In-Depth Explanations: The model identifies an error and explains how to refine the argument in a way the end-user can understand (i.e., why it is wrong)

Sub-section Authors Title
Implicit knowledge Maria Becker, Siting Liang, and Anette Frank. RecoProceedings of Deep Learning Inside Out (DeeLIO): The 2nd Workshop on Knowledge Extraction and Integration for Deep Learning Architectures, pp. 11–24, Online, June 2021. Association for Computational Linguistics.
Implicit knowledge Yohan Jo, Haneul Yoo, JinYeong Bak, Alice Oh, Chris Reed, and Eduard Hovy. Knowledge-enhanced evidence retrieval for counterargument generation. In Findings of the Association for Computational Linguistics: EMNLP 2021, Online, November 2021. Association for Computational Linguistics.
Implicit knowledge Keshav Singh, Naoya Inoue, Farjana Sultana Mim, Shoichi Naito, and Kentaro Inui. IRAC: A domain-specific annotated corpus of implicit reasoning in arguments. In Proceedings of the Thirteenth Language Resources and Evaluation Conference, pp. 4674–4683, Marseille, France, June 2022. European Language Resources Association.
Rules and annotations Yohan Jo, Seojin Bang, Chris Reed, and Eduard Hovy. Classifying argumentative relations using logical mechanisms and argumentation schemes. Transactions of the Association for Computational Linguistics, Vol.~9, pp. 721–739, 2021.