Title :
Automatic text summarization with neural networks
Author :
Kaikhah, Khosrow
Author_Institution :
Dept. of Comput. Sci., Texas State Univ., San Marcos, TX, USA
Abstract :
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.
Keywords :
learning (artificial intelligence); natural languages; neural nets; text analysis; adaptive clustering; automatic text summarization; feature fusion; neural networks; news articles; pruning; Abstracts; Artificial neural networks; Costs; Data mining; Information filtering; Information filters; Internet; Machine learning; Natural language processing; Neural networks;
Conference_Titel :
Intelligent Systems, 2004. Proceedings. 2004 2nd International IEEE Conference
Print_ISBN :
0-7803-8278-1
DOI :
10.1109/IS.2004.1344634
