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# Who cites «Style Transfer from Non-Parallel Text by Cross-Alignment» · page 2

385 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. [← the card](https://md.mova.elamur.ai/free/en/docs/papers/shen-2017-style-transfer-non-parallel-text/)

Pages: [1](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/shen-2017-style-transfer-non-parallel-text/) · **2** · [3](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/shen-2017-style-transfer-non-parallel-text-3/) · [4](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/shen-2017-style-transfer-non-parallel-text-4/)

1. [Let the CAT out of the bag: Contrastive Attributed explanations for Text](https://aclanthology.org/2022.emnlp-main.484/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
2. [Low Resource Style Transfer via Domain Adaptive Meta Learning](https://aclanthology.org/2022.naacl-main.220/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
3. [MReD: A Meta-Review Dataset for Structure-Controllable Text Generation](https://aclanthology.org/2022.findings-acl.198/) *— 2022 · Findings of the Association for Computational Linguistics: ACL 2022*
4. [Meet Your Favorite Character: Open-domain Chatbot Mimicking Fictional Characters with only a Few Utterances](https://aclanthology.org/2022.naacl-main.377/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
5. [Metric-guided Distillation: Distilling Knowledge from the Metric to Ranker and Retriever for Generative Commonsense Reasoning](https://aclanthology.org/2022.emnlp-main.53/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
6. [Mix and Match: Learning-free Controllable Text Generationusing Energy Language Models](https://aclanthology.org/2022.acl-long.31/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
7. [NEWTS: A Corpus for News Topic-Focused Summarization](https://aclanthology.org/2022.findings-acl.42/) *— 2022 · Findings of the Association for Computational Linguistics: ACL 2022*
8. [Non-Parallel Text Style Transfer with Self-Parallel Supervision](https://arxiv.org/abs/2204.08123) *— 2022 · arXiv:2204.08123*
9. [On Text Style Transfer via Style Masked Language Models](https://arxiv.org/abs/2210.06394) *— 2022 · arXiv:2210.06394*
10. [ParaDetox: Detoxification with Parallel Data](https://aclanthology.org/2022.acl-long.469/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
11. [Paraphrase Generation as Unsupervised Machine Translation](https://aclanthology.org/2022.coling-1.555/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
12. [Prompt-and-Rerank: A Method for Zero-Shot and Few-Shot Arbitrary Textual Style Transfer with Small Language Models](https://aclanthology.org/2022.emnlp-main.141/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
13. [RLPrompt: Optimizing Discrete Text Prompts with Reinforcement Learning](https://aclanthology.org/2022.emnlp-main.222/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
14. [Replacing Language Model for Style Transfer](https://arxiv.org/abs/2211.07343) *— 2022 · arXiv:2211.07343*
15. [SimpleStyle: An Adaptable Style Transfer Approach](https://arxiv.org/abs/2212.10498) *— 2022 · arXiv:2212.10498*
16. [Style Transfer as Data Augmentation: A Case Study on Named Entity Recognition](https://aclanthology.org/2022.emnlp-main.120/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
17. [T-STAR: Truthful Style Transfer using AMR Graph as Intermediate Representation](https://md.mova.elamur.ai/free/en/docs/papers/jangra-2022-t-star-truthful-style-transfer/) *— our card · 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
18. [Tagging Without Rewriting: A Probabilistic Model for Unpaired Sentiment and Style Transfer](https://aclanthology.org/2022.wassa-1.33/) *— 2022 · Proceedings of the 12th Workshop on Computational Approaches to Subjectivity, Sentiment & Social Media Analysis*
19. [Text Revision by On-the-Fly Representation Optimization](https://aclanthology.org/2022.in2writing-1.7/) *— 2022 · Proceedings of the First Workshop on Intelligent and Interactive Writing Assistants (In2Writing 2022)*
20. [Text Style Transfer for Bias Mitigation using Masked Language Modeling](https://aclanthology.org/2022.naacl-srw.21/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Student Research Workshop*
21. [Text Style Transfer via Optimal Transport](https://aclanthology.org/2022.naacl-main.182/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
