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Paper List for Style Transfer in Text
https://github.com/fuzhenxin/Style-Transfer-in-Text
natural-language-processing paper style-transfer survey
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Paper List for Style Transfer in Text
Host: GitHub
URL: https://github.com/fuzhenxin/Style-Transfer-in-Text
Owner: fuzhenxin
Created: 2018-03-04T03:52:06.000Z (almost 7 years ago)
Default Branch: master
Last Pushed: 2023-03-16T03:19:15.000Z (over 1 year ago)
Last Synced: 2024-10-15T09:24:16.982Z (about 2 months ago)
Topics: natural-language-processing, paper, style-transfer, survey
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- Readme: README.md
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README

        # A Paper List for Style Transfer in Text

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*

# Paper List

## Review

- Deep Learning for Text Style Transfer: A Survey, arXiv, 2020, [[paper]](https://arxiv.org/pdf/2011.00416.pdf)

- Text Style Transfer: A Review and Experiment Evaluation, arXiv, 2020, [[paper]](https://arxiv.org/pdf/2010.12742.pdf)

- A Review of Text Style Transfer using Deep Learning, TAI, 2021, [[paper]](https://arxiv.org/abs/2109.15144)

## Dataset

- Dear Sir or Madam, May I introduce the YAFC Corpus: Corpus, Benchmarks and Metrics for Formality Style Transfer, NAACL-HLT 2018, [[paper]](https://arxiv.org/pdf/1803.06535)

- A Dataset for Low-Resource Stylized Sequence-to-Sequence Generation, AAAI, 2020, [[paper]](https://www.msra.cn/wp-content/uploads/2020/01/A-Dataset-for-Low-Resource-Stylized-Sequence-to-Sequence-Generation.pdf), [[code]](https://github.com/MarkWuNLP/Data4StylizedS2S)

- APPDIA: A Discourse-aware Transformer-based Style Transfer Model for Offensive Social Media Conversations, COLING 2022, [[paper]](https://aclanthology.org/2022.coling-1.530.pdf)

- ParaDetox: Detoxification with Parallel Data, ACL 2022, [[paper]](https://aclanthology.org/2022.acl-long.469.pdf)

## Supervised (Parallel Data)

- Shakespearizing Modern Language Using Copy-Enriched Sequence to Sequence Models, EMNLP-2017 Workshop, [[paper]](https://arxiv.org/pdf/1707.01161)[[code]](https://github.com/harsh19/Shakespearizing-Modern-English)

- Evaluating prose style transfer with the Bible, 2018, [[paper]](https://arxiv.org/pdf/1711.04731)

- Harnessing Pre-Trained Neural Networks with Rules for Formality Style Transfer, EMNLP-2019, [[paper]](https://www.aclweb.org/anthology/D19-1365/), [[code]](https://github.com/jimth001/formality_emnlp19)

- Automatically Neutralizing Subjective Bias in Text, AAAI, 2020, [[paper]](https://nlp.stanford.edu/pubs/pryzant2020bias.pdf)

- Formality Style Transfer with Shared Latent Space, COLING 2020, [[paper]](https://www.aclweb.org/anthology/2020.coling-main.203.pdf)

- Smells like Teen Spirit:An Exploration of Sensorial Style in Literary Genres, COLING 2022, [[paper]](https://aclanthology.org/2022.coling-1.6.pdf)

- ParaDetox: Detoxification with Parallel Data, ACL 2022, [[paper]](https://aclanthology.org/2022.acl-long.469.pdf)

## Unsupervised (Non-parallel Data)

- Sequence to Better Sequence: Continuous Revision of Combinatorial Structures, ICML-2017, [[paper]](http://proceedings.mlr.press/v70/mueller17a.html), [[code]](https://bitbucket.org/jwmueller/sequence-to-better-sequence/)

