This is a paper list for style transfer in text. It also contains some related research areas, including controlled text generation.

Keyword: Style Transfer, Unsupervised, Natural Language Processing

• Dear Sir or Madam, May I introduce the YAFC Corpus: Corpus, Benchmarks and Metrics for Formality Style Transfer, NAACL-HLT 2018, [paper]

• Shakespearizing Modern Language Using Copy-Enriched Sequence to Sequence Models, EMNLP-2017 Workshop, [paper][code]

• Sequence to Better Sequence: Continuous Revision of Combinatorial Structures, ICML-2017, [paper], [code]
• Toward Controlled Generation of Text, ICML-2017, [paper], [official code], [unofficial code]
• Style Transfer from Non-Parallel Text by Cross-Alignment, NIPS-2017, [paper], [code]
• Zero-Shot Style Transfer in Text Using Recurrent Neural Networks, Arxiv-2017, [paper], [code]
• Style Transfer in Text: Exploration and Evaluation, AAAI-2018, [paper], [code]
• Delete, Retrieve, Generate: A Simple Approach to Sentiment and Style Transfer, NAACL-2018, [paper], [code]
• SHAPED: Shared-Private Encoder-Decoder for Text Style Adaptation, NAACL-2018, [paper]
• Sentiment Transfer using Seq2Seq Adversarial Autoencoders, project for CSYE7245 Northeastern University, [paper]
• Style Transfer Through Back-Translation, ACL-2018, [paper], [code]
• Unpaired Sentiment-to-Sentiment Translation: A Cycled Reinforcement Learning Approach, ACL-2018, [paper], [code]
• Fighting Offensive Language on Social Media with Unsupervised Text Style Transfer, ACL-2018, [paper]
• Unsupervised Text Style Transfer using Language Models as Discriminators, NIPS-2018, [paper]
• Disentangled Representation Learning for Text Style Transfer, Arxiv, [paper], [code]
• Language Style Transfer from Sentences with Arbitrary Unknown Styles, Arxiv, [paper]
• What is wrong with style transfer for texts? Arxiv, [paper]
• Style Transfer as Unsupervised Machine Translation, Arxiv, [paper]
• Learning Sentiment Memories for Sentiment Modification without Parallel Data, EMNLP-2018, [paper], [code]
• Style Transfer Through Multilingual and Feedback-Based Back-Translation, Arxiv, 2018, [paper]
• Structured Content Preservation for Unsupervised Text Style Transfer, OpenReview, 2018, [paper]
• Adversarially Regularized Autoencoders, ICML-2018, [paper], [code]
• Unsupervised Controllable Text Formalization, Arxiv, 2018, [paper]
• Large-scale Hierarchical Alignment for Author Style Transfer, Arxiv, 2018, [paper]
• Learning Criteria and Evaluation Metrics for Textual Transfer between Non-Parallel Corpora, Arxiv, 2018, [paper]
• Multiple-Attribute Text Style Transfer, Arxiv, 2018, [paper]
• Content preserving text generation with attribute controls, NIPS, 2018, [paper]
• Multiple-Attribute Text Rewriting, OpenReview, 2018, [paper]
• Iterative Matching and Translation for Non-Parallel Style Transfer, UNK, 2018, [paper]

• Controlling Linguistic Style Aspects in Neural Language Generation, EMNLP-2017 Workshop, [paper]
• Is writing style predictive of scientific fraud?, EMNLP-2017 Workshop, [paper]
• Incorporating Pseudo-Parallel Data for Quantifiable Sequence Editing, EMNLP-2018, [paper]
• Polite Dialogue Generation Without Parallel Data, TACL, [paper]
• Adversarial Decomposition of Text Representation, Arxiv, [paper]
• Unsupervised Stylish Image Description Generation via Domain Layer Norm, Arxiv, [paper]

• Stylistic Variation, EMNLP-2017, [link]
• Stylistic Variation, NAACL-HLT-2018, [link]

By Zhenxin Fu ([email protected]) from Peking University.
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