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
收藏
页码：1073 / +
页数：2
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