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A Graph-based Approach to Cross-language Multi-document Summarization

Abstract : Cross-language summarization is the task of generating a summary in a language different from the language of the source documents. In this paper, we propose a graph-based approach to multi-document summarization that integrates machine translation quality scores in the sentence extraction process. We evaluate our method on a manually translated subset of the DUC 2004 evaluation campaign. Results indicate that our approach improves the readability of the generated summaries without degrading their informativity. Index Terms-Graph-based approach, cross-language multi-document summarization.
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Last modification on : Wednesday, April 22, 2020 - 2:50:09 PM
Long-term archiving on: : Monday, May 27, 2019 - 12:39:38 PM

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  • HAL Id : hal-02021891, version 1

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Florian Boudin, Stéphane Huet, Juan-Manuel Torres-Moreno. A Graph-based Approach to Cross-language Multi-document Summarization. 12th International Conference on Intelligent Text Processing and Computational Linguistics (CICLing), 2011, Tokyo, Japan. pp.113-118. ⟨hal-02021891⟩

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