- Toward Controlled Generation of Text, ICML-2017, [[paper]](https://arxiv.org/pdf/1703.00955), [[official code]](https://github.com/asyml/texar/tree/master/examples/text_style_transfer), [[unofficial code]](https://github.com/GBLin5566/toward-controlled-generation-of-text-pytorch)

- Style Transfer from Non-Parallel Text by Cross-Alignment, NIPS-2017, [[paper]](https://papers.nips.cc/paper/7259-style-transfer-from-non-parallel-text-by-cross-alignment.pdf), [[code]](https://github.com/shentianxiao/language-style-transfer)

- Adversarially Regularized Autoencoders, ICML-2018, [[paper]](https://arxiv.org/pdf/1706.04223), [[code]](https://github.com/jakezhaojb/ARAE)

- Zero-Shot Style Transfer in Text Using Recurrent Neural Networks, Arxiv-2017, [[paper]](https://arxiv.org/pdf/1711.04731v1), [[code]](https://github.com/keithecarlson/Zero-Shot-Style-Transfer)

- Style Transfer in Text: Exploration and Evaluation, AAAI-2018, [[paper]](https://arxiv.org/pdf/1711.06861), [[code]](https://github.com/fuzhenxin/text_style_transfer)

- Delete, Retrieve, Generate: A Simple Approach to Sentiment and Style Transfer, NAACL-2018, [[paper]](https://arxiv.org/pdf/1804.06437), [[code]](https://worksheets.codalab.org/worksheets/0xe3eb416773ed4883bb737662b31b4948/)

- SHAPED: Shared-Private Encoder-Decoder for Text Style Adaptation, NAACL-2018, [[paper]](https://arxiv.org/pdf/1804.04093)

- Sentiment Transfer using Seq2Seq Adversarial Autoencoders, project for CSYE7245 Northeastern University, [[paper]](https://arxiv.org/pdf/1804.04003)

- Style Transfer Through Back-Translation, ACL-2018, [[paper]](https://arxiv.org/pdf/1804.09000), [[code]](https://github.com/shrimai/Style-Transfer-Through-Back-Translation)

- Unpaired Sentiment-to-Sentiment Translation: A Cycled Reinforcement Learning Approach, ACL-2018, [[paper]](https://arxiv.org/pdf/1805.05181), [[code]](https://github.com/lancopku/unpaired-sentiment-translation)

- Fighting Offensive Language on Social Media with Unsupervised Text Style Transfer, ACL-2018, [[paper]](https://arxiv.org/pdf/1805.07685)

- Unsupervised Text Style Transfer using Language Models as Discriminators, NIPS-2018, [[paper]](https://arxiv.org/pdf/1805.11749)

- Disentangled Representation Learning for Non-Parallel Text Style Transfer, ACL-2019, [[paper]](https://arxiv.org/pdf/1808.04339), [[code]](https://github.com/vineetjohn/linguistic-style-transfer)

- Language Style Transfer from Sentences with Arbitrary Unknown Styles, Arxiv, [[paper]](https://arxiv.org/pdf/1808.04071)

- Style Transfer as Unsupervised Machine Translation, Arxiv, [[paper]](https://arxiv.org/pdf/1808.07894)

- Learning Sentiment Memories for Sentiment Modification without Parallel Data, EMNLP-2018, [[paper]](https://arxiv.org/pdf/1808.07311), [[code]](https://github.com/lancopku/SMAE)

- Style Transfer Through Multilingual and Feedback-Based Back-Translation, Arxiv, 2018, [[paper]](https://arxiv.org/pdf/1809.06284)

- Structured Content Preservation for Unsupervised Text Style Transfer, OpenReview, 2018, [[paper]](https://openreview.net/forum?id=S1lCbhAqKX)

- Unsupervised Controllable Text Formalization, AAAI, 2019, [[paper]](https://arxiv.org/pdf/1809.04556), [[code]](https://github.com/parajain/uctf)

- Large-scale Hierarchical Alignment for Data-driven Text Rewriting, RANLP, 2019, [[paper]](https://arxiv.org/pdf/1810.08237)

