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        <title>Taking into account Inter-sentence Similarity for Update Summarization</title>
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        <namePart type="given">Gaël</namePart>
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            <title>Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 2: Short Papers)</title>
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    <abstract>Following Gillick and Favre (2009), a lot of work about extractive summarization has modeled this task by associating two contrary constraints: one aims at maximizing the coverage of the summary with respect to its information content while the other represents its size limit. In this context, the notion of redundancy is only implicitly taken into account. In this article, we extend the framework defined by Gillick and Favre (2009) by examining how and to what extent integrating semantic sentence similarity into an update summarization system can improve its results. We show more precisely the impact of this strategy through evaluations performed on DUC 2007 and TAC 2008 and 2009 datasets.</abstract>
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%0 Conference Proceedings
%T Taking into account Inter-sentence Similarity for Update Summarization
%A Mnasri, Maâli
%A de Chalendar, Gaël
%A Ferret, Olivier
%Y Kondrak, Greg
%Y Watanabe, Taro
%S Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 2: Short Papers)
%D 2017
%8 November
%I Asian Federation of Natural Language Processing
%C Taipei, Taiwan
%F mnasri-etal-2017-taking
%X Following Gillick and Favre (2009), a lot of work about extractive summarization has modeled this task by associating two contrary constraints: one aims at maximizing the coverage of the summary with respect to its information content while the other represents its size limit. In this context, the notion of redundancy is only implicitly taken into account. In this article, we extend the framework defined by Gillick and Favre (2009) by examining how and to what extent integrating semantic sentence similarity into an update summarization system can improve its results. We show more precisely the impact of this strategy through evaluations performed on DUC 2007 and TAC 2008 and 2009 datasets.
%U https://aclanthology.org/I17-2035
%P 204-209

Markdown (Informal)

[Taking into account Inter-sentence Similarity for Update Summarization](https://aclanthology.org/I17-2035) (Mnasri et al., IJCNLP 2017)

• Taking into account Inter-sentence Similarity for Update Summarization (Mnasri et al., IJCNLP 2017)

ACL

• Maâli Mnasri, Gaël de Chalendar, and Olivier Ferret. 2017. Taking into account Inter-sentence Similarity for Update Summarization. In Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 2: Short Papers), pages 204–209, Taipei, Taiwan. Asian Federation of Natural Language Processing.