--- _id: '22448' author: - first_name: Johannes full_name: Kiesel, Johannes last_name: Kiesel - first_name: Damiano full_name: Spina, Damiano last_name: Spina - first_name: Henning full_name: Wachsmuth, Henning id: '3900' last_name: Wachsmuth - first_name: Benno full_name: Stein, Benno last_name: Stein citation: ama: 'Kiesel J, Spina D, Wachsmuth H, Stein B. The Meant, the Said, and the Understood: Conversational Argument Search and Cognitive Biases. In: Proceedings of the 2021 Conversational User Interfaces Conference. ; 2021:1-5.' apa: 'Kiesel, J., Spina, D., Wachsmuth, H., & Stein, B. (2021). The Meant, the Said, and the Understood: Conversational Argument Search and Cognitive Biases. Proceedings of the 2021 Conversational User Interfaces Conference, 1–5.' bibtex: '@inproceedings{Kiesel_Spina_Wachsmuth_Stein_2021, title={The Meant, the Said, and the Understood: Conversational Argument Search and Cognitive Biases}, booktitle={Proceedings of the 2021 Conversational User Interfaces Conference}, author={Kiesel, Johannes and Spina, Damiano and Wachsmuth, Henning and Stein, Benno}, year={2021}, pages={1–5} }' chicago: 'Kiesel, Johannes, Damiano Spina, Henning Wachsmuth, and Benno Stein. “The Meant, the Said, and the Understood: Conversational Argument Search and Cognitive Biases.” In Proceedings of the 2021 Conversational User Interfaces Conference, 1–5, 2021.' ieee: 'J. Kiesel, D. Spina, H. Wachsmuth, and B. Stein, “The Meant, the Said, and the Understood: Conversational Argument Search and Cognitive Biases,” in Proceedings of the 2021 Conversational User Interfaces Conference, 2021, pp. 1–5.' mla: 'Kiesel, Johannes, et al. “The Meant, the Said, and the Understood: Conversational Argument Search and Cognitive Biases.” Proceedings of the 2021 Conversational User Interfaces Conference, 2021, pp. 1–5.' short: 'J. Kiesel, D. Spina, H. Wachsmuth, B. Stein, in: Proceedings of the 2021 Conversational User Interfaces Conference, 2021, pp. 1–5.' date_created: 2021-06-15T13:51:36Z date_updated: 2022-01-06T06:55:33Z department: - _id: '600' language: - iso: eng main_file_link: - url: https://dl.acm.org/doi/fullHtml/10.1145/3469595.3469615 page: 1-5 publication: Proceedings of the 2021 Conversational User Interfaces Conference status: public title: 'The Meant, the Said, and the Understood: Conversational Argument Search and Cognitive Biases' type: conference user_id: '82920' year: '2021' ... --- _id: '25297' author: - first_name: Milad full_name: Alshomary, Milad id: '73059' last_name: Alshomary - first_name: Timon full_name: Gurcke, Timon id: '52174' last_name: Gurcke - first_name: Shahbaz full_name: Syed, Shahbaz last_name: Syed - first_name: Philipp full_name: Heinisch, Philipp last_name: Heinisch - first_name: Maximilian full_name: Spliethöver, Maximilian id: '84035' last_name: Spliethöver orcid: 0000-0003-4364-1409 - first_name: Philipp full_name: Cimiano, Philipp last_name: Cimiano - first_name: Martin full_name: Potthast, Martin last_name: Potthast - first_name: Henning full_name: Wachsmuth, Henning id: '3900' last_name: Wachsmuth citation: ama: 'Alshomary M, Gurcke T, Syed S, et al. Key Point Analysis via Contrastive Learning and Extractive Argument Summarization. In: Proceedings of the 8th Workshop on Argument Mining. ; 2021:184-189.' apa: Alshomary, M., Gurcke, T., Syed, S., Heinisch, P., Spliethöver, M., Cimiano, P., Potthast, M., & Wachsmuth, H. (2021). Key Point Analysis via Contrastive Learning and Extractive Argument Summarization. Proceedings of the 8th Workshop on Argument Mining, 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} }' 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 Proceedings of the 8th Workshop on Argument Mining, 184–89, 2021. ieee: M. Alshomary et al., “Key Point Analysis via Contrastive Learning and Extractive Argument Summarization,” in Proceedings of the 8th Workshop on Argument Mining, 2021, pp. 184–189. mla: Alshomary, Milad, et al. “Key Point Analysis via Contrastive Learning and Extractive Argument Summarization.” Proceedings of the 8th Workshop on Argument Mining, 2021, pp. 184–89. 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.' date_created: 2021-10-04T12:40:02Z date_updated: 2022-03-08T12:47:33Z department: - _id: '600' language: - iso: eng main_file_link: - url: https://aclanthology.org/2021.argmining-1.19.pdf page: 184 - 189 publication: Proceedings of the 8th Workshop on Argument Mining status: public title: Key Point Analysis via Contrastive Learning and Extractive Argument Summarization type: conference user_id: '82920' year: '2021' ... --- _id: '25294' author: - first_name: Zahra full_name: Nouri, Zahra id: '35802' last_name: Nouri - first_name: Nikhil full_name: Prakash, Nikhil last_name: Prakash - first_name: Ujwal full_name: Gadiraju, Ujwal last_name: Gadiraju - first_name: Henning full_name: Wachsmuth, Henning id: '3900' last_name: Wachsmuth citation: ama: 'Nouri Z, Prakash N, Gadiraju U, Wachsmuth H. iClarify - A Tool to Help Requesters Iteratively Improve Task Descriptions in Crowdsourcing. In: Proceedings of the Ninth AAAI Conference on Human Computation and Crowdsourcing, HCOMP 2021. ; 2021.' apa: Nouri, Z., Prakash, N., Gadiraju, U., & Wachsmuth, H. (2021). iClarify - A Tool to Help Requesters Iteratively Improve Task Descriptions in Crowdsourcing. Proceedings of the Ninth AAAI Conference on Human Computation and Crowdsourcing, HCOMP 2021. bibtex: '@inproceedings{Nouri_Prakash_Gadiraju_Wachsmuth_2021, title={iClarify - A Tool to Help Requesters Iteratively Improve Task Descriptions in Crowdsourcing}, booktitle={Proceedings of the Ninth AAAI Conference on Human Computation and Crowdsourcing, HCOMP 2021}, author={Nouri, Zahra and Prakash, Nikhil and Gadiraju, Ujwal and Wachsmuth, Henning}, year={2021} }' chicago: Nouri, Zahra, Nikhil Prakash, Ujwal Gadiraju, and Henning Wachsmuth. “IClarify - A Tool to Help Requesters Iteratively Improve Task Descriptions in Crowdsourcing.” In Proceedings of the Ninth AAAI Conference on Human Computation and Crowdsourcing, HCOMP 2021, 2021. ieee: Z. Nouri, N. Prakash, U. Gadiraju, and