- Learning Criteria and Evaluation Metrics for Textual Transfer between Non-Parallel Corpora, Arxiv, 2018, [[paper]](https://arxiv.org/pdf/1810.11878)

- Content preserving text generation with attribute controls, NIPS, 2018, [[paper]](https://arxiv.org/pdf/1811.01135)

- QuaSE: Sequence Editing under Quantifiable Guidance, EMNLP, 2018, [[paper]](http://aclweb.org/anthology/D18-1420)

- Adversarial Text Generation via Feature-Mover's Distance, NeurIPS, 2018, [[paper]](https://arxiv.org/pdf/1809.06297), [[unofficial code]](https://github.com/knok/chainer-fm-gan)

- Towards Controlled Transformation of Sentiment in Sentences, ICAART, 2019, [[paper]](https://arxiv.org/pdf/1901.11467)

- Formality Style Transfer with Hybrid Textual Annotations, Arxiv, 2019, [[paper]](https://arxiv.org/pdf/1903.06353)

- Reinforcement Learning Based Text Style Transfer without Parallel Training Corpus, NAACL-2019, 2019, [[paper]](https://arxiv.org/pdf/1903.10671)

- Grammatical Error Correction and Style Transfer via Zero-shot Monolingual Translation, Arxiv, 2019, [[paper]](https://arxiv.org/pdf/1903.11283)

- Multiple-Attribute Text Style Transfer (Rewriting), ICLR, 2019, [[paper]](https://openreview.net/forum?id=H1g2NhC5KQ)

- Style Transformer: Unpaired Text Style Transfer without Disentangled Latent Representation, ACL, 2019, [[paper]](https://arxiv.org/pdf/1905.05621)

- A Dual Reinforcement Learning Framework for Unsupervised Text Style Transfer, IJCAI, 2019, [[paper]](https://arxiv.org/pdf/1905.10060), [[code]](https://github.com/luofuli/DualLanST)

- On Variational Learning of Controllable Representations for Text without Supervision, ICML, 2020, [[paper]](http://proceedings.mlr.press/v119/xu20a/xu20a.pdf)

- Revision in Continuous Space: Fine-Grained Control of Text Style Transfer, AAAI, 2020, [[paper]](https://arxiv.org/pdf/1905.12304)

- Controllable Unsupervised Text Attribute Transfer via Editing Entangled Latent Representation, NIPS, 2019, [[paper]](https://arxiv.org/pdf/1905.12926), [[code]](https://github.com/nrgeup/controllable-text-attribute-transfer)

- Disentangled Representation Learning for Non-Parallel Text Style Transfer, ACL, 2019, [[paper]](https://www.aclweb.org/anthology/P19-1041), [[code]](https://github.com/vineetjohn/linguistic-style-transfer)

- A Hierarchical Reinforced Sequence Operation Method for Unsupervised Text Style Transfer, ACL, 2019, [[paper]](https://www.aclweb.org/anthology/P19-1482), [[code]](https://github.com/ChenWu98/Point-Then-Operate)

- Unsupervised Text Attribute Transfer via Iterative Matching and Translation, EMNLP, 2019, [[paper]](https://arxiv.org/pdf/1901.11333)

- Mask and Infill: Applying Masked Language Model to Sentiment Transfer, IJCAI, 2019, [[paper]](https://arxiv.org/pdf/1908.08039)

- Transforming Delete, Retrieve, Generate Approach for Controlled Text Style Transfer, EMNLP, 2019, [[paper]](https://arxiv.org/pdf/1908.09368), [[code]](https://github.com/agaralabs/transformer-drg-style-transfer)

- Domain Adaptive Text Style Transfer, EMNLP, 2019, [[paper]](https://arxiv.org/pdf/1908.09395), [[code]](https://github.com/cookielee77/DAST)

