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UOT 004
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ITI əməkdaşlarının elmi işləri - məqalə |
Biblioqrafik təsvir | Alguliyev , R.M. Sentence selection for generic document summarization using an adaptive differential evolution algorithm / R.M. Alguliyev , R.M. Aliguliyev , C.A. Mehdiyev // Swarm and evolutionary computation. - 2011. - N: 4, vol.1.- P. 213-222. | Annotasiya | For effective multi-document summarization, it is important to reduce redundant information in the
summaries and extract sentences, which are common to given documents. This paper presents a
document summarization model which extracts key sentences from given documents while reducing
redundant information in the summaries. An innovative aspect of our model lies in its ability to remove
redundancy while selecting representative sentences. The model is represented as a discrete optimization
problem. To solve the discrete optimization problem in this study an adaptive DE algorithm is created.
We implemented our model on multi-document summarization task. Experiments have shown that
the proposed model is to be preferred over summarization systems. We also showed that the resulting
summarization system based on the proposed optimization approach is competitive on the DUC2002 and
DUC2004 datasets. | Elektron variant | Elektron variant |
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