Multi-Task Deep Neural Networks for Natural Language Understanding阅读笔记
MT-DNN Introduction 学习文本的向量空间表达对许多自然语言理解问题都很重要. 现在两个比较流行的方法是 multi-task learning language model pre-training 在这篇论文中, 作者提出结合两种方法的网络–Multi-Task Deep Neural Network(MT-DNN). 1. Multi-Task learning multi-
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相关文章
- 1. 论文阅读 Multi-Task Deep Neural Networks for Natural Language Understanding
- 2. Multi-Task Deep Neural Networks for Natural Language Understanding【MT-DNN模型】
- 3. CS224d: Deep Learning for Natural Language Process
- 4. 文献阅读：Improving Multi-Task Deep Neural Networks via Knowledge Distillation for Natural Language Under
- 5. 论文阅读笔记：BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
- 6. 论文阅读笔记（五十三）：Understanding Deep Convolutional Networks
- 7. Stochastic Answer Networks for Natural Language Inference阅读笔记
- 8. 文献阅读笔记：NEZHA(Neural Contextualized Representation for Chinese Language Understanding)
- 9. Understanding Neural Networks Through Deep Visualization
- 10. Understanding Convolutional Neural Networks for NLP