- Style Transfer for Texts: Retrain, Report Errors, Compare with Rewrites, EMNLP, 2019, [[paper]](https://arxiv.org/pdf/1908.06809.pdf), [[code]](https://github.com/VAShibaev/text_style_transfer)

- Decomposing Textual Information For Style Transfer, WNGT, 2019, [[paper]](https://arxiv.org/pdf/1909.12928)

- Zero-Shot Fine-Grained Style Transfer: Leveraging Distributed Continuous Style Representations to Transfer To Unseen Styles, Arxiv, 2019, [[paper]](https://arxiv.org/pdf/1911.03914)

- A Probabilistic Formulation of Unsupervised Text Style Transfer, ICLR, 2020, [[paper]](https://openreview.net/forum?id=HJlA0C4tPS), [[code]](https://github.com/cindyxinyiwang/deep-latent-sequence-model)

- Generating sentences from disentangled syntactic and semantic spaces, ACL, 2019, [[paper]](https://www.aclweb.org/anthology/P19-1602/), [[code]](https://github.com/baoy-nlp/DSS-VAE)

- SentiInc: Incorporating Sentiment Information into Sentiment Transfer Without Parallel Data, ECIR, 2020, [[paper]](https://link.springer.com/content/pdf/10.1007%2F978-3-030-45442-5_39.pdf)

- Expertise Style Transfer: A New Task Towards Better Communication between Experts and Laymen, ACL, 2020, [[paper]](https://arxiv.org/pdf/2005.00701.pdf)

- Contextual Text Style Transfer, Arxiv, 2020, [[paper]](https://arxiv.org/pdf/2005.00136.pdf)

- Exploring Contextual Word-level Style Relevance for Unsupervised Style Transfer, ACL, 2020, [[paper]](https://arxiv.org/pdf/2005.02049.pdf)

- ST$^2$: Small-data Text Style Transfer via Multi-task Meta-Learning, Arxiv, 2020, [[paper]](https://arxiv.org/pdf/2004.11742)

- Reinforced Rewards Framework for Text Style Transfer, ECIR, 2020, [[paper]](https://arxiv.org/pdf/2005.05256)

- Challenges in Emotion Style Transfer: An Exploration with a Lexical Substitution Pipeline, SocialNLP, ACL, 2020, [[paper]](https://arxiv.org/pdf/2005.07617.pdf)

- Stable Style Transformer: Delete and Generate Approach with Encoder-Decoder for Text Style Transfer, Arxiv, 2020, [[paper]](https://arxiv.org/pdf/2005.12086.pdf)

- Unsupervised Automatic Text Style Transfer Using LSTM, NLPCC, 2017, [[paper]](http://tcci.ccf.org.cn/conference/2017/papers/1135.pdf)

- Text Style Transfer via Learning Style Instance Supported Latent Space, IJCAI, 2020, [[paper]](https://www.ijcai.org/Proceedings/2020/0526.pdf)

- Learning to Generate Multiple Style Transfer Outputs for an Input Sentence, Arxiv, 2020, [[paper]](https://arxiv.org/pdf/2002.06525)

- Pre-train and Plug-in: Flexible Conditional Text Generation with Variational Auto-Encoders, ACL, 2020, [[paper]](https://arxiv.org/pdf/1911.03882.pdf)

- Unsupervised Text Style Transfer with Padded Masked Language Models, EMNLP, 2020, [[paper]](https://arxiv.org/pdf/2010.01054.pdf)

- Reformulating Unsupervised Style Transfer as Paraphrase Generation, EMNLP 2020, [[paper]](https://arxiv.org/pdf/2010.05700.pdf)

- Plug and Play Autoencoders for Conditional Text Generation, EMNLP 2020 [[paper]](https://arxiv.org/pdf/2010.02983.pdf)

- DGST: a Dual-Generator Network for Text Style Transfer, EMNLP 2020, [[paper]](https://arxiv.org/pdf/2010.14557.pdf)