H. Wachsmuth, “iClarify - A Tool to Help Requesters Iteratively Improve Task Descriptions in Crowdsourcing,” 2021. mla: Nouri, Zahra, et al. “IClarify - A Tool to Help Requesters Iteratively Improve Task Descriptions in Crowdsourcing.” Proceedings of the Ninth AAAI Conference on Human Computation and Crowdsourcing, HCOMP 2021, 2021. short: 'Z. Nouri, N. Prakash, U. Gadiraju, H. Wachsmuth, in: Proceedings of the Ninth AAAI Conference on Human Computation and Crowdsourcing, HCOMP 2021, 2021.' date_created: 2021-10-04T12:35:50Z date_updated: 2022-03-08T12:46:44Z department: - _id: '600' language: - iso: eng main_file_link: - url: https://www.humancomputation.com/assets/wips_demos/HCOMP_2021_paper_111.pdf publication: Proceedings of the Ninth AAAI Conference on Human Computation and Crowdsourcing, HCOMP 2021 status: public title: iClarify - A Tool to Help Requesters Iteratively Improve Task Descriptions in Crowdsourcing type: conference user_id: '82920' year: '2021' ... --- _id: '25295' author: - first_name: Timon full_name: Gurcke, Timon id: '52174' last_name: Gurcke - first_name: Milad full_name: Alshomary, Milad id: '73059' last_name: Alshomary - first_name: Henning full_name: Wachsmuth, Henning id: '3900' last_name: Wachsmuth citation: ama: 'Gurcke T, Alshomary M, Wachsmuth H. Assessing the Sufficiency of Arguments through Conclusion Generation. In: Proceedings of the 8th Workshop on Argument Mining. ; 2021:67-77.' apa: Gurcke, T., Alshomary, M., & Wachsmuth, H. (2021). Assessing the Sufficiency of Arguments through Conclusion Generation. Proceedings of the 8th Workshop on Argument Mining, 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} }' chicago: Gurcke, Timon, Milad Alshomary, and Henning Wachsmuth. “Assessing the Sufficiency of Arguments through Conclusion Generation.” In Proceedings of the 8th Workshop on Argument Mining, 67–77, 2021. ieee: T. Gurcke, M. Alshomary, and H. Wachsmuth, “Assessing the Sufficiency of Arguments through Conclusion Generation,” in Proceedings of the 8th Workshop on Argument Mining, 2021, pp. 67–77. mla: Gurcke, Timon, et al. “Assessing the Sufficiency of Arguments through Conclusion Generation.” Proceedings of the 8th Workshop on Argument Mining, 2021, pp. 67–77. short: 'T. Gurcke, M. Alshomary, H. Wachsmuth, in: Proceedings of the 8th Workshop on Argument Mining, 2021, pp. 67–77.' date_created: 2021-10-04T12:38:02Z date_updated: 2022-05-06T08:48:51Z department: - _id: '600' language: - iso: eng main_file_link: - url: https://aclanthology.org/2021.argmining-1.7.pdf page: 67 - 77 project: - _id: '52' name: 'PC2: Computing Resources Provided by the Paderborn Center for Parallel Computing' publication: Proceedings of the 8th Workshop on Argument Mining status: public title: Assessing the Sufficiency of Arguments through Conclusion Generation type: conference user_id: '52174' year: '2021' ... --- _id: '21178' abstract: - lang: eng 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." author: - first_name: Milad full_name: Alshomary, Milad id: '73059' last_name: Alshomary - first_name: Wei-Fan full_name: Chen, Wei-Fan id: '82920' last_name: Chen - first_name: Timon full_name: Gurcke, Timon id: '52174' last_name: Gurcke - first_name: Henning full_name: Wachsmuth, Henning id: '3900' last_name: Wachsmuth citation: ama: 'Alshomary M, Chen W-F, Gurcke T, Wachsmuth H. Belief-based Generation of Argumentative Claims. In: Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume. Association for Computational Linguistics; 2021:224-223.' apa: 'Alshomary, M., Chen, W.-F., Gurcke, T., & Wachsmuth, H. (2021). Belief-based Generation of Argumentative Claims. Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 224–223.' bibtex: '@inproceedings{Alshomary_Chen_Gurcke_Wachsmuth_2021, title={Belief-based Generation of Argumentative Claims}, 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={224–223} }' chicago: 'Alshomary, Milad, Wei-Fan Chen, Timon Gurcke, and Henning Wachsmuth. “Belief-Based Generation of Argumentative Claims.” In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 224–223. Association for Computational Linguistics, 2021.' ieee: 'M. Alshomary, W.-F. Chen, T. Gurcke, and H. Wachsmuth, “Belief-based Generation of Argumentative Claims,” in Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, Online, 2021, pp. 224–223.' mla: 'Alshomary, Milad, et al. “Belief-Based Generation of Argumentative Claims.” Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, Association for Computational Linguistics, 2021, pp. 224–223.' 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. 224–223.' conference: location: Online name: 'Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume' date_created: 2021-02-05T08:00:07Z date_updated: 2022-05-09T15:01:53Z department: - _id: '600' language: - iso: eng main_file_link: - url: https://www.aclweb.org/anthology/2021.eacl-main.17 page: 224-223 project: - _id: '1' name: 'SFB 901: SFB 901' - _id: '3' name: 'SFB 901 - B: SFB 901 - Project Area B' - _id: '9' name: 'SFB 901 - B1: SFB 901 - Subproject B1' publication: 'Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume' publisher: Association for Computational Linguistics status: public title: Belief-based Generation of Argumentative Claims type: conference user_id: '82920' year: '2021' ... --- _id: '23709' author: - first_name: Wei-Fan full_name: Chen, Wei-Fan id: '82920' last_name: Chen - first_name: Khalid full_name: Al Khatib, Khalid last_name: Al Khatib - first_name: Benno full_name: Stein, Benno last_name: Stein - first_name: Henning full_name: Wachsmuth, Henning id: '3900' last_name: Wachsmuth citation: ama: 'Chen W-F, Al Khatib K, Stein B, Wachsmuth H. Controlled Neural Sentence-Level Reframing of News Articles. In: Findings of the Association for Computational Linguistics: EMNLP 2021. ; 2021:2683-2693.' apa: 'Chen, W.