Good-Enough Example Extrapolation
Jason Wei · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing · 2021
This paper asks whether extrapolating the hidden space distribution of text examples from one class onto another is a valid inductive bias for data augmentation.To operationalize this question, I propose a simple data augmentation protocol called "good-enough example extrapolation" (GE3).GE3 is lightweight and has no hyperparameters.Applied to three text classification datasets for various data imbalance scenarios, GE3 improves performance more than upsampling and other hidden-space data augmentation methods.