Argument and Counter-Argument Generation: A Critical Survey
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-35320-8_37
Reference49 articles.
1. 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 (2021)
2. Alshomary, M., Düsterhus, N., Wachsmuth, H.: Extractive snippet generation for arguments. In: Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 1969–1972. ACM, Virtual Event China (2020)
3. Alshomary, M., Rieskamp, J., Wachsmuth, H.: Generating contrastive snippets for argument search. In: Toni, F., Polberg, S., Booth, R., Caminada, M., Kido, H. (eds.) Frontiers in Artificial Intelligence and Applications. IOS Press (2022)
4. Alshomary, M., Syed, S., Dhar, A., Potthast, M., Wachsmuth, H.: Counter-argument generation by attacking weak premises. In: Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, pp. 1816–1827. Association for Computational Linguistics (2021)
5. Alshomary, M., Syed, S., Potthast, M., Wachsmuth, H.: Target inference in argument conclusion generation. In: Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, pp. 4334–4345. Association for Computational Linguistics (2020)
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