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

Learning from Multiple Noisy Augmented Data Sets for Better Cross-Lingual Spoken Language Understanding Yingmei Guo author Linjun Shou author Jian Pei author Ming Gong author Mingxing Xu author Zhiyong Wu author Daxin Jiang author 2021-11 text Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing Marie-Francine Moens editor Xuanjing Huang editor Lucia Specia editor Scott Wen-tau Yih editor Association for Computational Linguistics Online and Punta Cana, Dominican Republic conference publication guo-etal-2021-learning 10.18653/v1/2021.emnlp-main.259 https://aclanthology.org/2021.emnlp-main.259/ 2021-11 3226 3237