3,717 research outputs found
Entity linking on microblogs with spatial and temporal signals
Invited for oral presentation at Conference on Empirical Methods on Natural Language Processing EMNLP 2014, October 25-29, Doha, Qatar</p
Argotario: Computational Argumentation Meets Serious Games
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.Comment: EMNLP 2017 demo paper. Source codes:
https://github.com/UKPLab/argotari
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