-F., Al Khatib, K., Stein, B., & Wachsmuth, H. (2021). Controlled Neural Sentence-Level Reframing of News Articles. Findings of the Association for Computational Linguistics: EMNLP 2021, 2683–2693.' bibtex: '@inproceedings{Chen_Al Khatib_Stein_Wachsmuth_2021, title={Controlled Neural Sentence-Level Reframing of News Articles}, booktitle={Findings of the Association for Computational Linguistics: EMNLP 2021}, author={Chen, Wei-Fan and Al Khatib, Khalid and Stein, Benno and Wachsmuth, Henning}, year={2021}, pages={2683–2693} }' chicago: 'Chen, Wei-Fan, Khalid Al Khatib, Benno Stein, and Henning Wachsmuth. “Controlled Neural Sentence-Level Reframing of News Articles.” In Findings of the Association for Computational Linguistics: EMNLP 2021, 2683–93, 2021.' ieee: 'W.-F. Chen, K. Al Khatib, B. Stein, and H. Wachsmuth, “Controlled Neural Sentence-Level Reframing of News Articles,” in Findings of the Association for Computational Linguistics: EMNLP 2021, 2021, pp. 2683–2693.' mla: 'Chen, Wei-Fan, et al. “Controlled Neural Sentence-Level Reframing of News Articles.” Findings of the Association for Computational Linguistics: EMNLP 2021, 2021, pp. 2683–93.' short: 'W.-F. Chen, K. Al Khatib, B. Stein, H. Wachsmuth, in: Findings of the Association for Computational Linguistics: EMNLP 2021, 2021, pp. 2683–2693.' date_created: 2021-09-02T20:09:20Z date_updated: 2022-05-09T15:00:09Z department: - _id: '600' language: - iso: eng main_file_link: - url: https://aclanthology.org/2021.findings-emnlp.228.pdf page: 2683 - 2693 project: - _id: '1' name: 'SFB 901: SFB 901' - _id: '3' name: 'SFB 901 - B: SFB 901 - Project Area B' - _id: '9' name: 'SFB 901 - B1: SFB 901 - Subproject B1' publication: 'Findings of the Association for Computational Linguistics: EMNLP 2021' status: public title: Controlled Neural Sentence-Level Reframing of News Articles type: conference user_id: '82920' year: '2021' ... --- _id: '22229' author: - first_name: Milad full_name: Alshomary, Milad id: '73059' last_name: Alshomary - first_name: Shahbaz full_name: Syed, Shahbaz last_name: Syed - first_name: Martin full_name: Potthast, Martin last_name: Potthast - first_name: Henning full_name: Wachsmuth, Henning id: '3900' last_name: Wachsmuth citation: ama: 'Alshomary M, Syed S, Potthast M, Wachsmuth H. Argument Undermining: Counter-Argument Generation by Attacking Weak Premises. In: Proceedings of the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021). Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021. Association for Computational Linguistics; 2021:1816–1827. doi:10.18653/v1/2021.findings-acl.159' apa: 'Alshomary, M., Syed, S., Potthast, M., & Wachsmuth, H. (2021). Argument Undermining: Counter-Argument Generation by Attacking Weak Premises. Proceedings of the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021), 1816–1827. https://doi.org/10.18653/v1/2021.findings-acl.159' bibtex: '@inproceedings{Alshomary_Syed_Potthast_Wachsmuth_2021, series={Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021}, title={Argument Undermining: Counter-Argument Generation by Attacking Weak Premises}, DOI={10.18653/v1/2021.findings-acl.159}, booktitle={Proceedings of the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021)}, publisher={Association for Computational Linguistics}, author={Alshomary, Milad and Syed, Shahbaz and Potthast, Martin and Wachsmuth, Henning}, year={2021}, pages={1816–1827}, collection={Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021} }' chicago: 'Alshomary, Milad, Shahbaz Syed, Martin Potthast, and Henning Wachsmuth. “Argument Undermining: Counter-Argument Generation by Attacking Weak Premises.” In Proceedings of the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021), 1816–1827. Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021. Association for Computational Linguistics, 2021. https://doi.org/10.18653/v1/2021.findings-acl.159.' ieee: 'M. Alshomary, S. Syed, M. Potthast, and H. Wachsmuth, “Argument Undermining: Counter-Argument Generation by Attacking Weak Premises,” in Proceedings of the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021), Online, 2021, pp. 1816–1827, doi: 10.18653/v1/2021.findings-acl.159.' mla: 'Alshomary, Milad, et al. “Argument Undermining: Counter-Argument Generation by Attacking Weak Premises.” Proceedings of the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021), Association for Computational Linguistics, 2021, pp. 1816–1827, doi:10.18653/v1/2021.findings-acl.159.' short: 'M. Alshomary, S. Syed, M. Potthast, H. Wachsmuth, in: Proceedings of the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021), Association for Computational Linguistics, 2021, pp. 1816–1827.' conference: location: Online name: The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021) date_created: 2021-05-26T07:06:18Z date_updated: 2022-05-09T15:06:36Z department: - _id: '600' doi: 10.18653/v1/2021.findings-acl.159 language: - iso: eng main_file_link: - url: https://aclanthology.org/2021.findings-acl.159.pdf page: 1816–1827 project: - _id: '1' name: 'SFB 901: SFB 901' - _id: '3' name: 'SFB 901 - B: SFB 901 - Project Area B' - _id: '9' name: 'SFB 901 - B1: SFB 901 - Subproject B1' publication: Proceedings of the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021) publisher: Association for Computational Linguistics series_title: 'Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021' status: public title: 'Argument Undermining: Counter-Argument Generation by Attacking Weak Premises' type: conference user_id: '82920' year: '2021' ... --- _id: '45788' author: - first_name: Jonas full_name: Bülling, Jonas last_name: Bülling citation: ama: 'Bülling J. Political Speaker Transfer: Learning to Generate Text in the Styles of Barack Obama and Donald Trump.; 2021.' apa: 'Bülling, J. (2021). Political Speaker Transfer: Learning to Generate Text in the Styles of Barack Obama and Donald Trump.' bibtex: '@book{Bülling_2021, title={Political Speaker Transfer: Learning to Generate Text in the Styles of Barack Obama and Donald Trump}, author={Bülling, Jonas}, year={2021} }' chicago: 'Bülling, Jonas. Political Speaker Transfer: Learning to Generate Text in the Styles of Barack Obama and Donald Trump, 2021.' ieee: 'J. Bülling, Political Speaker Transfer: Learning to Generate Text in the Styles of Barack Obama and Donald Trump. 