- How Positive Are You: Text Style Transfer Using Adaptive Style Embedding, EMNLP 2020, [[paper]](https://www.aclweb.org/anthology/2020.coling-main.191.pdf)

- Unsupervised Text Generation by Learning from Search, NeurIPS 2020, [[paper]](https://papers.nips.cc/paper/2020/file/7a677bb4477ae2dd371add568dd19e23-Paper.pdf)

- Cycle-Consistent Adversarial Autoencoders for Unsupervised Text Style Transfer, COLING 2020, [[paper]](https://arxiv.org/pdf/2010.00735.pdf)

- TextSETTR: Label-Free Text Style Extraction and Tunable Targeted Restyling, Arxiv, 2020, [[paper]](https://arxiv.org/pdf/2010.03802.pdf)

- Non-parallel text style transfer with domain adaptation and an attention model, Applied Intelligence, 2021, [[paper]](https://link.springer.com/article/10.1007/s10489-020-02077-5), [[code]](https://github.com/mingxuan007/text-style-transfer-with-adversarial-network-and-domain-adaptation)

- Exploring Non-Autoregressive Text Style Transfer, EMNLP, 2021, [[paper]](https://aclanthology.org/2021.emnlp-main.730.pdf)

- Generic resources are what you need: Style transfer tasks without task-specific parallel training data, EMNLP, 2021, [[paper]](https://arxiv.org/pdf/2109.04543.pdf)

- Style Pooling: Automatic Text Style Obfuscation for Improved Classification Fairness, EMNLP, 2021, [[paper]](https://aclanthology.org/2021.emnlp-main.152.pdf)

- Transductive Learning for Unsupervised Text Style Transfer, EMNLP, 2021, [[paper]](https://arxiv.org/pdf/2109.07812.pdf)

- Collaborative Learning of Bidirectional Decoders for Unsupervised Text Style Transfer, EMNLP, 2021, [[paper]](https://aclanthology.org/2021.emnlp-main.729.pdf)

- On Learning Text Style Transfer with Direct Rewards, NAACL, 2021, [[paper]](https://arxiv.org/pdf/2010.12771.pdf)

- STYLEPTB: A Compositional Benchmark for Fine-grained Controllable Text Style Transfer, NAACL, 2021, [[paper]](https://arxiv.org/pdf/2104.05196.pdf),[[code]](https://github.com/lvyiwei1/StylePTB/)

- Multi-Style Transfer with Discriminative Feedback on Disjoint Corpus, NAACL, 2021, [[paper]](https://arxiv.org/pdf/2010.11578.pdf)

- Civil Rephrases Of Toxic Texts With Self-Supervised Transformers, EACL, 2021, [[paper]](https://arxiv.org/pdf/2102.05456.pdf), [[code]](https://github.com/LeoLaugier/conditional-auto-encoder-text-to-text-transfer-transformer)

- Efficient Reinforcement Learning for Unsupervised Controlled Text Generation, Arxiv, 2022, [[paper]](https://arxiv.org/pdf/2204.07696.pdf)

- So Different Yet So Alike! Constrained Unsupervised Text Style Transfer, ACL, 2022, [[paper]](https://aclanthology.org/2022.acl-long.32.pdf), [[code]](https://github.com/abhinavkashyap/dct)

## Semi-supervised

- Semi-supervised Text Style Transfer: Cross Projection in Latent Space, EMNLP, 2019, [[paper]](https://arxiv.org/pdf/1909.11493)

- Parallel Data Augmentation for Formality Style Transfer, ACL, 2020, [[paper]](https://arxiv.org/pdf/2005.07522.pdf)

- Semi-Supervised Formality Style Transfer with Consistency Training, ACL, 2022, [[paper]](https://aclanthology.org/2022.acl-long.321.pdf), [[code]]([https://www.github](https://github.com/Aolius/semi-fst))

## Evaluation and Analysis

- Evaluating Style Transfer for Text, NAACL, 2019, [[paper1]](https://arxiv.org/pdf/1904.02295), [[paper2]](https://dspace.mit.edu/bitstream/handle/1721.1/119569/1076275047-MIT.pdf?sequence=1)

