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Text style transfer is an important task in natural language generation, which aims to control certain attributes in the generated text, such as politeness, emotion, humor, and many others.
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Boulis, Constantinos and Mari Ostendorf. 2005 · 2005
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Stable style transformer: Delete and generate approach with encoder-decoder for text style transfer
Lee, Joosung. 2020 · 2005
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Retrieval-augmented generation for knowledge-intensive NLP tasks
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Automatic synonym and phrase replacement show promise for style transformation
Khosmood, Foaad and Robert Levinson. 2010 · 2010
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Reformulating unsupervised style transfer as paraphrase generation
Krishna, Kalpesh, John Wieting, and Mohit Iyyer. 2020 · 2010
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Xu, Wei, Alan Ritter, Bill Dolan, Ralph Grishman, and Colin Cherry. 2012 · 2012
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Bullying in the digital age: A critical review and meta-analysis of cyberbullying research among youth
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A bibliometric analysis of privacy and ethics in IEEE Security and Privacy
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Social bots distort the 2016 us presidential election online discussion
Bessi, Alessandro and Emilio Ferrara. 2016 · 2016
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Image style transfer using convolutional neural networks
Gatys, Leon A., Alexander S. Ecker, and Matthias Bethge. 2016 · 2016
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Incorporating copying mechanism in sequence-to-sequence learning
Gu, Jiatao, Zhengdong Lu, Hang Li, and Victor O.K. Li. 2016 · 2016
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Learning distributed representations of sentences from unlabelled data
Hill, Felix, Kyunghyun Cho, and Anna Korhonen. 2016 · 2016
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The social impact of natural language processing
Hovy, Dirk and Shannon L. Spruit. 2016 · 2016
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A theme-rewriting approach for generating algebra word problems
Koncel-Kedziorski, Rik, Ioannis Konstas, Luke Zettlemoyer, and Hannaneh Hajishirzi. 2016 · 2016
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A persona-based neural conversation model
Li, Jiwei, Michel Galley, Chris Brockett, Georgios P. Spithourakis, Jianfeng Gao, and William B. Dolan. 2016 · 2016
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Author obfuscation using wordnet and language models—notebook for pan at clef 2016
Mansoorizadeh, Muharram, Taher Rahgooy, Mohammad Aminiyan, and Mahdy Eskandari. 2016 · 2016
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Obfuscating gender in social media writing
Reddy, Sravana and Kevin Knight. 2016 · 2016
IMaT: Unsupervised text attribute transfer via iterative matching and translation
Jin, Zhijing, Di Jin, Jonas Mueller, Nicholas Matthews, and Enrico Santus. 2019 · 2019
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Disentangled representation learning for non-parallel text style transfer
John, Vineet, Lili Mou, Hareesh Bahuleyan, and Olga Vechtomova. 2019 · 2019
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Negative lexically constrained decoding for paraphrase generation
Kajiwara, Tomoyuki. 2019 · 2019
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Multiple-attribute text rewriting
Lample, Guillaume, Sandeep Subramanian, Eric Michael Smith, Ludovic Denoyer, Marc’Aurelio Ranzato, and Y-Lan Boureau. 2019 · 2019
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Domain adaptive text style transfer
Li, Dianqi, Yizhe Zhang, Zhe Gan, Yu Cheng, Chris Brockett, Bill Dolan, and Ming-Ting Sun. 2019 · 2019
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Challenging common assumptions in the unsupervised learning of disentangled representations
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Artistic style transfer for videos
Ruder, Manuel, Alexey Dosovitskiy, and Thomas Brox. 2016 · 2016
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Controlling politeness in neural machine translation via side constraints
Sennrich, Rico, Barry Haddow, and Alexandra Birch. 2016a · 2016
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Author masking by sentence transformation—notebook for pan at clef 2017
Castro, Daniel, Reynier Ortega, and Rafael Muñoz. 2017 · 2017
