Text Summarization Using Hybrid Parallel Genetic Algorithm

被引：0

作者：

Tang, Xinlai ^{[1
]}

Wang, XiaoRong ^{[2
]}

Wang, Meng ^{[2
]}

机构：

[1] GuangXi Univ Technol, Lushan Coll, Liuzhou, Peoples R China

[2] GuangXi Univ Tech, Dept Comp Engn, Liuzhou, Peoples R China

来源：

COMPUTATIONAL MATERIALS SCIENCE, PTS 1-3 | 2011年 / 268-270卷

关键词：

K-means; Hybrid Parallel Genetic Algorithm; Summarization;

D O I：

10.4028/www.scientific.net/AMR.268-270.1073

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

This paper proposes a special text summarization method based on hybrid parallel genetic algorithm. The idea of our approach is to obtain center of sentences based on k-means clustering and hybrid parallel genetic algorithm. We select those sentence according its importance and distance of center to form a summarization. Experimental results indicate a clear superiority of the proposed method over the traditional method under the proposed evaluation scheme.

引用

页码：1073 / +

页数：2

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