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Generating Informative Conclusions for Argumentative Texts

, , , , and . Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, Association for Computational Linguistics, (2021)
DOI: 10.18653/v1/2021.findings-acl.306

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Exploiting Personal Characteristics of Debaters for Predicting Persuasiveness, , , , and . Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, Association for Computational Linguistics, (2020)Employing Argumentation Knowledge Graphs for Neural Argument Generation, , , , and . Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), Association for Computational Linguistics, (2021)Differential Bias: On the Perceptibility of Stance Imbalance in Argumentation, , , and . The 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (AACL-IJCNLP), AACL-IJCNLP, (November 2022)Generating Informative Conclusions for Argumentative Texts, , , , and . Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, Association for Computational Linguistics, (2021)Summary Explorer: Visualizing the state of the art in text summarization, , , , and . (2021)News Editorials: Towards Summarizing Long Argumentative Texts, , , , , and . Proceedings of the 28th International Conference on Computational Linguistics, International Committee on Computational Linguistics, (2020)