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        <title>Toward Stance Classification Based on Claim Microstructures</title>
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        <namePart type="given">Filip</namePart>
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            <title>Proceedings of the 8th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis</title>
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        <name type="personal">
            <namePart type="given">Alexandra</namePart>
            <namePart type="family">Balahur</namePart>
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        <name type="personal">
            <namePart type="given">Saif</namePart>
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            <namePart type="family">Mohammad</namePart>
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        <name type="personal">
            <namePart type="given">Erik</namePart>
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    <abstract>Claims are the building blocks of arguments and the reasons underpinning opinions, thus analyzing claims is important for both argumentation mining and opinion mining. We propose a framework for representing claims as microstructures, which express the beliefs, judgments, and policies about the relations between domain-specific concepts. In a proof-of-concept study, we manually build microstructures for over 800 claims extracted from an online debate. We test the so-obtained microstructures on the task of claim stance classification, achieving considerable improvements over text-based baselines.</abstract>
    <identifier type="citekey">boltuzic-snajder-2017-toward</identifier>
    <identifier type="doi">10.18653/v1/W17-5210</identifier>
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%0 Conference Proceedings
%T Toward Stance Classification Based on Claim Microstructures
%A Boltužić, Filip
%A Šnajder, Jan
%Y Balahur, Alexandra
%Y Mohammad, Saif M.
%Y van der Goot, Erik
%S Proceedings of the 8th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis
%D 2017
%8 September
%I Association for Computational Linguistics
%C Copenhagen, Denmark
%F boltuzic-snajder-2017-toward
%X Claims are the building blocks of arguments and the reasons underpinning opinions, thus analyzing claims is important for both argumentation mining and opinion mining. We propose a framework for representing claims as microstructures, which express the beliefs, judgments, and policies about the relations between domain-specific concepts. In a proof-of-concept study, we manually build microstructures for over 800 claims extracted from an online debate. We test the so-obtained microstructures on the task of claim stance classification, achieving considerable improvements over text-based baselines.
%R 10.18653/v1/W17-5210
%U https://aclanthology.org/W17-5210
%U https://doi.org/10.18653/v1/W17-5210
%P 74-80

Markdown (Informal)

[Toward Stance Classification Based on Claim Microstructures](https://aclanthology.org/W17-5210) (Boltužić & Šnajder, WASSA 2017)

• Toward Stance Classification Based on Claim Microstructures (Boltužić & Šnajder, WASSA 2017)

ACL

• Filip Boltužić and Jan Šnajder. 2017. Toward Stance Classification Based on Claim Microstructures. In Proceedings of the 8th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, pages 74–80, Copenhagen, Denmark. Association for Computational Linguistics.