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Controlled text generation tasks such as unsupervised text style transfer have increasingly adopted the use of Reinforcement Learning (RL).
Training language gans from scratch
Cyprien de Masson d’Autume, Mihaela Rosca, Jack Rae, and Shakir Mohamed. 2019 · 1905
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Revision in continuous space: Fine-grained control of text style transfer
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Transforming delete, retrieve, generate approach for controlled text style transfer
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" mask and infill": Applying masked language model to sentiment transfer
Xing Wu, Tao Zhang, Liangjun Zang, Jizhong Han, and Songlin Hu. 2019b · 1908
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Simple statistical gradient-following algorithms for connectionist reinforcement learning
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Bleu: a method for automatic evaluation of machine translation
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Bert as a teacher: Contextual embeddings for sequence-level reward
Florian Schmidt and T. Hofmann. 2020 · 2003
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Bandit based monte-carlo planning
Levente Kocsis and Csaba Szepesvári. 2006 · 2006
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Maximum entropy inverse reinforcement learning
Brian D. Ziebart, Andrew L. Maas, J. Andrew Bagnell, and Anind K. Dey. 2008 · 2008
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An actor-critic algorithm for sequence prediction
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Toward controlled generation of text
Zhiting Hu, Zichao Yang, Xiaodan Liang, Ruslan Salakhutdinov, and Eric P. Xing. 2017 · 2017
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Bag of tricks for efficient text classification
Armand Joulin, Edouard Grave, Piotr Bojanowski, and Tomas Mikolov. 2017 · 2017
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Sentence simplification with deep reinforcement learning
Xingxing Zhang and Mirella Lapata. 2017 · 2017
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Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2018 · 2018
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Style transfer in text: Exploration and evaluation
Zhenxin Fu, Xiaoye Tan, Nanyun Peng, Dongyan Zhao, and Rui Yan. 2018 · 2018
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Phrase-based & neural unsupervised machine translation
Toward diverse text generation with inverse reinforcement learning
Zhan Shi, Xinchi Chen, Xipeng Qiu, and X. Huang. 2018 · 2018
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A study of reinforcement learning for neural machine translation
Lijun Wu, Fei Tian, Tao Qin, J. Lai, and T. Liu. 2018 · 2018
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Unpaired sentiment-to-sentiment translation: A cycled reinforcement learning approach
Jingjing Xu, Xu SUN, Qi Zeng, Xiaodong Zhang, Xuancheng Ren, Houfeng Wang, and Wenjie Li. 2018 · 2018
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Unsupervised text style transfer using language models as discriminators
Zichao Yang, Zhiting Hu, Chris Dyer, Eric P Xing, and Taylor Berg-Kirkpatrick. 2018 · 2018
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Language style transfer from sentences with arbitrary unknown styles
Yanpeng Zhao, Wei Bi, Deng Cai, Xiaojiang Liu, Kewei Tu, and Shuming Shi. 2018 · 2018
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Guillaume Lample, Myle Ott, Alexis Conneau, Ludovic Denoyer, and Marc’Aurelio Ranzato. 2018 · 2018
Cited alongside, same era.
Delete, retrieve, generate: a simple approach to sentiment and style transfer
Juncen Li, Robin Jia, He He, and Percy Liang. 2018a · 2018
Cited alongside, same era.
Paraphrase generation with deep reinforcement learning
Zichao Li, Xin Jiang, Lifeng Shang, and Hang Li. 2018c · 2018
Cited alongside, same era.
A deep reinforced model for abstractive summarization
Romain Paulus, Caiming Xiong, and R. Socher. 2018 · 2018
Cited alongside, same era.
Style transfer through back-translation
Shrimai Prabhumoye, Yulia Tsvetkov, Ruslan Salakhutdinov, and Alan W Black. 2018 · 2018
Cited alongside, same era.
Dear sir or madam, may I introduce the GYAFC dataset: Corpus, benchmarks and metrics for formality style transfer
Sudha Rao and Joel Tetreault. 2018 · 2018
Cited alongside, same era.
Delete, retrieve, generate: A simple approach to sentiment and style transfer
Juncen Li, Robin Jia, He He, and Percy Liang. 2018b
Cited in the paper.
Hongyu Gong, Suma Bhat, Lingfei Wu, Jinjun Xiong, and Wen mei Hwu. 2019 · 2019
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The curious case of neural text degeneration
Ari Holtzman, Jan Buys, Maxwell Forbes, and Yejin Choi. 2019 · 2019
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Disentangled representation learning for non-parallel text style transfer
Vineet John, Lili Mou, Hareesh Bahuleyan, and Olga Vechtomova. 2019 · 2019
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A dual reinforcement learning framework for unsupervised text style transfer
Fuli Luo, Peng Li, Jie Zhou, Pengcheng Yang, Baobao Chang, Xu Sun, and Zhifang Sui. 2019 · 2019
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Language models are unsupervised multitask learners
Alec Radford, Jeff Wu, Rewon Child, David Luan, Dario Amodei, and Ilya Sutskever. 2019 · 2019
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Transformers: State-of-the-art natural language processing
Thomas Wolf, Lysandre Debut, Victor Sanh, Julien Chaumond, Clement Delangue, Anthony Moi, Pierric Cistac, Tim Rault, Rémi Louf, Morgan Funtowicz, Joe Davison, Sam Shleifer, Patrick von Platen, Clara Ma, Yacine Jernite, Julien Plu, Canwen Xu, Teven Le Scao, Sylvain Gugger, Mariama Drame, Quentin Lhoest, and Alexander M. Rush. 2020 · 2020
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