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ITI əməkdaşlarının elmi işləri - məqalə |
Biblioqrafik təsvir | Alguliyev , R.M. Multiple documents summarization based on evolutionary optimization algorithm / R.M. Alguliyev , R.M. Aliguliyev , N.R. Isazade // Expert Systems with Applications. - 2013. - N: 40.- P. 1675–1689. | Annotasiya | This paper proposes an optimization-based model for generic document summarization. The model
generates a summary by extracting salient sentences from documents. This approach uses the
sentence-to-document collection, the summary-to-document collection and the sentence-to-sentence
relations to select salient sentences from given document collection and reduce redundancy in the
summary. To solve the optimization problem has been created an improved differential evolution
algorithm. The algorithm can adjust crossover rate adaptively according to the fitness of individuals.
We implemented the proposed model on multi-document summarization task. Experiments have been
performed on DUC2002 and DUC2004 data sets. The experimental results provide strong evidence that
the proposed optimization-based approach is a viable method for document summarization. | Elektron variant | Elektron variant |
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