№2, 2015


Ramiz Aliguliyev M., Makrufa Hajirahimova S.

In this paper, an unsupervised approach to automatic document summarization is proposed. This approach is based on sentence selection. In the proposed approach, sentence selection is modeled as an optimization problem. The model generally attempts to optimize three properties: relevance – summary should contain informative sentences that carry the main topics of the source text; redundancy – summaries should not contain multiple sentences that convey the same information; length – summary is bounded in length (pp. 84-90).

Keywords: information overload, text mining, text summarization, redundancy, coverage, optimization model.
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