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        <title>Toward Stance-based Personas for Opinionated Dialogues</title>
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    <name type="personal">
        <namePart type="given">Thomas</namePart>
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    <name type="personal">
        <namePart type="given">Serra</namePart>
        <namePart type="given">Sinem</namePart>
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    <name type="personal">
        <namePart type="given">Jacopo</namePart>
        <namePart type="family">Staiano</namePart>
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    <name type="personal">
        <namePart type="given">Marco</namePart>
        <namePart type="family">Guerini</namePart>
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            <namePart type="given">Trevor</namePart>
            <namePart type="family">Cohn</namePart>
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            <namePart type="given">Yulan</namePart>
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        <name type="personal">
            <namePart type="given">Yang</namePart>
            <namePart type="family">Liu</namePart>
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    <abstract>In the context of chit-chat dialogues it has been shown that endowing systems with a persona profile is important to produce more coherent and meaningful conversations. Still, the representation of such personas has thus far been limited to a fact-based representation (e.g. “I have two cats.”). We argue that these representations remain superficial w.r.t. the complexity of human personality. In this work, we propose to make a step forward and investigate stance-based persona, trying to grasp more profound characteristics, such as opinions, values, and beliefs to drive language generation. To this end, we introduce a novel dataset allowing to explore different stance-based persona representations and their impact on claim generation, showing that they are able to grasp abstract and profound aspects of the author persona.</abstract>
    <identifier type="citekey">scialom-etal-2020-toward</identifier>
    <identifier type="doi">10.18653/v1/2020.findings-emnlp.238</identifier>
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        <date>2020-11</date>
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            <start>2625</start>
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%0 Conference Proceedings
%T Toward Stance-based Personas for Opinionated Dialogues
%A Scialom, Thomas
%A Tekiroğlu, Serra Sinem
%A Staiano, Jacopo
%A Guerini, Marco
%Y Cohn, Trevor
%Y He, Yulan
%Y Liu, Yang
%S Findings of the Association for Computational Linguistics: EMNLP 2020
%D 2020
%8 November
%I Association for Computational Linguistics
%C Online
%F scialom-etal-2020-toward
%X In the context of chit-chat dialogues it has been shown that endowing systems with a persona profile is important to produce more coherent and meaningful conversations. Still, the representation of such personas has thus far been limited to a fact-based representation (e.g. “I have two cats.”). We argue that these representations remain superficial w.r.t. the complexity of human personality. In this work, we propose to make a step forward and investigate stance-based persona, trying to grasp more profound characteristics, such as opinions, values, and beliefs to drive language generation. To this end, we introduce a novel dataset allowing to explore different stance-based persona representations and their impact on claim generation, showing that they are able to grasp abstract and profound aspects of the author persona.
%R 10.18653/v1/2020.findings-emnlp.238
%U https://aclanthology.org/2020.findings-emnlp.238
%U https://doi.org/10.18653/v1/2020.findings-emnlp.238
%P 2625-2635

Markdown (Informal)

[Toward Stance-based Personas for Opinionated Dialogues](https://aclanthology.org/2020.findings-emnlp.238) (Scialom et al., Findings 2020)

• Toward Stance-based Personas for Opinionated Dialogues (Scialom et al., Findings 2020)

ACL

• Thomas Scialom, Serra Sinem Tekiroğlu, Jacopo Staiano, and Marco Guerini. 2020. Toward Stance-based Personas for Opinionated Dialogues. In Findings of the Association for Computational Linguistics: EMNLP 2020, pages 2625–2635, Online. Association for Computational Linguistics.