Coding Textual Inputs Boosts the Accuracy of Neural Networks - researchr publication authors

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Abdul Rafae Khan, Jia Xu 0004, Weiwei Sun 0007. Coding Textual Inputs Boosts the Accuracy of Neural Networks. 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 1350-1360, Association for Computational Linguistics, 2020. [doi]

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