GAN-BERT: Generative Adversarial Learning for Robust Text Classification with a Bunch of Labeled Examples

ACL 2020 Danilo CroceGiuseppe CastellucciRoberto Basili

Recent Transformer-based architectures, e.g., BERT, provide impressive results in many Natural Language Processing tasks. However, most of the adopted benchmarks are made of (sometimes hundreds of) thousands of examples... (read more)

PDF Abstract

Results from the Paper


  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.

Methods used in the Paper