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        <title>Before Name-Calling: Dynamics and Triggers of Ad Hominem Fallacies in Web Argumentation</title>
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        <namePart type="given">Ivan</namePart>
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        <namePart type="given">Iryna</namePart>
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    <name type="personal">
        <namePart type="given">Benno</namePart>
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            <namePart type="given">Marilyn</namePart>
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            <namePart type="given">Amanda</namePart>
            <namePart type="family">Stent</namePart>
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    <abstract>Arguing without committing a fallacy is one of the main requirements of an ideal debate. But even when debating rules are strictly enforced and fallacious arguments punished, arguers often lapse into attacking the opponent by an ad hominem argument. As existing research lacks solid empirical investigation of the typology of ad hominem arguments as well as their potential causes, this paper fills this gap by (1) performing several large-scale annotation studies, (2) experimenting with various neural architectures and validating our working hypotheses, such as controversy or reasonableness, and (3) providing linguistic insights into triggers of ad hominem using explainable neural network architectures.</abstract>
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%0 Conference Proceedings
%T Before Name-Calling: Dynamics and Triggers of Ad Hominem Fallacies in Web Argumentation
%A Habernal, Ivan
%A Wachsmuth, Henning
%A Gurevych, Iryna
%A Stein, Benno
%Y Walker, Marilyn
%Y Ji, Heng
%Y Stent, Amanda
%S Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers)
%D 2018
%8 June
%I Association for Computational Linguistics
%C New Orleans, Louisiana
%F habernal-etal-2018-name
%X Arguing without committing a fallacy is one of the main requirements of an ideal debate. But even when debating rules are strictly enforced and fallacious arguments punished, arguers often lapse into attacking the opponent by an ad hominem argument. As existing research lacks solid empirical investigation of the typology of ad hominem arguments as well as their potential causes, this paper fills this gap by (1) performing several large-scale annotation studies, (2) experimenting with various neural architectures and validating our working hypotheses, such as controversy or reasonableness, and (3) providing linguistic insights into triggers of ad hominem using explainable neural network architectures.
%R 10.18653/v1/N18-1036
%U https://aclanthology.org/N18-1036
%U https://doi.org/10.18653/v1/N18-1036
%P 386-396

Markdown (Informal)

[Before Name-Calling: Dynamics and Triggers of Ad Hominem Fallacies in Web Argumentation](https://aclanthology.org/N18-1036) (Habernal et al., NAACL 2018)

• Before Name-Calling: Dynamics and Triggers of Ad Hominem Fallacies in Web Argumentation (Habernal et al., NAACL 2018)

ACL

• Ivan Habernal, Henning Wachsmuth, Iryna Gurevych, and Benno Stein. 2018. Before Name-Calling: Dynamics and Triggers of Ad Hominem Fallacies in Web Argumentation. In Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers), pages 386–396, New Orleans, Louisiana. Association for Computational Linguistics.