| ITI əməkdaşlarının elmi işləri - məqalə |
| Biblioqrafik təsvir | |
| Alguliyev , R.M. MR&MR-Sum: maximum relevance and minimum redundant document summarization model / R.M. Alguliyev , R.M. Aliguliyev , N.R. Isazade // International Journal of Information Technology and Decision Making. - 2013. - N: Vol. 12, No. 3 .- P. 361-393. | |
| Annotasiya | |
| We have presented an approach to automatic document summarization. In the proposed approach, text summarization is modeled as a quadratic integer-programming problem. This model generally attempts to optimize three properties, namely, (1) relevance: summary should contain informative textual units that are relevant to the user; (2) redundancy: summaries should not contain multiple textual units that convey the same information; and (3) length: summary is bounded in length. To solve the optimization problem we have created a novel di®erential evolution algorithm. Experimental results on DUC2005 and DUC2007 data sets showed that the proposed approach outperforms the other methods. | |
| Elektron variant | |
| Elektron variant |
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