Few-Shot Text Classification with Triplet Networks, Data Augmentation, and Curriculum Learning

Jason Wei, Chengyu Huang, Soroush Vosoughi +2

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. Th…