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Biblioqrafik təsvir | Alguliyev , R.M. A Model for Text Summarization / R.M. Alguliyev , R.M. Aliguliyev , N.R. Isazade // International Journal of Intelligent Information Technologies. - 2017. - N: vol 13, iss 1.- P. 67-85. | Annotasiya | Text summarization is a process for creating a concise version of document(s) preserving its
main content. In this paper, to cover all topics and reduce redundancy in summaries, a two-stage
sentences selection method for text summarization is proposed. At the first stage, to discover
all topics the sentences set is clustered by using k-means method. At the second stage, optimum
selection of sentences is proposed. From each cluster the salient sentences are selected according
to their contribution to the topic (cluster) and their proximity to other sentences in cluster to avoid
redundancy in summaries until the appointed summary length is reached. Sentence selection is
modeled as an optimization problem. In this study, to solve the optimization problem an adaptive
differential evolution with novel mutation strategy is employed. With a test on benchmark DUC2001
and DUC2002 data sets, the ROUGE value of summaries got by the proposed approach demonstrated its validity, compared to the traditional methods of sentence selection and the top three performing systems for DUC2001 and DUC2002. | Elektron variant | Elektron variant |
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