基于信息单元融合的新闻原子事件抽取

基于信息单元融合的新闻原子事件抽取 Atomic Event Extraction Based on Information Unit Fusion 张贺 ZHANG He 1 2 first-author 刘茂福 LIU Maofu 1 2 胡慧君 HU Huijun 1 2 顾进广 GU Jinguang 1 2 武汉科技大学计算机科学与技术学院 武汉科技大学计算机科学与技术学院 College of Computer Science and Technology,Wuhan University of Science and Technology College of Computer Science and Technology,Wuhan University of Science and Technology 智能信息处理与实时工业系统湖北省重点实验室 智能信息处理与实时工业系统湖北省重点实验室 Hubei Province Key Laboratory of Intelligent Information Processing and Real-Time Industrial System Hubei Province Key Laboratory of Intelligent Information Processing and Real-Time Industrial System 原子事件抽取是将非结构化文本进行结构化表示的重要方法.针对新闻语料,本文提出了一种基于信息单元融合的原子事件抽取方法.在中文分词、词性标注、命名实体识别等自然语言处理技术的基础上,利用语言规则将信息单元标识出来并进行融合,达到浅层句法分析的效果,通过原子事件抽取算法将原子事件从经信息单元融合后的语料中抽取出来.基于信息单元融合的原子事件抽取方法不仅对文本长度没有严格限制,并且不受事件类型的约束;实验结果表明,基于信息单元融合的原子事件抽取方法是有效的. Atomic event extraction is an important means to represent the unstructured text structurally. This paper proposes an information basic unit fusion approach to extract atomic event from the news. On the basis of Chinese word segmentation,part of speech tagging and named entity recognition,information basic units can be marked and fused according to linguistic rules. And then,the atomic events can be extracted from information basic unit fused texts by the atomic event extraction algorithm. This approach does not restrict the length of texts and the types of atomic events. The experiment results demonstrate the effectiveness and feasibility of the atomic event extraction approach based on information unit fusion. 信息单元融合 原子事件 事件抽取 information unit fusion atomic event event extraction 10.14188/j.1671-8836.2015.02.006 TP391.1 国家自然科学基金（61100133,61173062）;国家社会科学基金重大项目（11&ZD189） 2015-02-01 2021-03-31 2 61