---
_id: '30840'
author:
- first_name: Milad
  full_name: Alshomary, Milad
  id: '73059'
  last_name: Alshomary
- first_name: Roxanne
  full_name: El Baff, Roxanne
  last_name: El Baff
- 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, 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.'
  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.'
  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} }'
  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.'
  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.'
  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.'
  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.'
date_created: 2022-04-06T14:05:45Z
date_updated: 2025-02-20T08:22:46Z
department:
- _id: '600'
- _id: '660'
language:
- iso: eng
page: 8782 - 8797
project:
- _id: '118'
  name: 'TRR 318 - INF: TRR 318 - Project Area INF'
publication: Proceedings of the 60th Annual Meeting of the Association for Computational
  Linguistics
status: public
title: 'The Moral Debater: A Study on the Computational Generation of Morally Framed
  Arguments'
type: conference
user_id: '3900'
year: '2022'
...
---
_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: <i>Proceedings of the 8th Workshop
    on Argument Mining</i>. ; 2021:184-189.'
  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.
  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 <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.
  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.
  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: '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: <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.
  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 <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.
  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.
  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: <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>'
  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>'
  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} }'
  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>.'
  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.'
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: 2026-02-23T16:06:41Z
department:
- _id: '600'
doi: 10.18653/v1/2021.eacl-main.17
language:
- iso: eng
main_file_link:
- url: https://www.aclweb.org/anthology/2021.eacl-main.17
page: 224-233
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: '14972'
year: '2021'
...