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    <titleInfo>
        <title>You’ll Never Tweet Alone: Building Sports Match Timelines from Microblog Posts</title>
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    <name type="personal">
        <namePart type="given">Amosse</namePart>
        <namePart type="family">Edouard</namePart>
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    <name type="personal">
        <namePart type="given">Elena</namePart>
        <namePart type="family">Cabrio</namePart>
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    <name type="personal">
        <namePart type="given">Sara</namePart>
        <namePart type="family">Tonelli</namePart>
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    <name type="personal">
        <namePart type="given">Nhan</namePart>
        <namePart type="family">Le-Thanh</namePart>
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            <title>Proceedings of the International Conference Recent Advances in Natural Language Processing, RANLP 2017</title>
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        <name type="personal">
            <namePart type="given">Ruslan</namePart>
            <namePart type="family">Mitkov</namePart>
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        <name type="personal">
            <namePart type="given">Galia</namePart>
            <namePart type="family">Angelova</namePart>
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    <abstract>In this paper, we propose an approach to build a timeline with actions in a sports game based on tweets. We combine information provided by external knowledge bases to enrich the content of the tweets, and apply graph theory to model relations between actions and participants in a game. We demonstrate the validity of our approach using tweets collected during the EURO 2016 Championship and evaluate the output against live summaries produced by sports channels.</abstract>
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    <identifier type="doi">10.26615/978-954-452-049-6_030</identifier>
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%0 Conference Proceedings
%T You’ll Never Tweet Alone: Building Sports Match Timelines from Microblog Posts
%A Edouard, Amosse
%A Cabrio, Elena
%A Tonelli, Sara
%A Le-Thanh, Nhan
%Y Mitkov, Ruslan
%Y Angelova, Galia
%S Proceedings of the International Conference Recent Advances in Natural Language Processing, RANLP 2017
%D 2017
%8 September
%I INCOMA Ltd.
%C Varna, Bulgaria
%F edouard-etal-2017-youll
%X In this paper, we propose an approach to build a timeline with actions in a sports game based on tweets. We combine information provided by external knowledge bases to enrich the content of the tweets, and apply graph theory to model relations between actions and participants in a game. We demonstrate the validity of our approach using tweets collected during the EURO 2016 Championship and evaluate the output against live summaries produced by sports channels.
%R 10.26615/978-954-452-049-6_030
%U https://doi.org/10.26615/978-954-452-049-6_030
%P 214-221

Markdown (Informal)

[You’ll Never Tweet Alone: Building Sports Match Timelines from Microblog Posts](https://doi.org/10.26615/978-954-452-049-6_030) (Edouard et al., RANLP 2017)

• You’ll Never Tweet Alone: Building Sports Match Timelines from Microblog Posts (Edouard et al., RANLP 2017)

ACL

• Amosse Edouard, Elena Cabrio, Sara Tonelli, and Nhan Le-Thanh. 2017. You’ll Never Tweet Alone: Building Sports Match Timelines from Microblog Posts. In Proceedings of the International Conference Recent Advances in Natural Language Processing, RANLP 2017, pages 214–221, Varna, Bulgaria. INCOMA Ltd..