Modeling Persuasive Discourse to Adaptively Support Students’ Argumentative Writing

Thiemo Wambsganss, Christina Niklaus


Abstract
We introduce an argumentation annotation approach to model the structure of argumentative discourse in student-written business model pitches. Additionally, the annotation scheme captures a series of persuasiveness scores such as the specificity, strength, evidence, and relevance of the pitch and the individual components. Based on this scheme, we annotated a corpus of 200 business model pitches in German. Moreover, we trained predictive models to detect argumentative discourse structures and embedded them in an adaptive writing support system for students that provides them with individual argumentation feedback independent of an instructor, time, and location. We evaluated our tool in a real-world writing exercise and found promising results for the measured self-efficacy and perceived ease-of-use. Finally, we present our freely available corpus of persuasive business model pitches with 3,207 annotated sentences in German language and our annotation guidelines.
Anthology ID:
2022.acl-long.599
Volume:
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Month:
May
Year:
2022
Address:
Dublin, Ireland
Editors:
Smaranda Muresan, Preslav Nakov, Aline Villavicencio
Venue:
ACL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
8748–8760
Language:
URL:
https://aclanthology.org/2022.acl-long.599
DOI:
10.18653/v1/2022.acl-long.599
Bibkey:
Cite (ACL):
Thiemo Wambsganss and Christina Niklaus. 2022. Modeling Persuasive Discourse to Adaptively Support Students’ Argumentative Writing. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 8748–8760, Dublin, Ireland. Association for Computational Linguistics.
Cite (Informal):
Modeling Persuasive Discourse to Adaptively Support Students’ Argumentative Writing (Wambsganss & Niklaus, ACL 2022)
Copy Citation:
PDF:
https://preview.aclanthology.org/dois-2013-emnlp/2022.acl-long.599.pdf
Software:
 2022.acl-long.599.software.zip
Code
 thiemowa/-argumentative_business_model_pitches