Multi-Class text classification using only few labeled examples | GAN-BERT Explained

Obtaining sufficient number of high quality annotated data for training large deep learning framework such as BERT, is very difficult in real life scenarios. In this video, a new approach has been explained, which overcomes the limitations for training BERT model using only bunch of labeled data by leveraging Semi Supervised Generative Adversarial Network.
link to the paper - https://www.aclweb.org/anthology/2020.acl-main.191.pdf

Link to the Python implementation video - https://youtu.be/EIr4VhqmRd8

Видео Multi-Class text classification using only few labeled examples | GAN-BERT Explained канала SAYANTAN ADAK