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1. 机器翻译、序列到序列、注意力模型:Machine Translation, Seq2Seq and Attention
- **课件:** [lecture10](https://github.com/learning511/cs224n-learning-camp/blob/master/lecture-notes/cs224n-2017-lecture10.pdf)
- [观看视频](https://www.bilibili.com/video/av30326868/?p=10)
- **学习笔记**[机器翻译、序列到序列、注意力模型]http://www.hankcs.com/nlp/cs224n-9-nmt-models-with-attention.html)
- **学习笔记**[机器翻译、序列到序列、注意力模型](http://www.hankcs.com/nlp/cs224n-9-nmt-models-with-attention.html)

2. GRU和NMT的进阶
- **课件:** [lecture11](https://github.com/learning511/cs224n-learning-camp/blob/master/lecture-notes/cs224n-2017-lecture11.pdf)
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3. 论文导读:谷歌的多语种神经网络翻译系统
- **论文原文:** [paper](https://github.com/learning511/cs224n-learning-camp/blob/master/paper/Google%E2%80%99s%20Multilingual%20Neural%20Machine%20Translation%20System_%20Enabling%20Zero-Shot%20Translation.pdf)
- **论文分析:** [highlight](https://github.com/learning511/cs224n-learning-camp/blob/master/paper/highlight/cs224n-2017-lecture8-highlight.pdf)
- **论文分析:** [highlight](https://github.com/learning511/cs224n-learning-camp/blob/master/paper/highlight/cs224n-2017-lecture8-highlight.pdf)
- **论文笔记:**[谷歌的多语种神经网络翻译系统](http://www.hankcs.com/nlp/cs224n-google-nmt.html)
4. 作业:Assignment 3.1
- 3.1 A window into named entity recognition(NER)基于窗口模式的名称识别
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3. **论文导读**:神经网络自动代码摘要
- **论文原文:** [paper](https://github.com/learning511/cs224n-learning-camp/blob/master/paper/Summarizing%20Source%20Code%20using%20a%20Neural%20Attention%20Model.pdf)
- **论文分析:--------** [highlight]()
- **论文分析:--------** [highlight]()
- **论文笔记:**[神经网络自动代码摘要](http://www.hankcs.com/nlp/cs224n-summarizing-source-code.html)
6. 比赛(待定)

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- ****学习笔记****[挑战深度学习与自然语言处理的极限](http://www.hankcs.com/nlp/cs224n-tackling-the-limits-of-dl-for-nlp.html)

2. **论文导读**:neural-turing-machines
- **论文原文:** [paper](https://github.com/learning511/cs224n-learning-camp/blob/master/paper/Neural%20Turing%20Machines.pdf)
- **论文原文:** [paper](https://github.com/learning511/cs224n-learning-camp/blob/master/paper/Neural%20Turing%20Machines.pdf)
- **论文分析:** [highlight](https://github.com/learning511/cs224n-learning-camp/blob/master/paper/highlight/cs224n-2017-lecture14-highlight.pdf)
- **论文笔记:**[neural-turing-machines](http://www.hankcs.com/nlp/cs224n-neural-turing-machines.html)

3 **论文导读**: 深度强化学习用于对话生成
- **论文原文:** [paper](https://github.com/learning511/cs224n-learning-camp/blob/master/paper/Deep%20Reinforcement%20Learning%20for%20Dialogue%20Generation.pdf)
- **论文分析:** [highlight](https://github.com/learning511/cs224n-learning-camp/blob/master/paper/highlight/cs224n-2017-lecture11-highlight.pdf)
- **论文分析:** [highlight](https://github.com/learning511/cs224n-learning-camp/blob/master/paper/highlight/cs224n-2017-lecture11-highlight.pdf)
- **论文笔记:**[深度强化学习用于对话生成](http://www.hankcs.com/nlp/cs224n-deep-reinforcement-learning-for-dialogue-generation.html)

### Week11
1. **论文导读**:图像对话
1. **论文导读**:图像对话------------------
- **论文原文:** [paper]()
- **论文分析:** [highlight]()
- **论文分析:** [highlight]()
- **论文笔记:**[图像对话](http://www.hankcs.com/nlp/cs224n-visual-dialog.html)
2. 比赛复盘
3. 期末总结

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