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UOT 004
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ITI əməkdaşlarının elmi işləri - məqalə |
Biblioqrafik təsvir | Alguliyev , R.M. CDDS: Constraint-driven document summarization models / R.M. Alguliyev , R.M. Aliguliyev , N.R. Isazade // Expert Systems with Applications. - 2013. - N: Volume 40 Issue 2.- P. 458-465. | Annotasiya | This paper proposes a constraint-driven document summarization approach emphasizing the following
two requirements: (1) diversity in summarization, which seeks to reduce redundancy among sentences
in the summary and (2) sufficient coverage, which focuses on avoiding the loss of the document’s main
information when generating the summary. The constraint-driven document summarization models
with tuning the constraint parameters can drive content coverage and diversity in a summary. The models are formulated as a quadratic integer programming (QIP) problem. To solve the QIP problem we used a
discrete PSO algorithm. The models are implemented on multi-document summarization task. The comparative results showed that the proposed models outperform other methods on DUC2005 and DUC2007
datasets. | Elektron variant | Elektron variant |
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