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AUTOMATIC TEXT SUMMARIZATION BASED ON TEXTUAL COHESION
作者姓名:Chen  Yanmin  Liu  Bingquan  Wang  Xiaolong
作者单位:Dept of Computer Science and Engineering, Harbin Institute of Technology, Harbin 150001, China
基金项目:Supported by the Key Project of National Natural Science Foundation of China (No.60435020) and the High Technology Research and Development Programme of China (No.2002AA117010-09).
摘    要:This paper presents two different algorithms that derive the cohesion structure in the form of lexical chains from two kinds of language resources HowNet and TongYiCiCiLin. The re-search that connects the cohesion structure of a text to the derivation of its summary is displayed. A novel model of automatic text summarization is devised,based on the data provided by lexical chains from original texts. Moreover,the construction rules of lexical chains are modified accord-ing to characteristics of the knowledge database in order to be more suitable for Chinese summa-rization. Evaluation results show that high quality indicative summaries are produced from Chi-nese texts.

关 键 词:文本自动摘要  织构  内聚力  词汇链
收稿时间:30 September 2005
修稿时间:2005-09-302006-05-20

Automatic text summarization based on textual cohesion
Chen Yanmin Liu Bingquan Wang Xiaolong.AUTOMATIC TEXT SUMMARIZATION BASED ON TEXTUAL COHESION[J].Journal of Electronics,2007,24(3):338-346.
Authors:Chen Yanmin  Liu Bingquan  Wang Xiaolong
Affiliation:Dept of Computer Science and Engineering,Harbin Institute of Technology,Harbin 150001,China
Abstract:This paper presents two different algorithms that derive the cohesion structure in the form of lexical chains from two kinds of language resources HowNet and TongYiCiCiLin. The research that connects the cohesion structure of a text to the derivation of its summary is displayed. A novel model Of automatic text summarization is devised, based on the data provided by lexical chains from original texts. Moreover, the construction rules of lexical chains are modified according to characteristics of the knowledge database in order to be more suitable for Chinese summarization. Evaluation results show that high quality indicative summaries are produced from Chinese texts.
Keywords:Text summarization  Textual cohesion  Lexical chain  HowNet  TongYiCiCiLin
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