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...
Link to the Python implementation video - • GANBERT for sentiment analysis (Multi-Clas...
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