- Rethinking Text Attribute Transfer: A Lexical Analysis, INLG, 2019, [[paper]](https://arxiv.org/pdf/1909.12335), [[code]](https://github.com/FranxYao/pivot_analysis)

- Unsupervised Evaluation Metrics and Learning Criteria for Non-Parallel Textual Transfer, EMNLP Workshop on Neural Generation and Translation (WNGT), 2019, [[paper]](https://arxiv.org/pdf/1810.11878)

- The Daunting Task of Real-World Textual Style Transfer Auto-Evaluation, WNGT, 2019, [[paper]](https://arxiv.org/pdf/1910.03747)

- Style-transfer and Paraphrase: Looking for a Sensible Semantic Similarity Metric, Arxiv, 2020, [[paper]](https://arxiv.org/pdf/2004.05001.pdf)

- What is wrong with style transfer for texts? Arxiv, [[paper]](https://arxiv.org/pdf/1808.04365)

- Style versus Content: A distinction without a (learnable) difference?, COLING 2020,	[[paper]](https://www.aclweb.org/anthology/2020.coling-main.197.pdf)

- Rethinking Sentiment Style Transfer, EMNLP 2021, [[paper]](https://aclanthology.org/2021.findings-emnlp.135.pdf)

- Evaluating the Evaluation Metrics for Style Transfer: A Case Study in Multilingual Formality Transfer, EMNLP 2021, [[paper]](https://aclanthology.org/2021.emnlp-main.100.pdf)

- Does It Capture STEL? A Modular, Similarity-based Linguistic Style Evaluation Framework, EMNLP 2021, [[paper]](https://aclanthology.org/2021.emnlp-main.569.pdf)

## Stylistic Related Papers

- Controlling Politeness in Neural Machine Translation via Side Constraints, NAACL 2016, [[paper]](https://www.aclweb.org/anthology/N16-1005.pdf)

- A Study of Style in Machine Translation: Controlling the Formality of Machine Translation Output, EMNLP 2017, [[paper]](https://www.aclweb.org/anthology/D17-1299.pdf)

- Controlling Linguistic Style Aspects in Neural Language Generation, EMNLP-2017 Workshop, [[paper]](https://arxiv.org/pdf/1707.02633)

- Is writing style predictive of scientific fraud?, EMNLP-2017 Workshop, [[paper]](http://www.aclweb.org/anthology/W17-4905)

- Incorporating Pseudo-Parallel Data for Quantifiable Sequence Editing, EMNLP-2018, [[paper]](https://arxiv.org/pdf/1804.07007)

- Polite Dialogue Generation Without Parallel Data, TACL, [[paper]](https://arxiv.org/pdf/1805.03162)

- Adversarial Decomposition of Text Representation, Arxiv, [[paper]](https://arxiv.org/pdf/1808.09042)

- Unsupervised Stylish Image Description Generation via Domain Layer Norm, AAAI 2019, [[paper]](https://arxiv.org/pdf/1809.06214)

- Transfer Learning for Style-Specific Text Generation, UNK, 2018, [[paper]](https://nips2018creativity.github.io/doc/Transfer%20Learning%20for%20Style-Specific%20Text%20Generation.pdf)

- Generating lyrics with variational autoencoder and multi-modal artist embeddings, Arxiv, 2018, [[paper]](https://arxiv.org/pdf/1812.08318)

- Generating Sentences by Editing Prototypes, TACL, 2018, [[paper]](https://www.aclweb.org/anthology/Q18-1031/)

- ALTER: Auxiliary Text Rewriting Tool for Natural Language Generation, EMNLP, 2019, [[paper]](https://arxiv.org/pdf/1909.06564)

- Stylized Text Generation Using Wasserstein Autoencoders with a Mixture of Gaussian Prior, Arxiv, 2019, [[paper]](https://arxiv.org/pdf/1911.03828)

