awesome-text-style-transfer

This is a list of resources about Text Style Transfer.

Please feel free to pull requests or open an issue to add papers.

Papers, Code and Slides

Supervised Text Style Transfer

• [NAACL-18] Dear Sir or Madam, May I Introduce the GYAFC Dataset: Corpus, Benchmarks and Metrics for Formality Style Transfer. Sudha Rao and Joel Tetreault. [data]

• [COLING-18] Multi-Task Neural Models for Translating Between Styles Within and Across Languages. Xing Niu, Sudha Rao and Marine Carpuat. [code]

Unsupervised Text Style Transfer

• [ICML-17] Toward Controlled Generation of Text. Zhiting Hu, Zichao Yang, Xiaodan Liang, Ruslan Salakhutdinov and Eric P. Xing. [code] [slides]

• [ICML-17] Sequence to Better Sequence Continuous Revision of Combinatorial Structures. Jonas Mueller, David Gifford and Tommi Jaakkola.

• [NIPS-17] Style Transfer from Non-Parallel Text by Cross-Alignment. Tianxiao Shen, Tao Lei, Regina Barzilay and Tommi Jaakola. [code] [slides]

• [AAAI-18] Style Transfer in Text: Exploration and Evaluation. Zhenxin Fu, Xiaoye Tan, Nanyun Peng, Dongyan Zhao, Rui Yan. [code] [data]

• [AAAI-18] Incorporating Discriminator in Sentence Generation: a Gibbs Sampling Method. Jinyue Su, Jiacheng Xu, Xipeng Qiu and Xuanjing Huang.

• [NAACL-18] Delete, Retrieve, Generate: A Simple Approach to Sentiment and Style Transfer. Juncen Li, Robin Jia, He He and Percy Liang. [code]

• [ACL-18] Style Transfer Through Back-Translation. Shrimai Prabhumoye, Yulia Tsvetkov, Ruslan Salakhutdinov and Alan W Black. [code]

• [ACL-18] Unpaired Sentiment-to-Sentiment Translation: A Cycled Reinforcement Learning Approach. Jingjing Xu, Xu Sun, Qi Zeng, Xuancheng Ren, Xiaodong Zhang, Houfeng Wang, Wenjie Li. [code]

• [ACL-18] Fighting Offensive Language on Social Media with Unsupervised Text Style Transfer. Cicero Nogueira dos Santos, Igor Melnyk and Inkit Padhi.

• [ICML-18] Adversarially Regularized Autoencoders. Jake (Junbo) Zhao, Yoon Kim, Kelly Zhang, Alexander M. Rush and Yann LeCun. [code]

• [EMNLP-18] QuaSE: Sequence Editing under Quantifiable Guidance. Yi Liao, Lidong Bing, Piji Li, Shuming Shi, Wai Lam and Tong Zhang. [code]

• [EMNLP-18] Learning Sentiment Memories for Sentiment Modification without Parallel Data. Yi Zhang, Jingjing Xu, Pengcheng Yang and Xu Sun. [code]

• [arXiv-18] Style Transfer as Unsupervised Machine Translation. Zhirui Zhang, Shuo Ren, Shujie Liu, Jianyong Wang, Peng Chen, Mu Li, Ming Zhou, Enhong Chen.

• [arXiv-18] Structured Content Preservation for Unsupervised Text Style Transfer. Youzhi Tian, Zhiting Hu and Zhou Yu. [code]

• [NIPS-18] Unsupervised Text Style Transfer using Language Models as Discriminators. Zichao Yang, Zhiting Hu, Chris Dyer, Eric P. Xing and Taylor Berg-Kirkpatrick.

• [NIPS-18] Content Preserving Text Generation with Attribute Controls. Lajanugen Logeswaran, Honglak Lee and Samy Bengio.

• [NIPS-18] Adversarial Text Generation via Feature-Mover's Distance. Liqun Chen, Shuyang Dai, Chenyang Tao, Dinghan Shen, Zhe Gan, Haichao Zhang, Yizhe Zhang, Ruiyi Zhang, Guoyin Wang, Lawrence Carin.

• [AAAI-19] Unsupervised Controllable Text Formalization. Parag Jain, Abhijit Mishra, Amar Prakash Azad and Karthik Sankaranarayanan.

• [ICLR-19] Multiple-Attribute Text Rewriting. Sandeep Subramanian, Guillaume Lample, Eric Michael Smith, Ludovic Denoyer, Marc’Aurelio Ranzato and Y-Lan Boureau.

• [NAACL-19] Evaluating Style Transfer for Text. Remi Mir, Bjarke Felbo, Nick Obradovich and Iyad Rahwan. [code]

• [NAACL-19] Reinforcement Learning Based Text Style Transfer without Parallel Training Corpus. Hongyu Gong, Suma Bhat, Lingfei Wu, JinJun Xiong and Wen-mei Hwu.

• [NAACL-19] Adversarial Decomposition of Text Representation. Alexey Romanov, Anna Rumshisky, Anna Rogers and David Donahue. [code]

• [NAACL-19] Neural Text Style Transfer via Denoising and Reranking. Joseph Lee, Ziang Xie, Cindy Wang, Max Drach, Dan Jurafsky and Andrew Ng.