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Coherent online video style transfer
Chen, Dongdong, Jing Liao, Lu Yuan, Nenghai Yu, and Gang Hua. 2017a · 2017
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StyleBank: An explicit representation for neural image style transfer
Chen, Dongdong, Lu Yuan, Jing Liao, Nenghai Yu, and Gang Hua. 2017b · 2017
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Controlling linguistic style aspects in neural language generation
Ficler, Jessica and Yoav Goldberg. 2017 · 2017
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Locatello, Francesco, Stefan Bauer, Mario Lucic, Gunnar Rätsch, Sylvain Gelly, Bernhard Schölkopf, and Olivier Bachem. 2019 · 2019
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A dual reinforcement learning framework for unsupervised text style transfer
Luo, Fuli, Peng Li, Jie Zhou, Pengcheng Yang, Baobao Chang, Zhifang Sui, and Xu Sun. 2019 · 2019
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Evaluating style transfer for text
Mir, Remi, Bjarke Felbo, Nick Obradovich, and Iyad Rahwan. 2019 · 2019
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Large-scale hierarchical alignment for data-driven text rewriting
Nikolov, Nikola I. and Richard H. R. Hahnloser. 2019 · 2019
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Unsupervised evaluation metrics and learning criteria for non-parallel textual transfer
Pang, Richard Yuanzhe and Kevin Gimpel. 2019 · 2019
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AutoVC: Zero-shot voice style transfer with only autoencoder loss
Qian, Kaizhi, Yang Zhang, Shiyu Chang, Xuesong Yang, and Mark Hasegawa-Johnson. 2019 · 2019
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Counterfactual story reasoning and generation
Qin, Lianhui, Antoine Bosselut, Ari Holtzman, Chandra Bhagavatula, Elizabeth Clark, and Yejin Choi. 2019 · 2019
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Language models are unsupervised multitask learners
Radford, Alec, Jeffrey Wu, Rewon Child, David Luan, Dario Amodei, and Ilya Sutskever. 2019 · 2019
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Adversarial decomposition of text representation
Romanov, Alexey, Anna Rumshisky, Anna Rogers, and David Donahue. 2019 · 2019
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Semi-supervised text style transfer: Cross projection in latent space
Shang, Mingyue, Piji Li, Zhenxin Fu, Lidong Bing, Dongyan Zhao, Shuming Shi, and Rui Yan. 2019 · 2019
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MASS: masked sequence to sequence pre-training for language generation
Song, Kaitao, Xu Tan, Tao Qin, Jianfeng Lu, and Tie-Yan Liu. 2019 · 2019
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Counterfactuals
Starr, William. 2019 · 2019
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"transforming" delete, retrieve, generate approach for controlled text style transfer
Sudhakar, Akhilesh, Bhargav Upadhyay, and Arjun Maheswaran. 2019 · 2019
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Style transfer for texts: Retrain, report errors, compare with rewrites
Tikhonov, Alexey, Viacheslav Shibaev, Aleksander Nagaev, Aigul Nugmanova, and Ivan P. Yamshchikov. 2019 · 2019
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BiSET: Bi-directional selective encoding with template for abstractive summarization
Wang, Kai, Xiaojun Quan, and Rui Wang. 2019 · 2019
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Controllable unsupervised text attribute transfer via editing entangled latent representation
Wang, Ke, Hang Hua, and Xiaojun Wan. 2019 · 2019
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Harnessing pre-trained neural networks with rules for formality style transfer
Wang, Yunli, Yu Wu, Lili Mou, Zhoujun Li, and Wenhan Chao. 2019 · 2019
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Unsupervised clinical language translation
Weng, Wei-Hung, Yu-An Chung, and Peter Szolovits. 2019 · 2019
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Extract and edit: An alternative to back-translation for unsupervised neural machine translation
Wu, Jiawei, Xin Wang, and William Yang Wang. 2019 · 2019
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Decomposing textual information for style transfer
Yamshchikov, Ivan P., Viacheslav Shibaev, Aleksander Nagaev, Jürgen Jost, and Alexey Tikhonov. 2019 · 2019
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STaDA: Style transfer as data augmentation
Zheng, Xu, Tejo Chalasani, Koustav Ghosal, Sebastian Lutz, and Aljosa Smolic. 2019 · 2019
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ReproGen: Proposal for a shared task on reproducibility of human evaluations in NLG
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