Zhenyu Mao

SDA: Simple Discrete Augmentation for Contrastive Sentence Representation Learning

Contrastive learning has recently achieved compelling performance in unsupervised sentence representation. As an essential element, data augmentation protocols, however, have not been well explored. The pioneering work SimCSE resorting to a simple dropout mechanism (viewed as continuous augmentation…