2021
Few-Shot Text Classification with Triplet Networks, Data Augmentation, and Curriculum Learning
NAACL 2021long
Few-shot text classification is a fundamental NLP task in which a model aims to classify text into a large number of categories, given only a few training examples per category. This paper explores data augmentation—a technique particularly suitable for training with limited data—for this few-shot,…