- Adapting Language Models for Non-Parallel Author-Stylized Rewriting, AAAI, 2020 [[paper]](https://arxiv.org/pdf/1909.09962)

- Structuring Latent Spaces for Stylized Response Generation, EMNLP, 2019, [[paper]](https://arxiv.org/pdf/1909.05361)

- Complementary Auxiliary Classifiers for Label-Conditional Text Generation, AAAI, 2020, [[paper]](http://people.ee.duke.edu/~lcarin/AAAI_LiY_6828.pdf), [[code]](https://github.com/s1155026040/CARA)

- Hooks in the Headline: Learning to Generate Headlines with Controlled Styles, ACL, 2020, [[paper]](https://arxiv.org/pdf/2004.01980.pdf)

- Exploring Contextual Word-level Style Relevance for Unsupervised Style Transfer, ACL, 2020, [[paper]](https://arxiv.org/pdf/2005.02049.pdf)

- Parallel Data Augmentation for Formality Style Transfer, ACL, 2020, [[paper]](https://arxiv.org/pdf/2005.07522.pdf)

- Politeness Transfer: A Tag and Generate Approach, ACL, 2020, [[paper]](https://arxiv.org/pdf/2004.14257.pdf)

- Towards A Friendly Online Community: An Unsupervised Style Transfer Framework for Profanity Redaction, COLING 2020, [[paper]](https://arxiv.org/pdf/2011.00403.pdf)

- Generating similes effortlessly like a Pro: A Style Transfer Approach for Simile Generation, EMNLP 2020, [[paper]](https://arxiv.org/pdf/2009.08942.pdf)

- PowerTransformer: Unsupervised Controllable Revision for Biased Language Correction, EMNLP 2020, [[paper]](https://www.aclweb.org/anthology/2020.emnlp-main.602.pdf)

- Does BERT Learn as Humans Perceive? Understanding Linguistic Styles through Lexica, EMNLP 2021, [[paper]](https://aclanthology.org/2021.emnlp-main.510.pdf)

## Controlled Text Generation (Similar, but not exactly style transfer)

- Toward Controlled Generation of Text, ICML 2017. [[paper]](https://arxiv.org/pdf/1703.00955.pdf) 

- CTRL: A Conditional Transformer Language Model for Controllable Generation, arXiv 2019. [[paper]](https://arxiv.org/pdf/1909.05858.pdf)

- Defending Against Neural Fake News, NeurIPS 2019. (about conditional generation of neural fake news) [[paper]](https://arxiv.org/pdf/1905.12616.pdf)

- Plug and Play Language Models: A Simple Approach to Controlled Text Generation, ICLR 2020. [[paper]](https://openreview.net/pdf?id=H1edEyBKDS)

- COCON: A Self-Supervised Approach for Controlled Text Generation, ICLR 2021. [[paper]](https://openreview.net/pdf?id=VD_ozqvBy4W)

- MISS: An Assistant for Multi-Style Simultaneous Translation, EMNLP, 2021. [[paper]](https://aclanthology.org/2021.emnlp-demo.1.pdf)

# Unsupervised Seq2Seq

- Unsupervised neural machine translation, 2017. [[paper]](https://arxiv.org/pdf/1710.11041.pdf)

# Workshop and Tutorial

- Stylistic Variation, EMNLP-2017, [[link]](https://sites.google.com/site/workshoponstylisticvariation/)

- Stylistic Variation, NAACL-HLT-2018, [[link]](https://sites.google.com/view/2ndstylisticvariation/home)

- Stylized Text Generation, ACL-2020, [[link]](https://sites.google.com/view/2020-stylized-text-generation/tutorial) [[video-part1]](https://vimeo.com/436479481) [[video-part2]](https://www.youtube.com/watch?v=qSbqVjM-Vik)

# Copyright 

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

**Welcome to open an issue or make a pull request!**