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基于动词论元结构的中文事件抽取方法
引用本文:肖升,何炎祥. 基于动词论元结构的中文事件抽取方法[J]. 计算机科学, 2012, 39(5): 161-164,176
作者姓名:肖升  何炎祥
作者单位:1. 武汉大学计算机学院 武汉430072;湖南第一师范学院信息科学与工程系 长沙41205
2. 武汉大学计算机学院 武汉430072
基金项目:国家自然科学基金,湖南省教育厅科学研究项目,湖南省高校科技创新团队支持计划,湖南省科技厅高新计划项目
摘    要:为将动词与其论元间的约束规则应用于事件抽取,在事件模型中引入动词论元结构形成模型变体,围绕模型变体提出基于动词论元结构的中文事件抽取方法。此方法首先对待抽取文本进行预处理和句法分析,得出其语法结构;然后将所得结构与动词论元结构属性进行比较,找出每个动词支配的论元;最后利用论元的语义属性确定与之对应的事件特征并由此完成事件抽取。实验结果显示,此方法能有效提高抽取系统的性能和效率。

关 键 词:动词  论元结构  事件特征  触发词  事件模型  中文事件  信息抽取

Approach of Chinese Event IE Based on Verb Argument Structure
XIAO Sheng , HE Yan-xiang. Approach of Chinese Event IE Based on Verb Argument Structure[J]. Computer Science, 2012, 39(5): 161-164,176
Authors:XIAO Sheng    HE Yan-xiang
Affiliation:1(School of Computer Science,Wuhan University,Wuhan 430072,China)1(Department of Information Science and Engineering,Hunan First Normal College,Changsha 410205,China)2
Abstract:For the purpose of using the constraintrules between verbs and their arguments in the event extraction, an approach of Chinese event IE based on verb argument structure was proposed around the model variant, which was formed by introducing the verb argument structure into an event model. First pre-treating and syntactic analysis of text were made to get its grammatical structure. hhen the structure was compared with the properties of verb argument structure to find out the disposal argument of each verb. Finally the features of the corresponding events were determined by the semantic properties of argument and the event extraction was completed. Experimental results show that this method can improve the extraction system performance, increase the efficiency of extraction.
Keywords:Verb   Argument structure   Event feature   Trigger   Event model   Chinese event   Information extraction
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