[{"title":"The Moral Debater: A Study on the Computational Generation of Morally Framed Arguments","date_updated":"2025-02-20T08:22:46Z","author":[{"last_name":"Alshomary","full_name":"Alshomary, Milad","id":"73059","first_name":"Milad"},{"first_name":"Roxanne","full_name":"El Baff, Roxanne","last_name":"El Baff"},{"first_name":"Timon","last_name":"Gurcke","id":"52174","full_name":"Gurcke, Timon"},{"last_name":"Wachsmuth","full_name":"Wachsmuth, Henning","id":"3900","first_name":"Henning"}],"date_created":"2022-04-06T14:05:45Z","year":"2022","page":"8782 - 8797","citation":{"ieee":"M. Alshomary, R. El Baff, T. Gurcke, and H. Wachsmuth, “The Moral Debater: A Study on the Computational Generation of Morally Framed Arguments,” in <i>Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics</i>, 2022, pp. 8782–8797.","chicago":"Alshomary, Milad, Roxanne El Baff, Timon Gurcke, and Henning Wachsmuth. “The Moral Debater: A Study on the Computational Generation of Morally Framed Arguments.” In <i>Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics</i>, 8782–97, 2022.","ama":"Alshomary M, El Baff R, Gurcke T, Wachsmuth H. The Moral Debater: A Study on the Computational Generation of Morally Framed Arguments. In: <i>Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics</i>. ; 2022:8782-8797.","short":"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.","bibtex":"@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} }","mla":"Alshomary, Milad, et al. “The Moral Debater: A Study on the Computational Generation of Morally Framed Arguments.” <i>Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics</i>, 2022, pp. 8782–97.","apa":"Alshomary, M., El Baff, R., Gurcke, T., &#38; Wachsmuth, H. (2022). The Moral Debater: A Study on the Computational Generation of Morally Framed Arguments. <i>Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics</i>, 8782–8797."},"language":[{"iso":"eng"}],"_id":"30840","project":[{"_id":"118","name":"TRR 318 - INF: TRR 318 - Project Area INF"}],"department":[{"_id":"600"},{"_id":"660"}],"user_id":"3900","status":"public","publication":"Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics","type":"conference"},{"main_file_link":[{"url":"https://aclanthology.org/2021.argmining-1.19.pdf"}],"title":"Key Point Analysis via Contrastive Learning and Extractive Argument Summarization","date_created":"2021-10-04T12:40:02Z","author":[{"full_name":"Alshomary, Milad","id":"73059","last_name":"Alshomary","first_name":"Milad"},{"first_name":"Timon","id":"52174","full_name":"Gurcke, Timon","last_name":"Gurcke"},{"first_name":"Shahbaz","full_name":"Syed, Shahbaz","last_name":"Syed"},{"first_name":"Philipp","last_name":"Heinisch","full_name":"Heinisch, Philipp"},{"first_name":"Maximilian","last_name":"Spliethöver","orcid":"0000-0003-4364-1409","id":"84035","full_name":"Spliethöver, Maximilian"},{"full_name":"Cimiano, Philipp","last_name":"Cimiano","first_name":"Philipp"},{"full_name":"Potthast, Martin","last_name":"Potthast","first_name":"Martin"},{"first_name":"Henning","full_name":"Wachsmuth, Henning","id":"3900","last_name":"Wachsmuth"}],"date_updated":"2022-03-08T12:47:33Z","page":"184 - 189","citation":{"apa":"Alshomary, M., Gurcke, T., Syed, S., Heinisch, P., Spliethöver, M., Cimiano, P., Potthast, M., &#38; Wachsmuth, H. (2021). Key Point Analysis via Contrastive Learning and Extractive Argument Summarization. <i>Proceedings of the 8th Workshop on Argument Mining</i>, 184–189.","short":"M. Alshomary, T. Gurcke, S. Syed, P. Heinisch, M. Spliethöver, P. Cimiano, M. Potthast, H. Wachsmuth, in: Proceedings of the 8th Workshop on Argument Mining, 2021, pp. 184–189.","bibtex":"@inproceedings{Alshomary_Gurcke_Syed_Heinisch_Spliethöver_Cimiano_Potthast_Wachsmuth_2021, title={Key Point Analysis via Contrastive Learning and Extractive Argument Summarization}, booktitle={Proceedings of the 8th Workshop on Argument Mining}, author={Alshomary, Milad and Gurcke, Timon and Syed, Shahbaz and Heinisch, Philipp and Spliethöver, Maximilian and Cimiano, Philipp and Potthast, Martin and Wachsmuth, Henning}, year={2021}, pages={184–189} }","mla":"Alshomary, Milad, et al. “Key Point Analysis via Contrastive Learning and Extractive Argument Summarization.” <i>Proceedings of the 8th Workshop on Argument Mining</i>, 2021, pp. 184–89.","chicago":"Alshomary, Milad, Timon Gurcke, Shahbaz Syed, Philipp Heinisch, Maximilian Spliethöver, Philipp Cimiano, Martin Potthast, and Henning Wachsmuth. “Key Point Analysis via Contrastive Learning and Extractive Argument Summarization.” In <i>Proceedings of the 8th Workshop on Argument Mining</i>, 184–89, 2021.","ieee":"M. Alshomary <i>et al.