Institute of Artificial Intelligence

Publication Details

Argumentation Quality Assessment

Theory vs. Practice

authored by: Henning Wachsmuth, Nona Naderi, Ivan Habernal, Yufang Hou, Graeme Hirst, Iryna Gurevych, Benno Stein
Abstract: Argumentation quality is viewed differently in argumentation theory and in practical assessment approaches. This paper studies to what extent the views match empirically. We find that most observations on quality phrased spontaneously are in fact adequately represented by theory. Even more, relative comparisons of arguments in practice correlate with absolute quality ratings based on theory. Our results clarify how the two views can learn from each other.
External Organisation(s): Bauhaus-Universität Weimar
University of Toronto
Technische Universität Darmstadt
IBM Research Europe
Type: Conference contribution
Pages: 250-255
No. of pages: 6
Publication date: 07.2017
Publication status: Published
Peer reviewed: Yes
ASJC Scopus subject areas: Language and Linguistics, Artificial Intelligence, Software, Linguistics and Language
Electronic version(s): https://doi.org/10.18653/v1/P17-2039 (Access: Open)

BibTeX

@inproceedings{fe3dd0244201471d93e569a18f055e4a,
title = "Argumentation Quality Assessment: Theory vs. Practice",
abstract = "Argumentation quality is viewed differently in argumentation theory and in practical assessment approaches. This paper studies to what extent the views match empirically. We find that most observations on quality phrased spontaneously are in fact adequately represented by theory. Even more, relative comparisons of arguments in practice correlate with absolute quality ratings based on theory. Our results clarify how the two views can learn from each other.",
author = "Henning Wachsmuth and Nona Naderi and Ivan Habernal and Yufang Hou and Graeme Hirst and Iryna Gurevych and Benno Stein",
note = "Funding Information: We thank Vinodkumar Prabhakaran and Yonatan Bilu for their ongoing participation in our research on argumentation quality. Also, we acknowledge financial support of the DFG (ArguAna, AIPHES), the Natural Sciences and Engineering Research Council of Canada, and the Volkswagen Foundation (Lichtenberg-Professorship Program).; 55th Annual Meeting of the Association for Computational Linguistics, ACL 2017 ; Conference date: 30-07-2017 Through 04-08-2017",
year = "2017",
month = jul,
doi = "10.18653/v1/P17-2039",
language = "English",
pages = "250--255",
booktitle = "Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Short Papers)",
publisher = "Association for Computational Linguistics (ACL)",
}

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