2021.' mla: 'Bülling, Jonas. Political Speaker Transfer: Learning to Generate Text in the Styles of Barack Obama and Donald Trump. 2021.' short: 'J. Bülling, Political Speaker Transfer: Learning to Generate Text in the Styles of Barack Obama and Donald Trump, 2021.' date_created: 2023-06-27T12:54:30Z date_updated: 2023-07-05T07:32:18Z department: - _id: '600' language: - iso: eng project: - _id: '9' grant_number: '160364472' name: 'SFB 901 - B1: SFB 901 - Parametrisierte Servicespezifikation (Subproject B1)' - _id: '1' grant_number: '160364472' name: 'SFB 901: SFB 901: On-The-Fly Computing - Individualisierte IT-Dienstleistungen in dynamischen Märkten ' - _id: '3' name: 'SFB 901 - B: SFB 901 - Project Area B' status: public supervisor: - first_name: Henning full_name: Wachsmuth, Henning id: '3900' last_name: Wachsmuth title: 'Political Speaker Transfer: Learning to Generate Text in the Styles of Barack Obama and Donald Trump' type: mastersthesis user_id: '477' year: '2021' ... --- _id: '45787' author: - first_name: Avishek full_name: Mishra, Avishek last_name: Mishra citation: ama: Mishra A. Computational Text Professionalization Using Neural Sequence-to-Sequence Models.; 2021. apa: Mishra, A. (2021). Computational Text Professionalization using Neural Sequence-to-Sequence Models. bibtex: '@book{Mishra_2021, title={Computational Text Professionalization using Neural Sequence-to-Sequence Models}, author={Mishra, Avishek}, year={2021} }' chicago: Mishra, Avishek. Computational Text Professionalization Using Neural Sequence-to-Sequence Models, 2021. ieee: A. Mishra, Computational Text Professionalization using Neural Sequence-to-Sequence Models. 2021. mla: Mishra, Avishek. Computational Text Professionalization Using Neural Sequence-to-Sequence Models. 2021. short: A. Mishra, Computational Text Professionalization Using Neural Sequence-to-Sequence Models, 2021. date_created: 2023-06-27T12:51:08Z date_updated: 2023-07-05T07:32:50Z department: - _id: '600' language: - iso: eng project: - _id: '9' grant_number: '160364472' name: 'SFB 901 - B1: SFB 901 - Parametrisierte Servicespezifikation (Subproject B1)' - _id: '1' grant_number: '160364472' name: 'SFB 901: SFB 901: On-The-Fly Computing - Individualisierte IT-Dienstleistungen in dynamischen Märkten ' - _id: '3' name: 'SFB 901 - B: SFB 901 - Project Area B' status: public supervisor: - first_name: Henning full_name: Wachsmuth, Henning id: '3900' last_name: Wachsmuth title: Computational Text Professionalization using Neural Sequence-to-Sequence Models type: mastersthesis user_id: '477' year: '2021' ... --- _id: '20116' author: - first_name: Zahra full_name: Nouri, Zahra id: '35802' last_name: Nouri - first_name: Henning full_name: Wachsmuth, Henning id: '3900' last_name: Wachsmuth - first_name: Gregor full_name: Engels, Gregor id: '107' last_name: Engels citation: ama: 'Nouri Z, Wachsmuth H, Engels G. Mining Crowdsourcing Problems from Discussion Forums of Workers. In: Proceedings of COLING 2020, the 28th International Conference on Computational Linguistics. ; :6264-6276.' apa: Nouri, Z., Wachsmuth, H., & Engels, G. (n.d.). Mining Crowdsourcing Problems from Discussion Forums of Workers. In Proceedings of COLING 2020, the 28th International Conference on Computational Linguistics (pp. 6264–6276). Barcelona, Spain. bibtex: '@inproceedings{Nouri_Wachsmuth_Engels, title={Mining Crowdsourcing Problems from Discussion Forums of Workers}, booktitle={Proceedings of COLING 2020, the 28th International Conference on Computational Linguistics}, author={Nouri, Zahra and Wachsmuth, Henning and Engels, Gregor}, pages={6264–6276} }' chicago: Nouri, Zahra, Henning Wachsmuth, and Gregor Engels. “Mining Crowdsourcing Problems from Discussion Forums of Workers.” In Proceedings of COLING 2020, the 28th International Conference on Computational Linguistics, 6264–76, n.d. ieee: Z. Nouri, H. Wachsmuth, and G. Engels, “Mining Crowdsourcing Problems from Discussion Forums of Workers,” in Proceedings of COLING 2020, the 28th International Conference on Computational Linguistics, Barcelona, Spain, pp. 6264–6276. mla: Nouri, Zahra, et al. “Mining Crowdsourcing Problems from Discussion Forums of Workers.” Proceedings of COLING 2020, the 28th International Conference on Computational Linguistics, pp. 6264–76. short: 'Z. Nouri, H. Wachsmuth, G. Engels, in: Proceedings of COLING 2020, the 28th International Conference on Computational Linguistics, n.d., pp. 6264–6276.' conference: end_date: 2020-12-13 location: Barcelona, Spain name: The 28th International Conference on Computational Linguistics start_date: 2020-12-08 date_created: 2020-10-18T12:21:34Z date_updated: 2022-01-06T06:54:19Z ddc: - '000' department: - _id: '600' file: - access_level: closed content_type: application/pdf creator: znouri date_created: 2020-11-10T14:25:56Z date_updated: 2020-11-10T14:25:56Z file_id: '20334' file_name: Mining Crowdsourcing Problems from Discussion Forums of Workers.pdf file_size: 610246 relation: main_file success: 1 file_date_updated: 2020-11-10T14:25:56Z has_accepted_license: '1' language: - iso: eng page: 6264-6276 publication: Proceedings of COLING 2020, the 28th International Conference on Computational Linguistics publication_status: accepted status: public title: Mining Crowdsourcing Problems from Discussion Forums of Workers type: conference user_id: '82920' year: '2020' ... --- _id: '20122' author: - first_name: Roxanne full_name: El Baff, Roxanne last_name: El Baff - first_name: Khalid full_name: Al-Khatib, Khalid last_name: Al-Khatib - first_name: Benno full_name: Stein, Benno last_name: Stein - first_name: Henning full_name: Wachsmuth, Henning id: '3900' last_name: Wachsmuth citation: ama: 'El Baff R, Al-Khatib K, Stein B, Wachsmuth H. Persuasiveness of News Editorials depending on Ideology and Personality. In: Third Workshop on Computational Modeling of People’s Opinions, Personality, and Emotions in Social Media (PEOPLES 2020). ; 2020:29-40.' apa: El Baff, R., Al-Khatib, K., Stein, B., & Wachsmuth, H. (2020). Persuasiveness