Argotario：计算论证遇到严肃游戏
Argotario: Computational Argumentation Meets Serious Games
摘要：
批判性思维和论证的一项重要技能是发现和识别谬误的能力。谬误的论点，在辩论话语中无处不在，可以是欺骗性的，操纵性的，或只是导致“错误的举动”的讨论。尽管它们的重要性，论证学者和NLP研究者的重点是论证质量还没有调查谬误经验。处理谬误论证的资源的不存在要求可扩展的方法来进行数据采集和注释，严肃的游戏方法提供了一个有吸引力的，但未探索的替代方案。我们提出Argotario，一个严肃的游戏，处理日常论证中的谬误。Argotario是一个多语言，开源，平台独立的应用程序，具有强大的教育方面，可在www.argotario.net访问。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