</i>, “Key Point Analysis via Contrastive Learning and Extractive Argument Summarization,” in <i>Proceedings of the 8th Workshop on Argument Mining</i>, 2021, pp. 184–189.","ama":"Alshomary M, Gurcke T, Syed S, et al. Key Point Analysis via Contrastive Learning and Extractive Argument Summarization. In: <i>Proceedings of the 8th Workshop on Argument Mining</i>. ; 2021:184-189."},"year":"2021","language":[{"iso":"eng"}],"department":[{"_id":"600"}],"user_id":"82920","_id":"25297","status":"public","publication":"Proceedings of the 8th Workshop on Argument Mining","type":"conference"},{"main_file_link":[{"url":"https://aclanthology.org/2021.argmining-1.7.pdf"}],"title":"Assessing the Sufficiency of Arguments through Conclusion Generation","date_created":"2021-10-04T12:38:02Z","author":[{"first_name":"Timon","last_name":"Gurcke","full_name":"Gurcke, Timon","id":"52174"},{"last_name":"Alshomary","id":"73059","full_name":"Alshomary, Milad","first_name":"Milad"},{"last_name":"Wachsmuth","id":"3900","full_name":"Wachsmuth, Henning","first_name":"Henning"}],"date_updated":"2022-05-06T08:48:51Z","page":"67 - 77","citation":{"chicago":"Gurcke, Timon, Milad Alshomary, and Henning Wachsmuth. “Assessing the Sufficiency of Arguments through Conclusion Generation.” In <i>Proceedings of the 8th Workshop on Argument Mining</i>, 67–77, 2021.","ieee":"T. Gurcke, M. Alshomary, and H. Wachsmuth, “Assessing the Sufficiency of Arguments through Conclusion Generation,” in <i>Proceedings of the 8th Workshop on Argument Mining</i>, 2021, pp. 67–77.","ama":"Gurcke T, Alshomary M, Wachsmuth H. Assessing the Sufficiency of Arguments through Conclusion Generation. In: <i>Proceedings of the 8th Workshop on Argument Mining</i>. ; 2021:67-77.","apa":"Gurcke, T., Alshomary, M., &#38; Wachsmuth, H. (2021). Assessing the Sufficiency of Arguments through Conclusion Generation. <i>Proceedings of the 8th Workshop on Argument Mining</i>, 67–77.","mla":"Gurcke, Timon, et al. “Assessing the Sufficiency of Arguments through Conclusion Generation.” <i>Proceedings of the 8th Workshop on Argument Mining</i>, 2021, pp. 67–77.","bibtex":"@inproceedings{Gurcke_Alshomary_Wachsmuth_2021, title={Assessing the Sufficiency of Arguments through Conclusion Generation}, booktitle={Proceedings of the 8th Workshop on Argument Mining}, author={Gurcke, Timon and Alshomary, Milad and Wachsmuth, Henning}, year={2021}, pages={67–77} }","short":"T. Gurcke, M. Alshomary, H. Wachsmuth, in: Proceedings of the 8th Workshop on Argument Mining, 2021, pp. 67–77."},"year":"2021","language":[{"iso":"eng"}],"department":[{"_id":"600"}],"user_id":"52174","_id":"25295","project":[{"_id":"52","name":"PC2: Computing Resources Provided by the Paderborn Center for Parallel Computing"}],"status":"public","publication":"Proceedings of the 8th Workshop on Argument Mining","type":"conference"},{"page":"224-233","citation":{"bibtex":"@inproceedings{Alshomary_Chen_Gurcke_Wachsmuth_2021, title={Belief-based Generation of Argumentative Claims}, DOI={<a href=\"https://doi.org/10.18653/v1/2021.eacl-main.17\">10.18653/v1/2021.eacl-main.17</a>}, booktitle={Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume}, publisher={Association for Computational Linguistics}, author={Alshomary, Milad and Chen, Wei-Fan and Gurcke, Timon and Wachsmuth, Henning}, year={2021}, pages={224–233} }","mla":"Alshomary, Milad, et al. “Belief-Based Generation of Argumentative Claims.” <i>Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume</i>, Association for Computational Linguistics, 2021, pp. 224–33, doi:<a href=\"https://doi.org/10.18653/v1/2021.eacl-main.17\">10.18653/v1/2021.eacl-main.17</a>.","short":"M. Alshomary, W.