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cs.CL2021★ 7 cited
FewNLU: Benchmarking State-of-the-Art Methods for Few-Shot Natural Language Understanding
Yanan Zheng, Jing Zhou, Yujie Qian +7
The few-shot natural language understanding (NLU) task has attracted much recent attention. However, prior methods have been evaluated under a disparate set of protocols, which hin…
cs.CL2021★ 17 cited
FlipDA: Effective and Robust Data Augmentation for Few-Shot Learning
Jing Zhou, Yanan Zheng, Jie Tang +2
Most previous methods for text data augmentation are limited to simple tasks and weak baselines. We explore data augmentation on hard tasks (i.e., few-shot natural language underst…