Text Summarization Using Neural Networks

Date

2004-04

Authors

Kaikhah, Khosrow

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Publisher

World Scientific and Engineering Academy and Society

Abstract

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

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Keywords

adaptive clustering, feature fusion, neural networks, pruning, text summarization, Computer Science

Citation

Kaikhah, K. (2004). Text Summarization Using Neural Networks. WSEAS Transactions on Systems, 3(2), pp. 960-963.

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