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ITI əməkdaslarının elmi isləri Elektron kitabxana Konfranslar İnformasiya Sistemi Qəzetlər UOT 004
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 Biblioqrafik təsvir
 Aliguliyev , R.M. An optimization model for automatic text summarization / R.M. Aliguliyev , M.S. Hajirahimova // Problems of information technology. - 2015. - N: 2. - P. 84-90.
 Annotasiya
 In this paper, an unsupervised approach to automatic document summarization is proposed. This approach is based on sentence selection. In the proposed approach, sentence selection is modeled as an optimization problem. The model generally attempts to optimize three properties: relevance – summary should contain informative sentences that carry the main topics of the source text; redundancy – summaries should not contain multiple sentences that convey the same information; length – summary is bounded in length.
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Elektron variant

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