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Text style transfer is the task of transferring the style of text having certain stylistic attributes, while preserving non-stylistic or content information.
A learning algorithm for continually running fully recurrent neural networks
Ronald J. Williams and David Zipser. 1989 · 1989
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Nightmare at test time: Robust learning by feature deletion
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Scheduled sampling for sequence prediction with recurrent neural networks
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Ground truth for grammatical error correction metrics
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Obfuscating gender in social media writing
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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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Style transfer from non-parallel text by cross-alignment
Tianxiao Shen, Tao Lei, Regina Barzilay, and Tommi Jaakkola. 2017 · 2017
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Ł ukasz Kaiser, and Illia Polosukhin. 2017 · 2017
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Daniel Cer, Yinfei Yang, Sheng yi Kong, Nan Hua, Nicole Limtiaco, Rhomni St. John, Noah Constant, Mario Guajardo-Cespedes, Steve Yuan, Chris Tar, Yun-Hsuan Sung, Brian Strope, and Ray Kurzweil. 2018 · 2018
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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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Pathologies of neural models make interpretations difficult
Shi Feng, Eric Wallace, Alvin Grissom II, Mohit Iyyer, Pedro Rodriguez, and Jordan Boyd-Graber. 2018 · 2018
Multiple-attribute text style transfer
Sandeep Subramanian, Guillaume Lample, Eric Michael Smith, Ludovic Denoyer, Marc’Aurelio Ranzato, and Y-Lan Boureau. 2018 · 2018
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RtGender: A corpus for studying differential responses to gender
Rob Voigt, David Jurgens, Vinodkumar Prabhakaran, Dan Jurafsky, and Yulia Tsvetkov. 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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Stylistic Chinese poetry generation via unsupervised style disentanglement
Cheng Yang, Maosong Sun, Xiaoyuan Yi, and Wenhao Li. 2018 · 2018
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SHAPED: Shared-private encoder-decoder for text style adaptation
Ye Zhang, Nan Ding, and Radu Soricut. 2018a · 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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Disentangled representation learning for non-parallel text style transfer
Vineet John, Lili Mou, Hareesh Bahuleyan, and Olga Vechtomova. 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. 2018 · 2018
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Style transfer through back-translation
Shrimai Prabhumoye, Yulia Tsvetkov, Ruslan Salakhutdinov, and Alan W Black. 2018 · 2018
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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.
Improving language understanding by generative pre-training
Alec Radford, Karthik Narasimhan, Tim Salimans, and Ilya Sutskever
Cited in the paper.
Style transfer as unsupervised machine translation
Zhirui Zhang, Shuo Ren, Shujie Liu, Jianyong Wang, Peng Chen, Mu Li, Ming Zhou, and Enhong Chen. 2018b
Cited in the paper.
Ning Dai, Jianze Liang, Xipeng Qiu, and Xuanjing Huang. 2019 · 2019
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Reinforcement learning based text style transfer without parallel training corpus
Hongyu Gong, Suma Bhat, Lingfei Wu, Jinjun Xiong, and Wen mei Hwu. 2019 · 2019
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Evaluating style transfer for text
Remi Mir, Bjarke Felbo, Nick Obradovich, and Iyad Rahwan. 2019 · 2019
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Visualizing attention in transformer-based language representation models
Jesse Vig. 2019 · 2019
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