【论文笔记】Improving Language Understanding by Generative Pre-Training
Abstract 核心思想： generative pre-training + discriminative fine-tuning 1 Introduction 为了获取更多annotation，利用linguistic info从unlabeled data中学习，这很有价值，减轻了对NLP中监督学习的依赖，毕竟许多domains缺乏annotated resources，并且用无监督学习学
相关文章
- 1. 文献阅读笔记—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阅读笔记
- 4. 深度学习 -- > NLP -- >Improving Language Understanding by Generative Pre-Training
- 5. 文献阅读笔记：XLNet: Generalized Autoregressive Pretraining for Language Understanding
- 6. 【论文阅读笔记】Cross-lingual Language Model Pretraining
- 7. 论文阅读笔记：BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
- 8. 论文笔记4：Language Understanding for Text-based Games using Deep Reinforcement Learning
- 9. 论文笔记《BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding》
- 10. 论文阅读笔记：《ERNIE 2.0: A Continual Pre-training Framework for Language Understanding》
- 更多相关文章...
- • RSS
元素 - RSS 教程 - • ASP.NET Razor - 标记 - ASP.NET 教程
- • Tomcat学习笔记（史上最全tomcat学习笔记）
- • Scala 中文乱码解决
相关标签/搜索
每日一句
-
每一个你不满意的现在，都有一个你没有努力的曾经。
欢迎关注本站公众号,获取更多信息
相关文章
- 1. 文献阅读笔记—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阅读笔记
- 4. 深度学习 -- > NLP -- >Improving Language Understanding by Generative Pre-Training
- 5. 文献阅读笔记：XLNet: Generalized Autoregressive Pretraining for Language Understanding
- 6. 【论文阅读笔记】Cross-lingual Language Model Pretraining
- 7. 论文阅读笔记：BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
- 8. 论文笔记4：Language Understanding for Text-based Games using Deep Reinforcement Learning
- 9. 论文笔记《BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding》
- 10. 论文阅读笔记：《ERNIE 2.0: A Continual Pre-training Framework for Language Understanding》