Habernal, Ivan and Pauli, Patrick and Gurevych, Iryna (2018):
Adapting Serious Game for Fallacious Argumentation to German: Pitfalls, Insights, and Best Practices.
In: Proceedings of the 11th International Conference on Language Resources and Evaluation (LREC), pp. 3329-3335, European Language Resources Association, [Book Section]
Abstract
As argumentation about controversies is culture- and language-dependent, porting a serious game that deals with daily argumentation to another language requires substantial adaptation. This article presents a study of deploying Argotario (serious game for learning argumentation fallacies) into the German context. We examine all steps that are necessary to end up with a successful serious game platform, such as topic selection, initial data creation, or effective campaigns. Moreover, we analyze users’ behavior and in-game created data in order to assess the dissemination strategies and qualitative aspects of the resulting corpus. We also report on classification experiments based on neural networks and feature-based models.
Item Type: | Book Section |
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Erschienen: | 2018 |
Creators: | Habernal, Ivan and Pauli, Patrick and Gurevych, Iryna |
Title: | Adapting Serious Game for Fallacious Argumentation to German: Pitfalls, Insights, and Best Practices |
Language: | English |
Abstract: | As argumentation about controversies is culture- and language-dependent, porting a serious game that deals with daily argumentation to another language requires substantial adaptation. This article presents a study of deploying Argotario (serious game for learning argumentation fallacies) into the German context. We examine all steps that are necessary to end up with a successful serious game platform, such as topic selection, initial data creation, or effective campaigns. Moreover, we analyze users’ behavior and in-game created data in order to assess the dissemination strategies and qualitative aspects of the resulting corpus. We also report on classification experiments based on neural networks and feature-based models. |
Title of Book: | Proceedings of the 11th International Conference on Language Resources and Evaluation (LREC) |
Publisher: | European Language Resources Association |
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: | Miyazaki, Japan |
Date Deposited: | 14 Dec 2017 15:20 |
Official URL: | http://www.lrec-conf.org/proceedings/lrec2018/summaries/494.... |
Identification Number: | TUD-CS-2018-0009 |
Corresponding Links: | |
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Suche nach Titel in: | TUfind oder in Google |
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