Automatic Text Summarization with Neural Networks

Simple item page
dc.contributor.authorKaikhah, Khosrow
dc.date.accessioned2012-02-24T10:17:48Z
dc.date.available2012-02-24T10:17:48Z
dc.date.issued2004-06-22
dc.description.abstractA novel technique for summarizing news articles using neural networks is presented. A neural network is trained to learn the relevant features cf sentences that should be included in the summary of the article. The neural network is then modified to generalize and combine the relevant fertures apparent in summary sentences. Finally, the modified neural network is used as a filter to summarize news article.
dc.description.departmentComputer Science
dc.formatText
dc.format.extent5 pages
dc.format.medium1 file (.pdf)
dc.identifier.citationKaikhah, K. (2004). Automatic Text Summarization with Neural Networks. Second International IEEE Conference on Intelligent Systems (pp. 40-45). Varna, Bulgaria.
dc.identifier.doihttps://doi.org/10.1109/IS.2004.1344634
dc.identifier.urihttps://hdl.handle.net/10877/3810
dc.language.isoen
dc.sourceSecond International IEEE Conference on Intelligent Systems, 2004, Varna, Bulgaria.
dc.subjecttext summarization
dc.subjectneural networks
dc.subjectadaptive clustering
dc.subjectartificial intelligence
dc.subjectfeature fusion
dc.subjectpruning
dc.subjectComputer Science
dc.titleAutomatic Text Summarization with Neural Networks
dc.typePaper

Files

Original bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
fulltext.pdf
Size:
367.14 KB
Format:
Adobe Portable Document Format
Download

Collections

College of Science and Engineering