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%0 Conference Proceedings
%T Generating Informative Conclusions for Argumentative Texts
%A Syed, Shahbaz
%A Al Khatib, Khalid
%A Alshomary, Milad
%A Wachsmuth, Henning
%A Potthast, Martin
%Y Zong, Chengqing
%Y Xia, Fei
%Y Li, Wenjie
%Y Navigli, Roberto
%S Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
%D 2021
%8 August
%I Association for Computational Linguistics
%C Online
%F syed-etal-2021-generating
%R 10.18653/v1/2021.findings-acl.306
%U https://aclanthology.org/2021.findings-acl.306
%U https://doi.org/10.18653/v1/2021.findings-acl.306
%P 3482-3493

Markdown (Informal)

[Generating Informative Conclusions for Argumentative Texts](https://aclanthology.org/2021.findings-acl.306) (Syed et al., Findings 2021)

• Generating Informative Conclusions for Argumentative Texts (Syed et al., Findings 2021)

ACL

• Shahbaz Syed, Khalid Al Khatib, Milad Alshomary, Henning Wachsmuth, and Martin Potthast. 2021. Generating Informative Conclusions for Argumentative Texts. In Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, pages 3482–3493, Online. Association for Computational Linguistics.