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        <title>Towards Summarization for Social Media - Results of the TL;DR Challenge</title>
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    <name type="personal">
        <namePart type="given">Shahbaz</namePart>
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            <namePart type="given">Chenghua</namePart>
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    <abstract>In this paper, we report on the results of the TL;DR challenge, discussing an extensive manual evaluation of the expected properties of a good summary based on analyzing the comments provided by human annotators.</abstract>
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    <identifier type="doi">10.18653/v1/W19-8666</identifier>
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%0 Conference Proceedings
%T Towards Summarization for Social Media - Results of the TL;DR Challenge
%A Syed, Shahbaz
%A Völske, Michael
%A Lipka, Nedim
%A Stein, Benno
%A Schütze, Hinrich
%A Potthast, Martin
%Y van Deemter, Kees
%Y Lin, Chenghua
%Y Takamura, Hiroya
%S Proceedings of the 12th International Conference on Natural Language Generation
%D 2019
%8 oct–nov
%I Association for Computational Linguistics
%C Tokyo, Japan
%F syed-etal-2019-towards
%X In this paper, we report on the results of the TL;DR challenge, discussing an extensive manual evaluation of the expected properties of a good summary based on analyzing the comments provided by human annotators.
%R 10.18653/v1/W19-8666
%U https://aclanthology.org/W19-8666
%U https://doi.org/10.18653/v1/W19-8666
%P 523-528

Markdown (Informal)

[Towards Summarization for Social Media - Results of the TL;DR Challenge](https://aclanthology.org/W19-8666) (Syed et al., INLG 2019)

• Towards Summarization for Social Media - Results of the TL;DR Challenge (Syed et al., INLG 2019)

ACL

• Shahbaz Syed, Michael Völske, Nedim Lipka, Benno Stein, Hinrich Schütze, and Martin Potthast. 2019. Towards Summarization for Social Media - Results of the TL;DR Challenge. In Proceedings of the 12th International Conference on Natural Language Generation, pages 523–528, Tokyo, Japan. Association for Computational Linguistics.