Automatic text summarization with neural networks

被引：38

作者：

Kaikhah, K ^{[1
]}

机构：

[1] SW Texas State Univ, Dept Comp Sci, San Marcos, TX 78666 USA

来源：

2004 2ND INTERNATIONAL IEEE CONFERENCE INTELLIGENT SYSTEMS, VOLS 1 AND 2, PROCEEDINGS | 2004年

关键词：

adaptive clustering; feature fusion; neural networks; pruning; text summarization;

D O I：

10.1109/IS.2004.1344634

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

A novel technique for summarizing news articles using neural networks is presented. A neural network is trained to learn the relevant features of sentences that should be included in the summary of the article. The neural network is then modified to generalize and combine the relevant features apparent in summary sentences. Finally, the modified neural network is used as a filter to summarize news articles.

引用

页码：40 / 44

页数：5

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