https://github.com/shujian2015/rl4nlp
A collection of papers on reinforcement learning applied to NLP
https://github.com/shujian2015/rl4nlp
natural-language-processing papers reinforcement-learning
Last synced: 3 months ago
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A collection of papers on reinforcement learning applied to NLP
- Host: GitHub
- URL: https://github.com/shujian2015/rl4nlp
- Owner: Shujian2015
- License: mit
- Created: 2018-06-07T03:53:41.000Z (almost 7 years ago)
- Default Branch: master
- Last Pushed: 2018-09-07T03:31:13.000Z (over 6 years ago)
- Last Synced: 2025-02-15T12:50:03.408Z (3 months ago)
- Topics: natural-language-processing, papers, reinforcement-learning
- Homepage:
- Size: 8.79 KB
- Stars: 14
- Watchers: 3
- Forks: 5
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Reinforcement Learning for Natural Language Processing
---
## Tutorial:
* William Wang, Jiwei Li, and Xiaodong He. [ACL 2018 Tutorial on Deep Reinforcement Learning for NLP](http://www.cs.ucsb.edu/~william/DRL4NLP.html)
* 黄民烈. [深度强化学习及其在自然语言处理中的应用](https://mp.weixin.qq.com/s/RLEuaiRdq6AbTSUcYQ5O3A)
## Text Classification:
* Zhang, Tianyang, Minlie Huang, and Li Zhao. "[Learning Structured Representation for Text Classification via Reinforcement Learning.](http://coai.cs.tsinghua.edu.cn/hml/media/files/AAAI2018_ClassifyAndStructure.pdf)" AAAI, 2018.
* Feng, Jun, et al. "[Reinforcement Learning for Relation Classification from Noisy Data.](https://www.microsoft.com/en-us/research/wp-content/uploads/2017/11/AAAI2018Denoising.pdf)" Proceedings of AAAI. 2018.
## Chatbot/QA:
* Li, Jiwei, et al. "[Deep reinforcement learning for dialogue generation.](https://arxiv.org/abs/1606.01541)" arXiv preprint arXiv:1606.01541 (2016).
## Text Summarization:
* Wojciech Kryściński, Romain Paulus, Caiming Xiong, Richard Socher. "[Improving Abstraction in Text Summarization.](https://arxiv.org/pdf/1808.07913.pdf)" EMNLP 2018.
* Yen-Chun Chen, Mohit Bansal. "[Fast Abstractive Summarization with Reinforce-Selected Sentence Rewriting.](https://arxiv.org/abs/1805.11080)" arXiv preprint arXiv:1805.11080. ACL 2018 [[Code](https://github.com/ChenRocks/fast_abs_rl)]
* Paulus, Romain, Caiming Xiong, and Richard Socher. "[A deep reinforced model for abstractive summarization.](https://arxiv.org/abs/1705.04304)" arXiv preprint arXiv:1705.04304 (2017) [[Blog](https://www.salesforce.com/products/einstein/ai-research/tl-dr-reinforced-model-abstractive-summarization/)]
## Translation:
* Lijun Wu, Fei Tian, Tao Qin, Jianhuang Lai, Tie-Yan Liu. "[A Study of Reinforcement Learning for Neural Machine Translation.](https://arxiv.org/abs/1808.08866)" arXiv preprint arXiv:1808.08866. EMNLP 2018 [[Code](https://github.com/apeterswu/RL4NMT)]
---
## More:
* [Search on Arxiv](https://arxiv.org/search/advanced?advanced=&terms-0-operator=AND&terms-0-term=cs.CL&terms-0-field=all&terms-1-operator=AND&terms-1-term=reinforce&terms-1-field=abstract&classification-computer_science=y&classification-physics_archives=all&date-filter_by=all_dates&date-year=&date-from_date=&date-to_date=&date-date_type=submitted_date&abstracts=show&size=50&order=-announced_date_first)
* [Search on Arxiv Sanity](http://www.arxiv-sanity.com/search?q=cs.CL+reinforce)
* [Zhihu Question](https://www.zhihu.com/question/47548097)
---
## Some Basic Materials:
* [RL](https://github.com/Shujian2015/FreeML/blob/master/README.md#reinforcement-learning)
* [NLP](https://github.com/Shujian2015/FreeML/blob/master/README.md#natural-language-processing)