Argotario: Computational Argumentation Meets Serious Games
Argotario: Computational Argumentation Meets Serious Games
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Argotario：计算论证遇见严肃游戏
DOI：
10.18653/v1/d17-2002
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发表时间：
2017
期刊：
影响因子：
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通讯作者：
Iryna Gurevych
中科院分区：
文献类型：
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作者：
Ivan Habernal;Raffael Hannemann;Christiana Pollak;Christopher Klamm;P. Pauli;Iryna Gurevych
批判性思维和论证的重要技能是发现谬论和谬论的能力。 NLP专注于论证质量的研究人员尚未从经验上研究谬论。数据采集和注释，为此，我们提供了一个出乎意料的，但出乎意料的替代方案。强大的教育方面，可在www.argotario.net上访问。
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.