Detecting Attackable Sentences in Arguments - researchr publication authors

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Yohan Jo, Seojin Bang, Emaad Manzoor, Eduard H. Hovy, Chris Reed. Detecting Attackable Sentences in Arguments. In Bonnie Webber, Trevor Cohn, Yulan He, Yang Liu, editors, Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, EMNLP 2020, Online, November 16-20, 2020. pages 1-23, Association for Computational Linguistics, 2020. [doi]

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