of News Editorials depending on Ideology and Personality. In Third Workshop on Computational Modeling of People’s Opinions, Personality, and Emotions in Social Media (PEOPLES 2020) (pp. 29–40). bibtex: '@inproceedings{El Baff_Al-Khatib_Stein_Wachsmuth_2020, title={Persuasiveness of News Editorials depending on Ideology and Personality}, booktitle={Third Workshop on Computational Modeling of People’s Opinions, Personality, and Emotions in Social Media (PEOPLES 2020)}, author={El Baff, Roxanne and Al-Khatib, Khalid and Stein, Benno and Wachsmuth, Henning}, year={2020}, pages={29–40} }' chicago: El Baff, Roxanne, Khalid Al-Khatib, Benno Stein, and Henning Wachsmuth. “Persuasiveness of News Editorials Depending on Ideology and Personality.” In Third Workshop on Computational Modeling of People’s Opinions, Personality, and Emotions in Social Media (PEOPLES 2020), 29–40, 2020. ieee: R. El Baff, K. Al-Khatib, B. Stein, and H. Wachsmuth, “Persuasiveness of News Editorials depending on Ideology and Personality,” in Third Workshop on Computational Modeling of People’s Opinions, Personality, and Emotions in Social Media (PEOPLES 2020), 2020, pp. 29–40. mla: El Baff, Roxanne, et al. “Persuasiveness of News Editorials Depending on Ideology and Personality.” Third Workshop on Computational Modeling of People’s Opinions, Personality, and Emotions in Social Media (PEOPLES 2020), 2020, pp. 29–40. short: 'R. El Baff, K. Al-Khatib, B. Stein, H. Wachsmuth, in: Third Workshop on Computational Modeling of People’s Opinions, Personality, and Emotions in Social Media (PEOPLES 2020), 2020, pp. 29–40.' date_created: 2020-10-19T08:49:05Z date_updated: 2022-01-06T06:54:20Z department: - _id: '600' language: - iso: eng main_file_link: - url: https://www.aclweb.org/anthology/2020.peoples-1.4.pdf page: 29-40 publication: Third Workshop on Computational Modeling of People's Opinions, Personality, and Emotions in Social Media (PEOPLES 2020) status: public title: Persuasiveness of News Editorials depending on Ideology and Personality type: conference user_id: '82920' year: '2020' ... --- _id: '20139' author: - first_name: Maximilian full_name: Spliethöver, Maximilian id: '84035' last_name: Spliethöver orcid: 0000-0003-4364-1409 - first_name: Henning full_name: Wachsmuth, Henning id: '3900' last_name: Wachsmuth citation: ama: 'Spliethöver M, Wachsmuth H. Argument from Old Man’s View: Assessing Social Bias in Argumentation. In: Proceedings of the 7th Workshop on Argument Mining (ArgMining 2020). ; 2020:76-87.' apa: 'Spliethöver, M., & Wachsmuth, H. (2020). Argument from Old Man’s View: Assessing Social Bias in Argumentation. In Proceedings of the 7th Workshop on Argument Mining (ArgMining 2020) (pp. 76–87).' bibtex: '@inproceedings{Spliethöver_Wachsmuth_2020, title={Argument from Old Man’s View: Assessing Social Bias in Argumentation}, booktitle={Proceedings of the 7th Workshop on Argument Mining (ArgMining 2020)}, author={Spliethöver, Maximilian and Wachsmuth, Henning}, year={2020}, pages={76–87} }' chicago: 'Spliethöver, Maximilian, and Henning Wachsmuth. “Argument from Old Man’s View: Assessing Social Bias in Argumentation.” In Proceedings of the 7th Workshop on Argument Mining (ArgMining 2020), 76–87, 2020.' ieee: 'M. Spliethöver and H. Wachsmuth, “Argument from Old Man’s View: Assessing Social Bias in Argumentation,” in Proceedings of the 7th Workshop on Argument Mining (ArgMining 2020), 2020, pp. 76–87.' mla: 'Spliethöver, Maximilian, and Henning Wachsmuth. “Argument from Old Man’s View: Assessing Social Bias in Argumentation.” Proceedings of the 7th Workshop on Argument Mining (ArgMining 2020), 2020, pp. 76–87.' short: 'M. Spliethöver, H. Wachsmuth, in: Proceedings of the 7th Workshop on Argument Mining (ArgMining 2020), 2020, pp. 76–87.' date_created: 2020-10-20T13:03:08Z date_updated: 2022-01-06T06:54:20Z department: - _id: '600' language: - iso: eng main_file_link: - open_access: '1' url: https://www.aclweb.org/anthology/2020.argmining-1.9 oa: '1' page: 76-87 publication: Proceedings of the 7th Workshop on Argument Mining (ArgMining 2020) status: public title: 'Argument from Old Man''s View: Assessing Social Bias in Argumentation' type: conference user_id: '84035' year: '2020' ... --- _id: '20140' author: - first_name: Jonas full_name: Dorsch, Jonas last_name: Dorsch - first_name: Henning full_name: Wachsmuth, Henning id: '3900' last_name: Wachsmuth citation: ama: 'Dorsch J, Wachsmuth H. Semi-Supervised Cleansing of Web Argument Corpora. In: Proceedings of the 7th Workshop on Argument Mining (ArgMining 2020). ; 2020:19-29.' apa: Dorsch, J., & Wachsmuth, H. (2020). Semi-Supervised Cleansing of Web Argument Corpora. In Proceedings of the 7th Workshop on Argument Mining (ArgMining 2020) (pp. 19–29). bibtex: '@inproceedings{Dorsch_Wachsmuth_2020, title={Semi-Supervised Cleansing of Web Argument Corpora}, booktitle={Proceedings of the 7th Workshop on Argument Mining (ArgMining 2020)}, author={Dorsch, Jonas and Wachsmuth, Henning}, year={2020}, pages={19–29} }' chicago: Dorsch, Jonas, and Henning Wachsmuth. “Semi-Supervised Cleansing of Web Argument Corpora.” In Proceedings of the 7th Workshop on Argument Mining (ArgMining 2020), 19–29, 2020. ieee: J. Dorsch and H. Wachsmuth, “Semi-Supervised Cleansing of Web Argument Corpora,” in Proceedings of the 7th Workshop on Argument Mining (ArgMining 2020), 2020, pp. 19–29. mla: Dorsch, Jonas, and Henning Wachsmuth. “Semi-Supervised Cleansing of Web Argument Corpora.” Proceedings of the 7th Workshop on Argument Mining (ArgMining 2020), 2020, pp. 19–29. short: 'J. Dorsch, H. Wachsmuth, in: Proceedings of the 7th Workshop on Argument Mining (ArgMining 2020), 2020, pp. 19–29.' date_created: 2020-10-20T13:04:15Z date_updated: 2022-01-06T06:54:20Z department: - _id: '600' language: - iso: eng main_file_link: - url: https://www.aclweb.org/anthology/2020.argmining-1.3.pdf page: 19-29 publication: Proceedings of the 7th Workshop on Argument Mining (ArgMining 2020) status: public title: Semi-Supervised Cleansing of Web Argument Corpora type: conference user_id: '82920' year: '2020' ... --- _id: '20166' author: - first_name: Alexander full_name: Bondarenko, Alexander last_name: Bondarenko - first_name: Maik full_name: Fröbe, Maik last_name: Fröbe - first_name: Meriem full_name: Beloucif, Meriem last_name: Beloucif - first_name: Lukas full_name: Gienapp, Lukas last_name: Gienapp - first_name: Yamen full_name: Ajjour, Yamen last_name: Ajjour - first_name: Alexander full_name: Panchenko, Alexander last_name: Panchenko - first_name: Chris full_name: Biemann, Chris last_name: Biemann - first_name: Benno full_name: Stein, Benno last_name: Stein - first_name: Henning full_name: Wachsmuth, Henning id: '3900' last_name: Wachsmuth - first_name: Martin full_name: Potthast, Martin last_name: Potthast - first_name: Matthias full_name: Hagen, Matthias last_name: Hagen citation: ama: 'Bondarenko A, Fröbe M, Beloucif M, et al. Overview of Touché 2020: Argument Retrieval. In: CEUR Workshop Proceedings. Vol 2696. ; 2020:384-395.' apa: 'Bondarenko, A., Fröbe, M., Beloucif, M., Gienapp, L., Ajjour, Y., Panchenko, A., … Hagen, M. (2020). Overview of Touché 2020: Argument Retrieval. In CEUR Workshop Proceedings (Vol. 2696, pp. 384–395).' bibtex: '@inproceedings{Bondarenko_Fröbe_Beloucif_Gienapp_Ajjour_Panchenko_Biemann_Stein_Wachsmuth_Potthast_et al._2020, title={Overview of Touché 2020: Argument Retrieval}, volume={2696}, booktitle={CEUR Workshop Proceedings}, author={Bondarenko, Alexander and Fröbe, Maik and Beloucif, Meriem and Gienapp, Lukas and Ajjour, Yamen and Panchenko, Alexander and Biemann, Chris and Stein, Benno and Wachsmuth, Henning and Potthast, Martin and et al.}, year={2020}, pages={384–395} }' chicago: 'Bondarenko, Alexander, Maik Fröbe, Meriem Beloucif, Lukas Gienapp, Yamen Ajjour, Alexander Panchenko, Chris Biemann, et al. “Overview of Touché 2020: Argument Retrieval.” In CEUR Workshop Proceedings, 2696:384–95, 2020.' ieee: 'A. Bondarenko et al., “Overview of Touché 2020: Argument Retrieval,” in CEUR Workshop Proceedings, 2020, vol. 2696, pp. 384–395.' mla: 'Bondarenko, Alexander, et al. “Overview of Touché 2020: Argument Retrieval.” CEUR Workshop Proceedings, vol. 2696, 2020, pp. 384–95.' short: 'A. Bondarenko, M. Fröbe, M. Beloucif, L. Gienapp, Y. Ajjour, A. Panchenko, C. Biemann, B. Stein, H. Wachsmuth, M. Potthast, M. Hagen, in: CEUR Workshop Proceedings, 2020, pp. 384–395.' date_created: 2020-10-22T07:22:52Z date_updated: 2022-01-06T06:54:20Z department: - _id: '600' intvolume: ' 2696' language: - iso: eng main_file_link: - url: http://ceur-ws.org/Vol-2696/paper_261.pdf page: 384-395 publication: CEUR Workshop Proceedings status: public title: 'Overview of Touché 2020: Argument Retrieval' type: conference user_id: '82920' volume: 2696 year: '2020' ... --- _id: '3800' author: - first_name: Henning full_name: Wachsmuth, Henning id: '3900' last_name: Wachsmuth - first_name: Till full_name: Werner, Till last_name: Werner citation: ama: 'Wachsmuth H, Werner T. Intrinsic Quality Assessment of Arguments. In: Proceedings of COLING 2020, the 28th International Conference on Computational Linguistics. ; 2020:6739-6745.' apa: Wachsmuth, H., & Werner, T. (2020). Intrinsic Quality Assessment of Arguments. In Proceedings of COLING 2020, the 28th International Conference on Computational Linguistics (pp. 6739–6745). bibtex: '@inproceedings{Wachsmuth_Werner_2020, title={Intrinsic Quality Assessment of Arguments}, booktitle={Proceedings of COLING 2020, the 28th International Conference on Computational Linguistics}, author={Wachsmuth, Henning and Werner, Till}, year={2020}, pages={6739–6745} }' chicago: Wachsmuth, Henning, and Till Werner. “Intrinsic Quality Assessment of Arguments.” In Proceedings of COLING 2020, the 28th International Conference on Computational Linguistics, 6739–45, 2020. ieee: H. Wachsmuth and T. Werner, “Intrinsic Quality Assessment of Arguments,” in Proceedings of COLING 2020, the 28th International Conference on Computational Linguistics, 2020, pp. 6739–6745. mla: Wachsmuth, Henning, and Till Werner. “Intrinsic Quality Assessment of Arguments.” Proceedings of COLING 2020, the 28th International Conference on Computational Linguistics, 2020, pp. 6739–45. short: 'H. Wachsmuth, T. Werner, in: Proceedings of COLING 2020, the 28th International Conference on Computational Linguistics, 2020, pp. 6739–6745.' date_created: 2018-08-02T13:38:21Z date_updated: 2022-01-06T06:59:36Z department: - _id: '600' language: - iso: eng main_file_link: - url: https://www.aclweb.org/anthology/2020.coling-main.592.pdf page: 6739-6745 publication: Proceedings of COLING 2020, the 28th International Conference on Computational Linguistics status: public title: Intrinsic Quality Assessment of Arguments type: conference user_id: '82920' year: '2020' ... --- _id: '3878' author: - first_name: Roxanne full_name: El Baff, Roxanne last_name: El Baff - first_name: Henning full_name: Wachsmuth, Henning id: '3900' last_name: Wachsmuth - first_name: Khalid full_name: Al-Khatib, Khalid last_name: Al-Khatib - first_name: Benno full_name: Stein, Benno last_name: Stein citation: ama: 'El Baff R, Wachsmuth H, Al-Khatib K, Stein B. Analyzing the Persuasive Effect of Style in News Editorial Argumentation. In: Tsujii J, Hajic J, eds. Proceedings of 58th Annual Meeting of the Association for Computational Linguistics. ; 2020:553-564.' apa: El Baff, R., Wachsmuth, H., Al-Khatib, K., & Stein, B. (2020). Analyzing the Persuasive Effect of Style in News Editorial Argumentation. In J. Tsujii & J. Hajic (Eds.), Proceedings of 58th Annual Meeting of the Association for Computational Linguistics (pp. 553–564). bibtex: '@inproceedings{El Baff_Wachsmuth_Al-Khatib_Stein_2020, title={Analyzing the Persuasive Effect of Style in News Editorial Argumentation}, booktitle={Proceedings of 58th Annual Meeting of the Association for Computational Linguistics}, author={El Baff, Roxanne and Wachsmuth, Henning and Al-Khatib, Khalid and Stein, Benno}, editor={Tsujii, Junichi and Hajic, JanEditors}, year={2020}, pages={553–564} }' chicago: El Baff, Roxanne, Henning Wachsmuth, Khalid Al-Khatib, and