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We present a deep generative model for unsupervised text style transfer that unifies previously proposed non-generative techniques.
compare-mt: A tool for holistic comparison of language generation systems
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A mathematical theory of communication
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A class of gradient-estimation algorithms for reinforcement learning in neural networks
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Dependency-based decipherment for resource-limited machine translation
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Paraphrasing for style
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Auto-encoding variational bayes
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Convolutional neural networks for sentence classification
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Neural machine translation by jointly learning to align and translate
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Linguistic individuality transformation for spoken language
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A neural attention model for abstractive sentence summarization
Alexander M Rush, Sumit Chopra, and Jason Weston · 2015
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Generating sentences from a continuous space
Samuel R Bowman, Luke Vilnis, Oriol Vinyals, Andrew Dai, Rafal Jozefowicz, and Samy Bengio · 2016
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Dual learning for machine translation
Di He, Yingce Xia, Tao Qin, Liwei Wang, Nenghai Yu, Tie-Yan Liu, and Wei-Ying Ma · 2016
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Language as a latent variable: Discrete generative models for sentence compression
Yishu Miao and Phil Blunsom · 2016
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Improving neural machine translation models with monolingual data
Rico Sennrich, Barry Haddow, and Alexandra Birch · 2016
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Toward controlled generation of text
Zhiting Hu, Zichao Yang, Xiaodan Liang, Ruslan Salakhutdinov, and Eric P Xing · 2017
Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin · 2017
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Learning discourse-level diversity for neural dialog models using conditional variational autoencoders
Tiancheng Zhao, Ran Zhao, and Maxine Eskenazi · 2017
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Unsupervised neural machine translation
Mikel Artetxe, Gorka Labaka, Eneko Agirre, and Kyunghyun Cho · 2018
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Phrase-based & neural unsupervised machine translation
Guillaume Lample, Myle Ott, Alexis Conneau, Ludovic Denoyer, and Marc’Aurelio Ranzato · 2018
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Delete, retrieve, generate: A simple approach to sentiment and style transfer
Juncen Li, Robin Jia, He He, and Percy Liang · 2018
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Categorical reparameterization with gumbel-softmax
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Shakespearizing modern language using copy-enriched sequence-to-sequence models
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Google’s multilingual neural machine translation system: Enabling zero-shot translation
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Unsupervised machine translation using monolingual corpora only
Guillaume Lample, Alexis Conneau, Ludovic Denoyer, and Marc’Aurelio Ranzato · 2017
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Deciphering related languages
Nima Pourdamghani and Kevin Knight · 2017
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Style transfer from non-parallel text by cross-alignment
Tianxiao Shen, Tao Lei, Regina Barzilay, and Tommi Jaakkola · 2017
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Sudha Rao and Joel Tetreault · 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
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Structvae: Tree-structured latent variable models for semi-supervised semantic parsing
Pengcheng Yin, Chunting Zhou, Junxian He, and Graham Neubig · 2018
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An effective approach to unsupervised machine translation
Mikel Artetxe, Gorka Labaka, and Eneko Agirre · 2019
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Multiple-attribute text rewriting
Guillaume Lample, Sandeep Subramanian, Eric Smith, Ludovic Denoyer, Marc’Aurelio Ranzato, and Y-Lan Boureau · 2019
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Evaluating style transfer for text
Ronen Mir, Bjarke Felbo, Nick Obradovich, and Iyad Rahwan · 2019
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