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基于文本事件网络自动摘要的抽取方法
引用本文:杨竣辉,刘宗田,刘 炜,苏小英.基于文本事件网络自动摘要的抽取方法[J].计算机科学,2015,42(3):210-213, 223.
作者姓名:杨竣辉  刘宗田  刘 炜  苏小英
作者单位:1. 上海大学计算机工程与科学学院 上海200072;江西理工大学信息工程学院 赣州341000
2. 上海大学计算机工程与科学学院 上海200072
基金项目:本文受国家自然科学基金项目(61273328,61305053)资助
摘    要:将文本按事件方式进行表示,把事件作为基本语义单元来构建事件本体.根据事件间的关系构建事件网络有向图能较好地表达文本的语义信息及事件间的关系重要程度.利用PAGERANK算法测算事件网络图中各节点对应事件的重要度并进行排序,按事件发生的时间顺序,输出事件对应的原语句作为摘要.实验结果表明,基于事件网络的文本自动文摘方法抽取出的摘要效果较好.

关 键 词:文本表示  事件本体  事件网络  PAGERANK

Extraction Method of Text Summarization Based on Event Network
YANG Jun-hui,LIU Zong-tian,LIU Wei and SU Xiao-ying.Extraction Method of Text Summarization Based on Event Network[J].Computer Science,2015,42(3):210-213, 223.
Authors:YANG Jun-hui  LIU Zong-tian  LIU Wei and SU Xiao-ying
Affiliation:School of Computer Engineering and Science,Shanghai University,Shanghai 200072,China;School of Information and Engineering,Jiangxi University of Science and Technology,Ganzhou 341000,China,School of Computer Engineering and Science,Shanghai University,Shanghai 200072,China,School of Computer Engineering and Science,Shanghai University,Shanghai 200072,China and School of Computer Engineering and Science,Shanghai University,Shanghai 200072,China
Abstract:Text was expressed by the means of event,and event ontology was built by using event as the basic semantic unit.According to the relationship between events,we built event network direct diagram which can express more semantic information of the text and describe the importance of relationship between events.The importance degree of event of the event network corresponding to each node was calculated and ranked by using the PAGERANK algorithm.According to the time sequence of events,event corresponding primitives were exported as abstract.The experimental results show that automatic summary based on the event network method has better performance.
Keywords:Text representation  Event ontology  Event-Network  PAGERANK
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