Transfer Learning in natural language processing is an area that had not been explored with great success. But, last month (May 2018), Jeremy Howard and Sebastian Ruder came up with the paper - Universal Language Model Fine-tuning for Text Classification which explores the benefits of using a pre-trained model on text classification. It proposes ULMFiT, a transfer… Continue reading Understanding the Working of Universal Language Model Fine Tuning (ULMFiT)
