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

Yingmei Guo, Linjun Shou, Jian Pei +4

Lack of training data presents a grand challenge to scaling out spoken language understanding (SLU) to low-resource languages. Although various data augmentation approaches have be…