-F. Chen, T. Gurcke, H. Wachsmuth, in: Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, Association for Computational Linguistics, 2021, pp. 224–233.","apa":"Alshomary, M., Chen, W.-F., Gurcke, T., &#38; Wachsmuth, H. (2021). Belief-based Generation of Argumentative Claims. <i>Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume</i>, 224–233. <a href=\"https://doi.org/10.18653/v1/2021.eacl-main.17\">https://doi.org/10.18653/v1/2021.eacl-main.17</a>","ama":"Alshomary M, Chen W-F, Gurcke T, Wachsmuth H. Belief-based Generation of Argumentative Claims. In: <i>Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume</i>. Association for Computational Linguistics; 2021:224-233. doi:<a href=\"https://doi.org/10.18653/v1/2021.eacl-main.17\">10.18653/v1/2021.eacl-main.17</a>","chicago":"Alshomary, Milad, Wei-Fan Chen, Timon Gurcke, and Henning Wachsmuth. “Belief-Based Generation of Argumentative Claims.” In <i>Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume</i>, 224–33. Association for Computational Linguistics, 2021. <a href=\"https://doi.org/10.18653/v1/2021.eacl-main.17\">https://doi.org/10.18653/v1/2021.eacl-main.17</a>.","ieee":"M. Alshomary, W.-F. Chen, T. Gurcke, and H. Wachsmuth, “Belief-based Generation of Argumentative Claims,” in <i>Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume</i>, Online, 2021, pp. 224–233, doi: <a href=\"https://doi.org/10.18653/v1/2021.eacl-main.17\">10.18653/v1/2021.eacl-main.17</a>."},"year":"2021","doi":"10.18653/v1/2021.eacl-main.17","conference":{"location":"Online","name":"Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume"},"main_file_link":[{"url":"https://www.aclweb.org/anthology/2021.eacl-main.17"}],"title":"Belief-based Generation of Argumentative Claims","author":[{"last_name":"Alshomary","id":"73059","full_name":"Alshomary, Milad","first_name":"Milad"},{"first_name":"Wei-Fan","id":"82920","full_name":"Chen, Wei-Fan","last_name":"Chen"},{"first_name":"Timon","last_name":"Gurcke","full_name":"Gurcke, Timon","id":"52174"},{"id":"3900","full_name":"Wachsmuth, Henning","last_name":"Wachsmuth","first_name":"Henning"}],"date_created":"2021-02-05T08:00:07Z","date_updated":"2026-02-23T16:06:41Z","publisher":"Association for Computational Linguistics","status":"public","abstract":[{"text":"When engaging in argumentative discourse, skilled human debaters tailor\r\nclaims to the beliefs of the audience, to construct effective arguments.\r\nRecently, the field of computational argumentation witnessed extensive effort\r\nto address the automatic generation of arguments. However, existing approaches\r\ndo not perform any audience-specific adaptation. In this work, we aim to bridge\r\nthis gap by studying the task of belief-based claim generation: Given a\r\ncontroversial topic and a set of beliefs, generate an argumentative claim\r\ntailored to the beliefs. To tackle this task, we model the people's prior\r\nbeliefs through their stances on controversial topics and extend\r\nstate-of-the-art text generation models to generate claims conditioned on the\r\nbeliefs. Our automatic evaluation confirms the ability of our approach to adapt\r\nclaims to a set of given beliefs. In a manual study, we additionally evaluate\r\nthe generated claims in terms of informativeness and their likelihood to be\r\nuttered by someone with a respective belief. Our results reveal the limitations\r\nof modeling users' beliefs based on their stances, but demonstrate the\r\npotential of encoding beliefs into argumentative texts, laying the ground for\r\nfuture exploration of audience reach.","lang":"eng"}],"publication":"Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume","type":"conference","language":[{"iso":"eng"}],"department":[{"_id":"600"}],"user_id":"14972","_id":"21178","project":[{"name":"SFB 901: SFB 901","_id":"1"},{"_id":"3","name":"SFB 901 - B: SFB 901 - Project Area B"},{"name":"SFB 901 - B1: SFB 901 - Subproject B1","_id":"9"}]}]