Text Summarization Using Neural Networks

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dc.contributor.authorKaikhah, Khosrow
dc.date.accessioned2012-02-24T10:17:54Z
dc.date.available2012-02-24T10:17:54Z
dc.date.issued2004-04
dc.description.abstractA 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.
dc.description.departmentComputer Science
dc.formatText
dc.format.extent4 pages
dc.format.medium1 file (.pdf)
dc.identifier.citationKaikhah, K. (2004). Text Summarization Using Neural Networks. WSEAS Transactions on Systems, 3(2), pp. 960-963.
dc.identifier.urihttps://hdl.handle.net/10877/3819
dc.language.isoen
dc.publisherWorld Scientific and Engineering Academy and Society
dc.sourceWSEAS Transactions on Systems, August 2004, Vol. 3, No. 2, pp. 960-963.
dc.subjectadaptive clustering
dc.subjectfeature fusion
dc.subjectneural networks
dc.subjectpruning
dc.subjecttext summarization
dc.subjectComputer Science
dc.titleText Summarization Using Neural Networks
dc.typeArticle

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