We model document summarization as a nonlinear 0-1 programming problem where an objective function is defined as Heronian mean of the objective functions enforcing the coverage and diversity. The proposed model implemented on a multi-document summarization task. Experiments on DUC2001 and DUC2002 datasets showed that the proposed model outperforms the other summarization methods.
CITATION STYLE
Alguliev, R. M., Aliguliyev, R. M., & Mehdiyev, C. A. (2011). An Optimization Model and DPSO-EDA for Document Summarization. International Journal of Information Technology and Computer Science, 3(5), 59–68. https://doi.org/10.5815/ijitcs.2011.05.08
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