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Erschienen in:
2006 | OriginalPaper | Buchkapitel
A Hybrid Model for Sentence Ordering in Extractive Multi-document Summarization
verfasst von : Dexi Liu, Zengchang Zhang, Yanxiang He, Donghong Ji
Erschienen in: Information Retrieval Technology
Verlag: Springer Berlin Heidelberg
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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.