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自动文摘中的冗余句消除方法
引用本文:程传鹏,杨要科.自动文摘中的冗余句消除方法[J].计算机应用,2011,31(12):3275-3277.
作者姓名:程传鹏  杨要科
作者单位:1. 中原工学院 计算机学院,郑州 4500072. (中原工学院 计算机学院, 郑州 450007)
基金项目:河南省教育厅自然科学项目
摘    要:针对自动文摘的信息冗余问题,提出了一种冗余语句消除的方法。利用《同义词词林》来定义词语语义距离计算公式,根据词语的相似度,建立主题词和主题句之间的一一对应关系,借用编码理论中海明距离的理论,得到了文摘中主题句的相似度,设置阈值过滤掉相似度较高的主题句,从而实现了主题句的约简。实验结果证明,该方法提高了文摘的精度。

关 键 词:自动文摘    信息冗余    同义词词林    语义距离    海明距离
收稿时间:2011-06-02
修稿时间:2011-08-06

Method for elimination of redundant sentences in automatic abstraction
CHENG Chuan-peng,YANG Yao-ke.Method for elimination of redundant sentences in automatic abstraction[J].journal of Computer Applications,2011,31(12):3275-3277.
Authors:CHENG Chuan-peng  YANG Yao-ke
Affiliation:School of Computer Science, Zhongyuan Institute of Technology,Zhengzhou Henan 450007,China
Abstract:To solve the problem of information redundancy in automatic abstraction, this paper proposed a method for eliminating redundant sentences in automatic abstraction. Firstly, similarity of words was defined based on TongYiCi CiLin. And then, correspondence between topic words and subject sentence was established based on the similarity of words, the similarity of subject sentence was got based on the theory of Hamming distance in encoding theory, and high similarity sentences were reduced by threshold. The experimental results show that the method greatly improves the accuracy of abstraction.
Keywords:automatic text summarization                                                                                                                        Information redundancy                                                                                                                        TongYiCi CiLin                                                                                                                        Semantic distance                                                                                                                        Hamming distance
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