Label-template based Few-Shot Text Classification with Contrastive Learning

Guanghua Hou, Shuhui Cao, Deqiang Ouyang +1

As an algorithmic framework for learning to learn, meta-learning provides a promising solution for few-shot text classification. However, most existing research fail to give enough…