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• BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
  A new language representation model called BERT: Bidirectional Encoder Representations from Transformers.BERT is conceptually simple and empirically powerful. It obtains new state-of-the-art results on eleven natural language processing tasks
  Oct 11, 2018
• Universal Language Model Fine-tuning for Text Classification
  The article puts forward ULMFiT, effective transfer learning method that can be applied to any task in NLP. With only 100 labeled examples, it matches the performance of training from scratch on 100x more data and reduces error by 18-24% on the state-of-the-art on six text classification tasks
  May 23, 2018