Habernal, Ivan ; Pauli, Patrick ; 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)
Buchkapitel, Bibliographie
Kurzbeschreibung (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.
| Typ des Eintrags: | Buchkapitel |
|---|---|
| Erschienen: | 2018 |
| Autor(en): | Habernal, Ivan ; Pauli, Patrick ; Gurevych, Iryna |
| Art des Eintrags: | Bibliographie |
| Titel: | Adapting Serious Game for Fallacious Argumentation to German: Pitfalls, Insights, and Best Practices |
| Sprache: | Englisch |
| Publikationsjahr: | Mai 2018 |
| Verlag: | European Language Resources Association |
| Buchtitel: | Proceedings of the 11th International Conference on Language Resources and Evaluation (LREC) |
| Veranstaltungsort: | Miyazaki, Japan |
| URL / URN: | http://www.lrec-conf.org/proceedings/lrec2018/summaries/494.... |
| Zugehörige Links: | |
| Kurzbeschreibung (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. |
| Freie Schlagworte: | UKP_a_ArMin;UKP_p_ArguAna |
| ID-Nummer: | TUD-CS-2018-0009 |
| Fachbereich(e)/-gebiet(e): | 20 Fachbereich Informatik 20 Fachbereich Informatik > Ubiquitäre Wissensverarbeitung DFG-Graduiertenkollegs DFG-Graduiertenkollegs > Graduiertenkolleg 1994 Adaptive Informationsaufbereitung aus heterogenen Quellen |
| Hinterlegungsdatum: | 14 Dez 2017 15:20 |
| Letzte Änderung: | 24 Jan 2020 12:03 |
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| Suche nach Titel in: | TUfind oder in Google |
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