SSMBA: Self-Supervised Manifold Based Data Augmentation for Improving Out-of-Domain Robustness

Nathan Ng, KyungHyun Cho, Marzyeh Ghassemi. SSMBA: Self-Supervised Manifold Based Data Augmentation for Improving Out-of-Domain Robustness. 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 1268-1283, Association for Computational Linguistics, 2020. [doi]

Abstract

Abstract is missing.