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), European Language Resources Association, pp. 3329-3335, [Online-Edition: http://www.lrec-conf.org/proceedings/lrec2018/summaries/494....],
[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 |
|---|---|
| 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 |
| Related URLs: | |
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