• [IJCAI-19] Utilizing Non-Parallel Text for Style Transfer by Making Partial Comparisons. Di Yin, Shujian Huang, Xin-Yu Dai and Jiajun Chen. [code]

• [IJCAI-19] A Dual Reinforcement Learning Framework for Unsupervised Text Style Transfer. Fuli Luo, Peng Li, Jie Zhou, Pengcheng Yang, Baobao Chang, Xu Sun, Zhifang Sui. [code]

• [IJCAI-19] Mask and Infill: Applying Masked Language Model for Sentiment Transfer. Xing Wu, Tao Zhang, Liangjun Zang, Jizhong Han and Songlin Hu.

• [ACL-19] Style Transformer: Unpaired Text Style Transfer without Disentangled Latent Representation. Ning Dai, Jianze Liang, Xipeng Qiu and Xuanjing Huang. [code]

• [ACL-19] A Hierarchical Reinforced Sequence Operation Method for Unsupervised Text Style Transfer. Chen Wu, Xuancheng Ren, Fuli Luo and Xu Sun. [code]

• [ACL-19] Towards Unsupervised Fine-grained Sentiment Transfer. Fuli Luo, Peng Li, Pengcheng Yang, Jie Zhou, Yutong Tan, Baobao Chang, Zhifang Sui and Xu Sun. [code]

• [ACL-19] Disentangled Representation Learning for Non-Parallel Text Style Transfer. Vineet John, Lili Mou, Hareesh Bahuleyan and Olga Vechtomova. [code]

• [ACL-19] Curate and Generate: A Corpus and Method for Joint Control of Semantics and Style in Neural NLG. Shereen Oraby, Vrindavan Harrison, Abteen Ebrahimi and Marilyn Walker. [data]

• [EMNLP-19] Domain Adaptive Text Style Transfer. Dianqi Li, Yizhe Zhang, Zhe Gan, Yu Cheng, Chris Brockett, Ming-Ting Sun, Bill Dolan. [code]

• [EMNLP-19] Transforming Delete, Retrieve, Generate Approach for Controlled Text Style Transfer. Akhilesh Sudhakar, Bhargav Upadhyay, Arjun Maheswaran. [code]

• [EMNLP-19] Style Transfer for Texts: Retrain, Report Errors, Compare with Rewrites. Alexey Tikhonov, Viacheslav Shibaev, Aleksander Nagaev, Aigul Nugmanova and Ivan P. Yamshchikov. [code]

• [EMNLP-19] Unsupervised Text Attribute Transfer via Iterative Matching and Translation. Zhijing Jin, Di Jin, Jonas Mueller, Nicholas Matthews, Enrico Santus. [data]

• [EMNLP-19] Semi-supervised Text Style Transfer: Cross Projection in Latent Space. Mingyue Shang, Piji Li, Zhenxin Fu, Lidong Bing, Dongyan Zhao, Shuming Shi, Rui Yan. [data]

• [EMNLP-19] Harnessing Pre-Trained Neural Networks with Rules for Formality Style Transfer. Yunli Wang, Yu Wu, Lili Mou, Zhoujun Li, Wenhan Chao. [code]

• [NeurIPS-19] Controllable Unsupervised Text Attribute Transfervia Editing Entangled Latent Representation. Ke Wang, Hang Hua and Xiaojun Wan. [code]

• [EMNLP-19-workshop] Decomposing Textual Information For Style Transfer. Ivan P. Yamshchikov, Viacheslav Shibaev, Aleksander Nagaev, Jürgen Jost, Alexey Tikhonov.

• [EMNLP-19-workshop] Unsupervised Evaluation Metrics and Learning Criteria for Non-Parallel Textual Transfer, EMNLP Workshop on Neural Generation and Translation. Richard Yuanzhe Pang, Kevin Gimpel.

• [EMNLP-19-workshop] The Daunting Task of Real-World Textual Style Transfer Auto-Evaluation. Richard Yuanzhe Pang.

• [INLG-19] Rethinking Text Attribute Transfer: A Lexical Analysis. Yao Fu, Hao Zhou, Jiaze Chen, Lei Li.

• [arXiv-19] Revision in Continuous Space: Fine-Grained Control of Text Style Transfer. Dayiheng Liu, Jie Fu, Yidan Zhang, Chris Pal, Jiancheng Lv. [code]

Related Applications

Style Transfer in Headline Generation

• [NAACL-18] SHAPED: Shared-Private Encoder-Decoder for Text Style Adaptation. Ye Zhang, Nan Ding and Radu Soricut.
• [ICDM-18] Deep Headline Generation for Clickbait Detection. Kai Shu, Suhang Wang, Thai Le, Dongwon Lee and Huan Liu.

Stylized Image Captioning

• [AAAI-16] Senticap: Generating image descriptions with sentiments. Alexander Mathews, Lexing Xie and Xuming He.
• [CVPR-17] Stylenet: Generating attractive visual captions with styles. Chuang Gan, Zhe Gan, Xiaodong He, Jianfeng Gao and Li Deng.
• [CVPR-18] SemStyle: Learning to Generate Stylised Image Captions using Unaligned Text. Alexander Mathews and Lexing Xie and Xuming He.
• [ECCV-18] “Factual” or “Emotional”: Stylized Image Captioning with Adaptive Learning and Attention. Tianlang Chen , Zhongping Zhang, Quanzeng You, Chen Fang, Zhaowen Wang, Hailin Jin and Jiebo Luo.

Something helpful from other areas

• A paper list about Image-to-Image Translation. [link]
• A paper list about Learning Disentangled Representations. [link]

Copyright

By Di Yin ([email protected]) from the NLP Group of Nanjing University.