When in Doubt: Improving Classification Performance with Alternating Normalization - researchr publication authors

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Menglin Jia, Austin Reiter, Ser-Nam Lim, Yoav Artzi, Claire Cardie. When in Doubt: Improving Classification Performance with Alternating Normalization. In Marie-Francine Moens, Xuanjing Huang, Lucia Specia, Scott Wen-tau Yih, editors, Findings of the Association for Computational Linguistics: EMNLP 2021, Virtual Event / Punta Cana, Dominican Republic, 16-20 November, 2021. pages 1716-1723, Association for Computational Linguistics, 2021. [doi]

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