Artificial Intelligence and Decision Making
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Artificial Intelligence and Decision Making, 2010, Issue 2, Pages 36–41 (Mi iipr497)  
Knowledge engineering

Multitopic relations based ranking method for multidocument summarization of news reports

S. D. Tarasov

Baltic State Technical University, St. Petersburg
Full-text PDF (376 kB)
Abstract: An approach to modern methods and algorithms of multidocument summarization is described. The main disadvantages of these methods are substantiated. Requirements for a method that could overcome these shortcomings are described. In this paper the method developed by the author thematically related rankings to automatically generate summary abstracts is considered. As evidence of the effectiveness of the developed method the results of experimental evaluation of the quality obtained summary abstracts are described.
Keywords: multidocument summarization, automatic multidocument summarization, summary.
Bibliographic databases:
Document Type: Article
Language: Russian
Citation: S. D. Tarasov, “Multitopic relations based ranking method for multidocument summarization of news reports”, Artificial Intelligence and Decision Making, 2010, no. 2, 36–41
Citation in format AMSBIB
\Bibitem{Tar10}
\by S.~D.~Tarasov
\paper Multitopic relations based ranking method for multidocument summarization of news reports
\jour Artificial Intelligence and Decision Making
\yr 2010
\issue 2
\pages 36--41
\mathnet{http://mi.mathnet.ru/iipr497}
\elib{https://elibrary.ru/item.asp?id=15593575}
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  • https://www.mathnet.ru/eng/iipr/y2010/i2/p36
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