【論文筆記】Improving Language Understanding by Generative Pre-Training
Abstract 核心思想： generative pre-training + discriminative fine-tuning 1 Introduction 爲了獲取更多annotation，利用linguistic info從unlabeled data中學習，這很有價值，減輕了對NLP中監督學習的依賴，畢竟許多domains缺乏annotated resources，並且用無監督學習學
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相關文章
- 1. 文獻閱讀筆記—Improving Language Understanding by Generative Pre-Training
- 2. GPT模型：Improving Language Understanding by Generative Pre-Training
- 3. Improving Language Understanding by Generative Pre-Training閱讀筆記
- 4. 深度學習 -- > NLP -- >Improving Language Understanding by Generative Pre-Training
- 5. 文獻閱讀筆記：XLNet: Generalized Autoregressive Pretraining for Language Understanding
- 6. 【論文閱讀筆記】Cross-lingual Language Model Pretraining
- 7. 論文閱讀筆記：BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
- 8. 論文筆記4：Language Understanding for Text-based Games using Deep Reinforcement Learning
- 9. 論文筆記《BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding》
- 10. 論文閱讀筆記：《ERNIE 2.0: A Continual Pre-training Framework for Language Understanding》