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Argotario: Computational Argumentation Meets Serious Games

Habernal, Ivan ; Hannemann, Raffael ; Pollak, Christian ; Klamm, Christopher ; Pauli, Patrick ; Gurevych, Iryna (2017)
Argotario: Computational Argumentation Meets Serious Games.
Copenhagen, Denmark
Konferenzveröffentlichung, Bibliographie

Kurzbeschreibung (Abstract)

An important skill in critical thinking and argumentation is the ability to spot and recognize fallacies. Fallacious arguments, omnipresent in argumentative discourse, can be deceptive, manipulative, or simply leading to 'wrong moves' in a discussion. Despite their importance, argumentation scholars and NLP researchers with focus on argumentation quality have not yet investigated fallacies empirically. The nonexistence of resources dealing with fallacious argumentation calls for scalable approaches to data acquisition and annotation, for which the serious games methodology offers an appealing, yet unexplored, alternative. We present Argotario, a serious game that deals with fallacies in everyday argumentation. Argotario is a multilingual, open-source, platform-independent application with strong educational aspects, accessible at www.argotario.net.

Typ des Eintrags: Konferenzveröffentlichung
Erschienen: 2017
Autor(en): Habernal, Ivan ; Hannemann, Raffael ; Pollak, Christian ; Klamm, Christopher ; Pauli, Patrick ; Gurevych, Iryna
Art des Eintrags: Bibliographie
Titel: Argotario: Computational Argumentation Meets Serious Games
Sprache: Englisch
Publikationsjahr: September 2017
Verlag: Association for Computational Linguistics
Buchtitel: Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing: System Demonstrations
Veranstaltungsort: Copenhagen, Denmark
URL / URN: http://aclweb.org/anthology/D17-2002
Zugehörige Links:
Kurzbeschreibung (Abstract):

An important skill in critical thinking and argumentation is the ability to spot and recognize fallacies. Fallacious arguments, omnipresent in argumentative discourse, can be deceptive, manipulative, or simply leading to 'wrong moves' in a discussion. Despite their importance, argumentation scholars and NLP researchers with focus on argumentation quality have not yet investigated fallacies empirically. The nonexistence of resources dealing with fallacious argumentation calls for scalable approaches to data acquisition and annotation, for which the serious games methodology offers an appealing, yet unexplored, alternative. We present Argotario, a serious game that deals with fallacies in everyday argumentation. Argotario is a multilingual, open-source, platform-independent application with strong educational aspects, accessible at www.argotario.net.

Freie Schlagworte: UKP_a_ArMin;UKP_p_ArguAna
ID-Nummer: TUD-CS-2017-0155
Fachbereich(e)/-gebiet(e): 20 Fachbereich Informatik
20 Fachbereich Informatik > Ubiquitäre Wissensverarbeitung
DFG-Graduiertenkollegs
DFG-Graduiertenkollegs > Graduiertenkolleg 1994 Adaptive Informationsaufbereitung aus heterogenen Quellen
Hinterlegungsdatum: 04 Jul 2017 14:23
Letzte Änderung: 24 Jan 2020 12:03
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