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        <title>When science journalism meets artificial intelligence : An interactive demonstration</title>
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    <name type="personal">
        <namePart type="given">Raghuram</namePart>
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    <name type="personal">
        <namePart type="given">Nishant</namePart>
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    <name type="personal">
        <namePart type="given">Balaji</namePart>
        <namePart type="given">Vasan</namePart>
        <namePart type="family">Srinivasan</namePart>
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    <name type="personal">
        <namePart type="given">Vasudeva</namePart>
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            <title>Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing: System Demonstrations</title>
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    <abstract>We present an online interactive tool that generates titles of blog titles and thus take the first step toward automating science journalism. Science journalism aims to transform jargon-laden scientific articles into a form that the common reader can comprehend while ensuring that the underlying meaning of the article is retained. In this work, we present a tool, which, given the title and abstract of a research paper will generate a blog title by mimicking a human science journalist. The tool makes use of a model trained on a corpus of 87,328 pairs of research papers and their corresponding blogs, built from two science news aggregators. The architecture of the model is a two-stage mechanism which generates blog titles. Evaluation using standard metrics indicate the viability of the proposed system.</abstract>
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    <identifier type="doi">10.18653/v1/D18-2028</identifier>
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        <date>2018-11</date>
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%0 Conference Proceedings
%T When science journalism meets artificial intelligence : An interactive demonstration
%A Vadapalli, Raghuram
%A Syed, Bakhtiyar
%A Prabhu, Nishant
%A Srinivasan, Balaji Vasan
%A Varma, Vasudeva
%Y Blanco, Eduardo
%Y Lu, Wei
%S Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing: System Demonstrations
%D 2018
%8 November
%I Association for Computational Linguistics
%C Brussels, Belgium
%F vadapalli-etal-2018-science
%X We present an online interactive tool that generates titles of blog titles and thus take the first step toward automating science journalism. Science journalism aims to transform jargon-laden scientific articles into a form that the common reader can comprehend while ensuring that the underlying meaning of the article is retained. In this work, we present a tool, which, given the title and abstract of a research paper will generate a blog title by mimicking a human science journalist. The tool makes use of a model trained on a corpus of 87,328 pairs of research papers and their corresponding blogs, built from two science news aggregators. The architecture of the model is a two-stage mechanism which generates blog titles. Evaluation using standard metrics indicate the viability of the proposed system.
%R 10.18653/v1/D18-2028
%U https://aclanthology.org/D18-2028
%U https://doi.org/10.18653/v1/D18-2028
%P 163-168

Markdown (Informal)

[When science journalism meets artificial intelligence : An interactive demonstration](https://aclanthology.org/D18-2028) (Vadapalli et al., EMNLP 2018)

• When science journalism meets artificial intelligence : An interactive demonstration (Vadapalli et al., EMNLP 2018)

ACL

• Raghuram Vadapalli, Bakhtiyar Syed, Nishant Prabhu, Balaji Vasan Srinivasan, and Vasudeva Varma. 2018. When science journalism meets artificial intelligence : An interactive demonstration. In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, pages 163–168, Brussels, Belgium. Association for Computational Linguistics.