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        <title>Summarizing World Speak : A Preliminary Graph Based Approach</title>
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        <namePart type="given">Nikhil</namePart>
        <namePart type="family">Londhe</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>Social media platforms play a crucial role in piecing together global news stories via their corresponding online discussions. Thus, in this work, we introduce the problem of automatically summarizing massively multilingual microblog text streams. We discuss the challenges involved in both generating summaries as well as evaluating them. We introduce a simple word graph based approach that utilizes node neighborhoods to identify keyphrases and thus in turn, pick summary candidates. We also demonstrate the effectiveness of our method in generating precise summaries as compared to other popular techniques.</abstract>
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    <identifier type="doi">10.26615/978-954-452-049-6_060</identifier>
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%0 Conference Proceedings
%T Summarizing World Speak : A Preliminary Graph Based Approach
%A Londhe, Nikhil
%A Srihari, Rohini
%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 londhe-srihari-2017-summarizing
%X Social media platforms play a crucial role in piecing together global news stories via their corresponding online discussions. Thus, in this work, we introduce the problem of automatically summarizing massively multilingual microblog text streams. We discuss the challenges involved in both generating summaries as well as evaluating them. We introduce a simple word graph based approach that utilizes node neighborhoods to identify keyphrases and thus in turn, pick summary candidates. We also demonstrate the effectiveness of our method in generating precise summaries as compared to other popular techniques.
%R 10.26615/978-954-452-049-6_060
%U https://doi.org/10.26615/978-954-452-049-6_060
%P 452-458

Markdown (Informal)

[Summarizing World Speak : A Preliminary Graph Based Approach](https://doi.org/10.26615/978-954-452-049-6_060) (Londhe & Srihari, RANLP 2017)

• Summarizing World Speak : A Preliminary Graph Based Approach (Londhe & Srihari, RANLP 2017)

ACL

• Nikhil Londhe and Rohini Srihari. 2017. Summarizing World Speak : A Preliminary Graph Based Approach. In Proceedings of the International Conference Recent Advances in Natural Language Processing, RANLP 2017, pages 452–458, Varna, Bulgaria. INCOMA Ltd..