Summarization of Text-based Documents with a Determination of Latent Topical Sections and Information-Rich Sentences

被引：9

作者：

Alguliev, R. M. ^{[1
]}

Alyguliev, R. M. ^{[1
]}

机构：

[1] Natl Acad Sci Azerbaijan, Inst Informat Technol, Ul Agaev 9, AZ-1141 Baku, Azerbaijan

来源：

AUTOMATIC CONTROL AND COMPUTER SCIENCES | 2007年 / 41卷 / 03期

关键词：

summarization; clustering; optimal number of clusters; information; rich sentence; neural networks;

D O I：

10.3103/S0146411607030030

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

A method is proposed for use in summarization of text-based documents. By means of the method it is possible to discover latent topical sections and information-rich sentences. The underlying basis of the method - clustering of sentences - is formulated mathematically in the form of a problem of quadratic-type integer programming. An algorithm that makes it possible to determine with specified precision the optimal number of clusters is developed. The synthesis of a neural network is described for the purpose of solving a problem of integer quadratic programming.

引用

页码：132 / 140

页数：9

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