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    <titleInfo>
        <title>Agreement and Disagreement: Comparison of Points of View in the Political Domain</title>
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    <name type="personal">
        <namePart type="given">Stefano</namePart>
        <namePart type="family">Menini</namePart>
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    <name type="personal">
        <namePart type="given">Sara</namePart>
        <namePart type="family">Tonelli</namePart>
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            <title>Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers</title>
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        <name type="personal">
            <namePart type="given">Yuji</namePart>
            <namePart type="family">Matsumoto</namePart>
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                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
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        <name type="personal">
            <namePart type="given">Rashmi</namePart>
            <namePart type="family">Prasad</namePart>
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                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
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            <publisher>The COLING 2016 Organizing Committee</publisher>
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    <abstract>The automated comparison of points of view between two politicians is a very challenging task, due not only to the lack of annotated resources, but also to the different dimensions participating to the definition of agreement and disagreement. In order to shed light on this complex task, we first carry out a pilot study to manually annotate the components involved in detecting agreement and disagreement. Then, based on these findings, we implement different features to capture them automatically via supervised classification. We do not focus on debates in dialogical form, but we rather consider sets of documents, in which politicians may express their position with respect to different topics in an implicit or explicit way, like during an electoral campaign. We create and make available three different datasets.</abstract>
    <identifier type="citekey">menini-tonelli-2016-agreement</identifier>
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        <url>https://aclanthology.org/C16-1232</url>
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    <part>
        <date>2016-12</date>
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%0 Conference Proceedings
%T Agreement and Disagreement: Comparison of Points of View in the Political Domain
%A Menini, Stefano
%A Tonelli, Sara
%Y Matsumoto, Yuji
%Y Prasad, Rashmi
%S Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers
%D 2016
%8 December
%I The COLING 2016 Organizing Committee
%C Osaka, Japan
%F menini-tonelli-2016-agreement
%X The automated comparison of points of view between two politicians is a very challenging task, due not only to the lack of annotated resources, but also to the different dimensions participating to the definition of agreement and disagreement. In order to shed light on this complex task, we first carry out a pilot study to manually annotate the components involved in detecting agreement and disagreement. Then, based on these findings, we implement different features to capture them automatically via supervised classification. We do not focus on debates in dialogical form, but we rather consider sets of documents, in which politicians may express their position with respect to different topics in an implicit or explicit way, like during an electoral campaign. We create and make available three different datasets.
%U https://aclanthology.org/C16-1232
%P 2461-2470

Markdown (Informal)

[Agreement and Disagreement: Comparison of Points of View in the Political Domain](https://aclanthology.org/C16-1232) (Menini & Tonelli, COLING 2016)

• Agreement and Disagreement: Comparison of Points of View in the Political Domain (Menini & Tonelli, COLING 2016)

ACL

• Stefano Menini and Sara Tonelli. 2016. Agreement and Disagreement: Comparison of Points of View in the Political Domain. In Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers, pages 2461–2470, Osaka, Japan. The COLING 2016 Organizing Committee.