Abstract
Ordering information is a critical task for multi-document summarization because it heavily influent the coherence of the generated summary. In this paper, we propose a hybrid model for sentence ordering in extractive multi-document summarization that combines four relations between sentences. This model regards sentence as vertex and combined relation as edge of a directed graph on which the approximately optimal ordering can be generated with PageRank analysis. Evaluation of our hybrid model shows a significant improvement of the ordering over strategies losing some relations and the results also indicate that this hybrid model is robust for articles with different genre. © Springer-Verlag Berlin Heidelberg 2006.
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CITATION STYLE
Dexi, L., Zengchang, Z., Yanxiang, H., & Donghong, J. (2006). A hybrid model for sentence ordering in extractive multi-document summarization. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4182 LNCS, pp. 588–592). Springer Verlag. https://doi.org/10.1007/11880592_50
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