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        <title>Ant Colony System for Multi-Document Summarization</title>
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        <namePart type="given">Asma</namePart>
        <namePart type="family">Al-Saleh</namePart>
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        <namePart type="given">Mohamed</namePart>
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        <namePart type="given">Bachir</namePart>
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            <title>Proceedings of the 27th International Conference on Computational Linguistics</title>
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            <namePart type="given">Emily</namePart>
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    <abstract>This paper proposes an extractive multi-document summarization approach based on an ant colony system to optimize the information coverage of summary sentences. The implemented system was evaluated on both English and Arabic versions of the corpus of the Text Analysis Conference 2011 MultiLing Pilot by using ROUGE metrics. The evaluation results are promising in comparison to those of the participating systems. Indeed, our system achieved the best scores based on several ROUGE metrics.</abstract>
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        <url>https://aclanthology.org/C18-1062</url>
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%0 Conference Proceedings
%T Ant Colony System for Multi-Document Summarization
%A Al-Saleh, Asma
%A Menai, Mohamed El Bachir
%Y Bender, Emily M.
%Y Derczynski, Leon
%Y Isabelle, Pierre
%S Proceedings of the 27th International Conference on Computational Linguistics
%D 2018
%8 August
%I Association for Computational Linguistics
%C Santa Fe, New Mexico, USA
%F al-saleh-menai-2018-ant
%X This paper proposes an extractive multi-document summarization approach based on an ant colony system to optimize the information coverage of summary sentences. The implemented system was evaluated on both English and Arabic versions of the corpus of the Text Analysis Conference 2011 MultiLing Pilot by using ROUGE metrics. The evaluation results are promising in comparison to those of the participating systems. Indeed, our system achieved the best scores based on several ROUGE metrics.
%U https://aclanthology.org/C18-1062
%P 734-744

Markdown (Informal)

[Ant Colony System for Multi-Document Summarization](https://aclanthology.org/C18-1062) (Al-Saleh & Menai, COLING 2018)

• Ant Colony System for Multi-Document Summarization (Al-Saleh & Menai, COLING 2018)

ACL

• Asma Al-Saleh and Mohamed El Bachir Menai. 2018. Ant Colony System for Multi-Document Summarization. In Proceedings of the 27th International Conference on Computational Linguistics, pages 734–744, Santa Fe, New Mexico, USA. Association for Computational Linguistics.