TU Darmstadt / ULB / TUbiblio

Argotario: Computational Argumentation Meets Serious Games

Habernal, Ivan and Hannemann, Raffael and Pollak, Christian and Klamm, Christopher and Pauli, Patrick and Gurevych, Iryna (2017):
Argotario: Computational Argumentation Meets Serious Games.
In: Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, Association for Computational Linguistics, Copenhagen, Denmark, [Online-Edition: http://aclweb.org/anthology/D17-2002],
[Conference or Workshop Item]

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.

Item Type: Conference or Workshop Item
Erschienen: 2017
Creators: Habernal, Ivan and Hannemann, Raffael and Pollak, Christian and Klamm, Christopher and Pauli, Patrick and Gurevych, Iryna
Title: Argotario: Computational Argumentation Meets Serious Games
Language: English
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.

Title of Book: Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing: System Demonstrations
Publisher: Association for Computational Linguistics
Uncontrolled Keywords: UKP_a_ArMin;UKP_p_ArguAna
Divisions: 20 Department of Computer Science
20 Department of Computer Science > Ubiquitous Knowledge Processing
DFG-Graduiertenkollegs
DFG-Graduiertenkollegs > Research Training Group 1994 Adaptive Preparation of Information from Heterogeneous Sources
Event Location: Copenhagen, Denmark
Date Deposited: 04 Jul 2017 14:23
Official URL: http://aclweb.org/anthology/D17-2002
Identification Number: TUD-CS-2017-0155
Related URLs:
Export:
Suche nach Titel in: TUfind oder in Google

Optionen (nur für Redakteure)

View Item View Item