1. Artificial Intelligence Institute, Beijing City University, Beijing 100083, China 2. Institute of Computational Linguistics, Peking University, Beijing 100871, China
Abstract：Besides Syntax structure, lexical semantic features are also closely related to semantic roles. Therefore, lexical semantic features could help solve the problems that could not be well-done only by syntax features. In this paper, some lexical semantic features such as valency number, semantic class of subject and object are introduced according to the Peking University semantic dictionary CSD, The 10-fold cross validation results show that, by applying the semantic dictionary, the overall F-score increases by 1.11%. And the F-score of Arg0 and Arg1 reach 93.85% and 90.60% respectively, which are 1.10% and 1.26% higher than the results only depending on syntax features. Key words artificial intelligence; natural language processing; semantic analysis; semantic role labeling; syntax analysis; semantic dictionary; lexical semantic feature
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