A novel partitioning-based clustering method and generic document summarization

被引：18

作者：

Aliguliyev, Ramiz M. ^{[1
]}

机构：

[1] Natl Acad Sci, Inst Informat Technol Azerbaijan, Baku, Azerbaijan

来源：

2006 IEEE/WIC/ACM INTERNATIONAL CONFERENCE ON WEB INTELLIGENCE AND INTELLIGENT AGENT TECHNOLOGY, WORKSHOPS PROCEEDINGS | 2006年

关键词：

D O I：

10.1109/WI-IATW.2006.16

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper is proposed the generic summarization method that extracts the most relevance sentences from the source document to form a summary. This method based on clustering of sentences. The specificity of this approach is that the generated summary can contain the main contents of different topics as many as possible and reduce its redundancy at the same time. The clustering method satisfies as much homogeneity within each cluster as well as much separability between the clusters as possible.

引用

页码：626 / 629

页数：4

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