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事件关系表示模型
引用本文:仲兆满,刘宗田,周文,付剑锋.事件关系表示模型[J].中文信息学报,2009,23(6):56-61.
作者姓名:仲兆满  刘宗田  周文  付剑锋
作者单位:上海大学 计算机工程与科学学院,上海 200072
基金项目:国家自然科学基金资助项目,上海市重点学科建设资助项目,上海高校选拔培养优秀青年教师科研专项基金资助项目 
摘    要:事件关系的表示及事件推理是基于事件的知识处理的核心内容。文章提出了事件影响因子的概念来刻画事件间相互影响的强弱,给出了一种事件影响因子的计算方法。在此基础上,建立了事件关系图ERM(Event Relationship Map)来描述领域中事件之间的关系。依据事件关系和事件要素可以进行事件推理,重点阐述了ERM上基于关系的事件推理算法。最后,做了一个事件关系推理的实验,结果证明所提模型及算法与人的主观判断相一致,是合理可行的。

关 键 词:人工智能  自然语言处理  事件  事件关系  事件影响因子  事件推理
  

The Model of Event Relation Representation
ZHONG Zhaoman,LIU Zongtian,ZHOU Wen,FU Jianfeng.The Model of Event Relation Representation[J].Journal of Chinese Information Processing,2009,23(6):56-61.
Authors:ZHONG Zhaoman  LIU Zongtian  ZHOU Wen  FU Jianfeng
Affiliation:School of Computer Engineering & Science, Shanghai University, Shanghai 200072, China
Abstract:The representations of events relations and event reasoning are the keys for eventsbased knowledge processing. The paper presents the event influence factor to depict the strong and weak of interaction between events, and introduces a method of computing the event influence factor. Then ERM (Event Relation Map) is then constructed to describe domain event relations. The algorithm of event reasoning can be carried out from event relations and event elements, and we focus on event reasoning based on event relation. Finally, an experiment of event reasoning has been carried, and the results prove that the proposed models and algorithms are in line with the human judgments.
Keywords:artificial intelligence  natural language processing  event representation  event relation  event influence factor  event reasoning
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