The Moral Debater: A Study on the Computational Generation of Morally Framed Arguments
M. Alshomary, R. El Baff, T. Gurcke, H. Wachsmuth, in: Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics, 2022, pp. 8782–8797.
Download
No fulltext has been uploaded.
Conference Paper
| English
Author
Department
Publishing Year
Proceedings Title
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics
Page
8782 - 8797
LibreCat-ID
Cite this
Alshomary M, El Baff R, Gurcke T, Wachsmuth H. The Moral Debater: A Study on the Computational Generation of Morally Framed Arguments. In: Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics. ; 2022:8782-8797.
Alshomary, M., El Baff, R., Gurcke, T., & Wachsmuth, H. (2022). The Moral Debater: A Study on the Computational Generation of Morally Framed Arguments. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics, 8782–8797.
@inproceedings{Alshomary_El Baff_Gurcke_Wachsmuth_2022, title={The Moral Debater: A Study on the Computational Generation of Morally Framed Arguments}, booktitle={Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics}, author={Alshomary, Milad and El Baff, Roxanne and Gurcke, Timon and Wachsmuth, Henning}, year={2022}, pages={8782–8797} }
Alshomary, Milad, Roxanne El Baff, Timon Gurcke, and Henning Wachsmuth. “The Moral Debater: A Study on the Computational Generation of Morally Framed Arguments.” In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics, 8782–97, 2022.
M. Alshomary, R. El Baff, T. Gurcke, and H. Wachsmuth, “The Moral Debater: A Study on the Computational Generation of Morally Framed Arguments,” in Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics, 2022, pp. 8782–8797.
Alshomary, Milad, et al. “The Moral Debater: A Study on the Computational Generation of Morally Framed Arguments.” Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics, 2022, pp. 8782–97.
Google Scholar