Learning from Multiple Noisy Augmented Data Sets for Better Cross-Lingual Spoken Language Understanding - researchr publication authors

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Yingmei Guo, Linjun Shou, Jian Pei, Ming Gong, Mingxing Xu, Zhiyong Wu 0001, Daxin Jiang. Learning from Multiple Noisy Augmented Data Sets for Better Cross-Lingual Spoken Language Understanding. In Marie-Francine Moens, Xuanjing Huang, Lucia Specia, Scott Wen-tau Yih, editors, Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, EMNLP 2021, Virtual Event / Punta Cana, Dominican Republic, 7-11 November, 2021. pages 3226-3237, Association for Computational Linguistics, 2021. [doi]

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