Benno Stein. “Analyzing the Persuasive Effect of Style in News Editorial Argumentation.” In Proceedings of 58th Annual Meeting of the Association for Computational Linguistics, edited by Junichi Tsujii and Jan Hajic, 553–64, 2020. ieee: R. El Baff, H. Wachsmuth, K. Al-Khatib, and B. Stein, “Analyzing the Persuasive Effect of Style in News Editorial Argumentation,” in Proceedings of 58th Annual Meeting of the Association for Computational Linguistics, 2020, pp. 553–564. mla: El Baff, Roxanne, et al. “Analyzing the Persuasive Effect of Style in News Editorial Argumentation.” Proceedings of 58th Annual Meeting of the Association for Computational Linguistics, edited by Junichi Tsujii and Jan Hajic, 2020, pp. 553–64. short: 'R. El Baff, H. Wachsmuth, K. Al-Khatib, B. Stein, in: J. Tsujii, J. Hajic (Eds.), Proceedings of 58th Annual Meeting of the Association for Computational Linguistics, 2020, pp. 553–564.' date_created: 2018-08-11T16:14:29Z date_updated: 2022-01-06T06:59:47Z department: - _id: '600' - _id: '568' editor: - first_name: Junichi full_name: Tsujii, Junichi last_name: Tsujii - first_name: Jan full_name: Hajic, Jan last_name: Hajic language: - iso: eng page: 553-564 publication: Proceedings of 58th Annual Meeting of the Association for Computational Linguistics status: public title: Analyzing the Persuasive Effect of Style in News Editorial Argumentation type: conference user_id: '82920' year: '2020' ... --- _id: '7283' author: - first_name: Milad full_name: Alshomary, Milad id: '73059' last_name: Alshomary - first_name: Nick full_name: Düsterhus, Nick last_name: Düsterhus - first_name: Henning full_name: Wachsmuth, Henning id: '3900' last_name: Wachsmuth citation: ama: 'Alshomary M, Düsterhus N, Wachsmuth H. Extractive Snippet Generation for Arguments. In: Proceedings of 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval. ; 2020:1969-1972.' apa: Alshomary, M., Düsterhus, N., & Wachsmuth, H. (2020). Extractive Snippet Generation for Arguments. In Proceedings of 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (pp. 1969–1972). Xi’an, China. bibtex: '@inproceedings{Alshomary_Düsterhus_Wachsmuth_2020, title={Extractive Snippet Generation for Arguments}, booktitle={Proceedings of 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval}, author={Alshomary, Milad and Düsterhus, Nick and Wachsmuth, Henning}, year={2020}, pages={1969–1972} }' chicago: Alshomary, Milad, Nick Düsterhus, and Henning Wachsmuth. “Extractive Snippet Generation for Arguments.” In Proceedings of 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval, 1969–72, 2020. ieee: M. Alshomary, N. Düsterhus, and H. Wachsmuth, “Extractive Snippet Generation for Arguments,” in Proceedings of 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval, Xi’an, China, 2020, pp. 1969–1972. mla: Alshomary, Milad, et al. “Extractive Snippet Generation for Arguments.” Proceedings of 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2020, pp. 1969–72. short: 'M. Alshomary, N. Düsterhus, H. Wachsmuth, in: Proceedings of 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2020, pp. 1969–1972.' conference: end_date: 20202.07.30 location: Xi'an, China name: 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR20) start_date: 20202.07.25 date_created: 2019-01-31T08:06:15Z date_updated: 2022-01-06T07:03:32Z ddc: - '000' department: - _id: '600' - _id: '568' file: - access_level: closed content_type: application/pdf creator: sile2804 date_created: 2020-05-26T08:41:56Z date_updated: 2020-05-26T08:41:56Z file_id: '17062' file_name: sigir20-argument-argument-snippet-generation-frame.pdf file_size: 807341 relation: main_file success: 1 file_date_updated: 2020-05-26T08:41:56Z has_accepted_license: '1' language: - iso: eng page: 1969-1972 publication: Proceedings of 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval status: public title: Extractive Snippet Generation for Arguments type: conference user_id: '82920' year: '2020' ... --- _id: '15820' author: - first_name: Khalid full_name: Al-Khatib, Khalid last_name: Al-Khatib - first_name: Yufang full_name: Hou, Yufang last_name: Hou - first_name: Henning full_name: Wachsmuth, Henning id: '3900' last_name: Wachsmuth - first_name: Charles full_name: Jochim, Charles last_name: Jochim - first_name: Francesca full_name: Bonin, Francesca last_name: Bonin - first_name: Benno full_name: Stein, Benno last_name: Stein citation: ama: 'Al-Khatib K, Hou Y, Wachsmuth H, Jochim C, Bonin F, Stein B. End-to-End Argumentation Knowledge Graph Construction. In: Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI 2020). ; 2020:7367-7374.' apa: Al-Khatib, K., Hou, Y., Wachsmuth, H., Jochim, C., Bonin, F., & Stein, B. (2020). End-to-End Argumentation Knowledge Graph Construction. In Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI 2020) (pp. 7367–7374). bibtex: '@inproceedings{Al-Khatib_Hou_Wachsmuth_Jochim_Bonin_Stein_2020, title={End-to-End Argumentation Knowledge Graph Construction}, booktitle={Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI 2020)}, author={Al-Khatib, Khalid and Hou, Yufang and Wachsmuth, Henning and Jochim, Charles and Bonin, Francesca and Stein, Benno}, year={2020}, pages={7367–7374} }' chicago: Al-Khatib, Khalid, Yufang Hou, Henning Wachsmuth, Charles Jochim, Francesca Bonin, and Benno Stein. “End-to-End Argumentation Knowledge Graph Construction.” In Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI 2020), 7367–74, 2020. ieee: K. Al-Khatib, Y. Hou, H. Wachsmuth, C. Jochim, F. Bonin, and B. Stein, “End-to-End Argumentation Knowledge Graph Construction,” in Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI 2020), 2020, pp. 7367–7374. mla: Al-Khatib, Khalid, et al. “End-to-End Argumentation Knowledge Graph Construction.” Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI 2020), 2020, pp. 7367–74. short: 'K. Al-Khatib, Y. Hou, H. Wachsmuth, C. Jochim, F. Bonin, B. Stein, in: Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI 2020), 2020, pp. 7367–7374.' date_created: 2020-02-06T10:41:22Z date_updated: 2022-01-06T06:52:37Z department: - _id: '600' - _id: '568' language: - iso: eng main_file_link: - url: https://aaai.org/ojs/index.php/AAAI/article/view/6231 page: 7367 - 7374 publication: Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI 2020) status: public title: End-to-End Argumentation Knowledge Graph Construction type: conference user_id: '82920' year: '2020' ... --- _id: '15821' author: - first_name: Alexander full_name: Bondarenko, Alexander last_name: Bondarenko - first_name: Matthias full_name: Hagen, Matthias last_name: Hagen - first_name: Martin full_name: Potthast, Martin last_name: Potthast - first_name: Henning full_name: Wachsmuth, Henning id: '3900' last_name: Wachsmuth - first_name: Meriem full_name: Beloucif, Meriem last_name: Beloucif - first_name: Chris full_name: Biemann, Chris last_name: Biemann - first_name: Alexander full_name: Panchenko, Alexander last_name: Panchenko - first_name: Benno full_name: Stein, Benno last_name: Stein citation: ama: 'Bondarenko A, Hagen M, Potthast M, et al. Touché: First Shared Task on Argument Retrieval. In: Proceedings of the 42nd European Conference on Information Retrieval (ECIR 2020). ; 2020:517-523.' apa: 'Bondarenko, A., Hagen, M., Potthast, M., Wachsmuth, H., Beloucif, M., Biemann, C., … Stein, B. (2020). Touché: First Shared Task on Argument Retrieval. In Proceedings of the 42nd European Conference on Information Retrieval (ECIR 2020) (pp. 517–523).' bibtex: '@inproceedings{Bondarenko_Hagen_Potthast_Wachsmuth_Beloucif_Biemann_Panchenko_Stein_2020, title={Touché: First Shared Task on Argument Retrieval}, booktitle={Proceedings of the 42nd European Conference on Information Retrieval (ECIR 2020)}, author={Bondarenko, Alexander and Hagen, Matthias and Potthast, Martin and Wachsmuth, Henning and Beloucif, Meriem and Biemann, Chris and Panchenko, Alexander and Stein, Benno}, year={2020}, pages={517–523} }' chicago: 'Bondarenko, Alexander, Matthias Hagen, Martin Potthast, Henning Wachsmuth, Meriem Beloucif, Chris Biemann, Alexander Panchenko, and Benno Stein. “Touché: First Shared Task on Argument Retrieval.” In Proceedings of the 42nd European Conference on Information Retrieval (ECIR 2020), 517–23, 2020.' ieee: 'A. Bondarenko et al., “Touché: First Shared Task on Argument Retrieval,” in Proceedings of the 42nd European Conference on Information Retrieval (ECIR 2020), 2020, pp. 517–523.' mla: 'Bondarenko, Alexander, et al. “Touché: First Shared Task on Argument Retrieval.” Proceedings of the 42nd European Conference on Information Retrieval (ECIR 2020), 2020, pp. 517–23.' short: 'A. Bondarenko, M. Hagen, M. Potthast, H. Wachsmuth, M. Beloucif, C. Biemann, A. Panchenko, B. Stein, in: Proceedings of the 42nd European Conference on Information Retrieval (ECIR 2020), 2020, pp. 517–523.' date_created: 2020-02-06T10:42:19Z date_updated: 2022-01-06T06:52:37Z department: - _id: '600' - _id: '568' language: - iso: eng main_file_link: - url: https://webis.de/downloads/publications/papers/stein_2020c.pdf page: 517-523 publication: Proceedings of the 42nd European Conference on Information Retrieval (ECIR 2020) status: public title: 'Touché: First Shared Task on Argument Retrieval' type: conference user_id: '82920' year: '2020' ... --- _id: '15825' author: - first_name: Johannes full_name: Kiesel, Johannes last_name: Kiesel - first_name: Kevin full_name: Lang, Kevin last_name: Lang - first_name: Henning full_name: Wachsmuth, Henning id: '3900' last_name: Wachsmuth - first_name: Eva full_name: Hornecker, Eva last_name: Hornecker - first_name: Benno full_name: Stein, Benno last_name: Stein citation: ama: 'Kiesel J, Lang K, Wachsmuth H, Hornecker E, Stein B. Investigating Expectations for Voice-based and Conversational Argument Search on the Web. In: Proceedings of the 2020 ACM SIGIR Conference on Human Information Interaction & Retrieval (CHIIR 2020). ; 2020:53-62.' apa: Kiesel, J., Lang, K., Wachsmuth, H., Hornecker, E., & Stein, B. (2020). Investigating Expectations for Voice-based and Conversational Argument Search on the Web. In Proceedings of the 2020 ACM SIGIR Conference on Human Information Interaction & Retrieval (CHIIR 2020) (pp. 53–62). bibtex: '@inproceedings{Kiesel_Lang_Wachsmuth_Hornecker_Stein_2020, title={Investigating Expectations for Voice-based and Conversational Argument Search on the Web}, booktitle={Proceedings of the 2020 ACM SIGIR Conference on Human Information Interaction & Retrieval (CHIIR 2020)}, author={Kiesel, Johannes and Lang, Kevin and Wachsmuth, Henning and Hornecker, Eva and Stein, Benno}, year={2020}, pages={53–62} }' chicago: Kiesel, Johannes, Kevin Lang, Henning Wachsmuth, Eva Hornecker, and Benno Stein. “Investigating Expectations for Voice-Based and Conversational Argument Search on the Web.” In Proceedings of the 2020 ACM SIGIR Conference on Human Information Interaction & Retrieval (CHIIR 2020), 53–62, 2020. ieee: J. Kiesel, K. Lang, H. Wachsmuth, E. Hornecker, and B. Stein, “Investigating Expectations for Voice-based and Conversational Argument Search on the Web,” in Proceedings of the 2020 ACM SIGIR Conference on Human Information Interaction & Retrieval (CHIIR 2020), 2020, pp. 53–62. mla: Kiesel, Johannes, et al. “Investigating Expectations for Voice-Based and Conversational Argument Search on the Web.” Proceedings of the 2020 ACM SIGIR Conference on Human Information Interaction & Retrieval (CHIIR 2020), 2020, pp. 53–62. short: 'J. Kiesel, K. Lang, H. Wachsmuth, E. Hornecker, B. Stein, in: Proceedings of the 2020 ACM SIGIR Conference on Human Information Interaction & Retrieval (CHIIR 2020), 2020, pp. 53–62.' date_created: 2020-02-06T10:49:08Z date_updated: 2022-01-06T06:52:37Z department: - _id: '600' - _id: '568' language: - iso: eng main_file_link: - url: https://webis.de/downloads/publications/papers/stein_2020b.pdf page: 53-62 publication: Proceedings of the 2020 ACM SIGIR Conference on Human Information Interaction & Retrieval (CHIIR 2020) status: public title: Investigating Expectations for Voice-based and Conversational Argument Search on the Web type: conference user_id: '82920' year: '2020' ...