Abstract
In this paper, we propose a method for multi-document summarization based on unsupervised clustering. First, the main topics are determined by a MDL-based clustering strategy capable of inferring optimal cluster numbers. Then, the problem of multi-document summarization is formalized on the clusters using an entropy-based object function. © Springer-Verlag Berlin Heidelberg 2006.
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Ji, P. (2006). Multi-document summarization based on unsupervised clustering. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4182 LNCS, pp. 560–566). Springer Verlag. https://doi.org/10.1007/11880592_46
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