Wachsmuth, Henning ; Naderi, Nona ; Habernal, Ivan ; Hou, Yufang ; Hirst, Graeme ; Gurevych, Iryna ; Stein, Benno (2017)
Argumentation Quality Assessment: Theory vs. Practice.
Vancouver, Canada
Konferenzveröffentlichung, Bibliographie
Kurzbeschreibung (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.
Typ des Eintrags: | Konferenzveröffentlichung |
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Erschienen: | 2017 |
Autor(en): | Wachsmuth, Henning ; Naderi, Nona ; Habernal, Ivan ; Hou, Yufang ; Hirst, Graeme ; Gurevych, Iryna ; Stein, Benno |
Art des Eintrags: | Bibliographie |
Titel: | Argumentation Quality Assessment: Theory vs. Practice |
Sprache: | Englisch |
Publikationsjahr: | August 2017 |
Verlag: | Association for Computational Linguistics |
Buchtitel: | Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (ACL 2017) |
Band einer Reihe: | Volume 2: Short Papers |
Veranstaltungsort: | Vancouver, Canada |
URL / URN: | http://aclweb.org/anthology/P17-2039 |
Kurzbeschreibung (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. |
Freie Schlagworte: | UKP_a_ArMin;UKP_p_ArguAna |
ID-Nummer: | TUD-CS-2017-0072 |
Fachbereich(e)/-gebiet(e): | 20 Fachbereich Informatik 20 Fachbereich Informatik > Ubiquitäre Wissensverarbeitung DFG-Graduiertenkollegs DFG-Graduiertenkollegs > Graduiertenkolleg 1994 Adaptive Informationsaufbereitung aus heterogenen Quellen |
Hinterlegungsdatum: | 31 Mär 2017 14:23 |
Letzte Änderung: | 24 Jan 2020 12:03 |
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