---
_id: '58723'
abstract:
- lang: eng
  text: In real-world debates, the most common way to counter an argument is to reason
    against its main point, that is, its conclusion. Existing work on the automatic
    generation of natural language counter-arguments does not address the relation
    to the conclusion, possibly because many arguments leave their conclusion implicit.
    In this paper, we hypothesize that the key to effective counter-argument generation
    is to explicitly model the argument‘s conclusion and to ensure that the stance
    of the generated counter is opposite to that conclusion. In particular, we propose
    a multitask approach that jointly learns to generate both the conclusion and the
    counter of an input argument. The approach employs a stance-based ranking component
    that selects the counter from a diverse set of generated candidates whose stance
    best opposes the generated conclusion. In both automatic and manual evaluation,
    we provide evidence that our approach generates more relevant and stance-adhering
    counters than strong baselines.
author:
- 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: 'Alshomary M, Wachsmuth H. Conclusion-based Counter-Argument Generation. In:
    Vlachos A, Augenstein I, eds. <i>Proceedings of the 17th Conference of the European
    Chapter of the Association for Computational Linguistics</i>. Association for
    Computational Linguistics; 2023:957–967. doi:<a href="https://doi.org/10.18653/v1/2023.eacl-main.67">10.18653/v1/2023.eacl-main.67</a>'
  apa: Alshomary, M., &#38; Wachsmuth, H. (2023). Conclusion-based Counter-Argument
    Generation. In A. Vlachos &#38; I. Augenstein (Eds.), <i>Proceedings of the 17th
    Conference of the European Chapter of the Association for Computational Linguistics</i>
    (pp. 957–967). Association for Computational Linguistics. <a href="https://doi.org/10.18653/v1/2023.eacl-main.67">https://doi.org/10.18653/v1/2023.eacl-main.67</a>
  bibtex: '@inproceedings{Alshomary_Wachsmuth_2023, place={Dubrovnik, Croatia}, title={Conclusion-based
    Counter-Argument Generation}, DOI={<a href="https://doi.org/10.18653/v1/2023.eacl-main.67">10.18653/v1/2023.eacl-main.67</a>},
    booktitle={Proceedings of the 17th Conference of the European Chapter of the Association
    for Computational Linguistics}, publisher={Association for Computational Linguistics},
    author={Alshomary, Milad and Wachsmuth, Henning}, editor={Vlachos, Andreas and
    Augenstein, Isabelle}, year={2023}, pages={957–967} }'
  chicago: 'Alshomary, Milad, and Henning Wachsmuth. “Conclusion-Based Counter-Argument
    Generation.” In <i>Proceedings of the 17th Conference of the European Chapter
    of the Association for Computational Linguistics</i>, edited by Andreas Vlachos
    and Isabelle Augenstein, 957–967. Dubrovnik, Croatia: Association for Computational
    Linguistics, 2023. <a href="https://doi.org/10.18653/v1/2023.eacl-main.67">https://doi.org/10.18653/v1/2023.eacl-main.67</a>.'
  ieee: 'M. Alshomary and H. Wachsmuth, “Conclusion-based Counter-Argument Generation,”
    in <i>Proceedings of the 17th Conference of the European Chapter of the Association
    for Computational Linguistics</i>, 2023, pp. 957–967, doi: <a href="https://doi.org/10.18653/v1/2023.eacl-main.67">10.18653/v1/2023.eacl-main.67</a>.'
  mla: Alshomary, Milad, and Henning Wachsmuth. “Conclusion-Based Counter-Argument
    Generation.” <i>Proceedings of the 17th Conference of the European Chapter of
    the Association for Computational Linguistics</i>, edited by Andreas Vlachos and
    Isabelle Augenstein, Association for Computational Linguistics, 2023, pp. 957–967,
    doi:<a href="https://doi.org/10.18653/v1/2023.eacl-main.67">10.18653/v1/2023.eacl-main.67</a>.
  short: 'M. Alshomary, H. Wachsmuth, in: A. Vlachos, I. Augenstein (Eds.), Proceedings
    of the 17th Conference of the European Chapter of the Association for Computational
    Linguistics, Association for Computational Linguistics, Dubrovnik, Croatia, 2023,
    pp. 957–967.'
date_created: 2025-02-20T08:20:35Z
date_updated: 2025-02-20T08:21:41Z
department:
- _id: '600'
- _id: '660'
doi: 10.18653/v1/2023.eacl-main.67
editor:
- first_name: Andreas
  full_name: Vlachos, Andreas
  last_name: Vlachos
- first_name: Isabelle
  full_name: Augenstein, Isabelle
  last_name: Augenstein
language:
- iso: eng
page: 957–967
place: Dubrovnik, Croatia
project:
- _id: '118'
  name: 'TRR 318 - INF: TRR 318 - Project Area INF'
publication: Proceedings of the 17th Conference of the European Chapter of the Association
  for Computational Linguistics
publisher: Association for Computational Linguistics
status: public
title: Conclusion-based Counter-Argument Generation
type: conference
user_id: '3900'
year: '2023'
...