22. [Text Style Transferring via Adversarial Masking and Styled Filling](https://aclanthology.org/2022.emnlp-main.521/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
23. [Towards Robust and Semantically Organised Latent Representations for Unsupervised Text Style Transfer](https://aclanthology.org/2022.naacl-main.34/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
24. [Towards Unifying the Label Space for Aspect- and Sentence-based Sentiment Analysis](https://aclanthology.org/2022.findings-acl.3/) *— 2022 · Findings of the Association for Computational Linguistics: ACL 2022*
25. [Translate-Train Embracing Translationese Artifacts](https://aclanthology.org/2022.acl-short.40/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
26. [Using Structured Content Plans for Fine-grained Syntactic Control in Pretrained Language Model Generation](https://aclanthology.org/2022.coling-1.514/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
27. [``Slow Service'''' \ensuremath\nrightarrow ``Great Food'''': Enhancing Content Preservation in Unsupervised Text Style Transfer](https://aclanthology.org/2022.inlg-main.3/) *— 2022 · Proceedings of the 15th International Conference on Natural Language Generation*
28. [A Hierarchical VAE for Calibrating Attributes while Generating Text using Normalizing Flow](https://aclanthology.org/2021.acl-long.187/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
29. [A Recipe For Arbitrary Text Style Transfer with Large Language Models](https://arxiv.org/abs/2109.03910) *— 2021 · arXiv:2109.03910*
30. [A Review of Text Style Transfer using Deep Learning](https://arxiv.org/abs/2109.15144) *— 2021 · arXiv:2109.15144 · IEEE Transactions on Artificial Intelligence (TAI), (2021)*
31. [APo-VAE: Text Generation in Hyperbolic Space](https://aclanthology.org/2021.naacl-main.36/) *— 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
32. [Acquiring a Formality-Informed Lexical Resource for Style Analysis](https://md.mova.elamur.ai/free/en/docs/papers/eder-2021-acquiring-formality-informed-lexical-resource/) *— our card · 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume*
33. [AgreeSum: Agreement-Oriented Multi-Document Summarization](https://aclanthology.org/2021.findings-acl.299/) *— 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021*
34. [Auto-encodeurs variationnels : contrecarrer le problème de posterior collapse grâce à la régularisation du décodeur (Variational auto-encoders : prevent posterior collapse via decoder regularization)](https://aclanthology.org/2021.jeptalnrecital-taln.1/) *— 2021 · Actes de la 28e Conférence sur le Traitement Automatique des Langues Naturelles. Volume 1 : conférence principale*
35. [Break-It-Fix-It: Unsupervised Learning for Program Repair](https://arxiv.org/abs/2106.06600) *— 2021 · arXiv:2106.06600*
36. [Civil Rephrases Of Toxic Texts With Self-Supervised Transformers](https://aclanthology.org/2021.eacl-main.124/) *— 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume*
37. [Collaborative Learning of Bidirectional Decoders for Unsupervised Text Style Transfer](https://aclanthology.org/2021.emnlp-main.729/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
38. [Combining Curriculum Learning and Knowledge Distillation for Dialogue Generation](https://aclanthology.org/2021.findings-emnlp.111/) *— 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021*
39. [Compression, Transduction, and Creation: A Unified Framework for Evaluating Natural Language Generation](https://aclanthology.org/2021.emnlp-main.599/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
40. [Contextualizing Variation in Text Style Transfer Datasets](https://aclanthology.org/2021.inlg-1.22/) *— 2021 · Proceedings of the 14th International Conference on Natural Language Generation*
41. [Controllable Neural Dialogue Summarization with Personal Named Entity Planning](https://aclanthology.org/2021.emnlp-main.8/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
42. [Controlled Neural Sentence-Level Reframing of News Articles](https://aclanthology.org/2021.findings-emnlp.228/) *— 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021*
43. [DRAG: Director-Generator Language Modelling Framework for Non-Parallel Author Stylized Rewriting](https://aclanthology.org/2021.eacl-main.73/) *— 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume*
44. [Disentangling Generative Factors in Natural Language with Discrete Variational Autoencoders](https://aclanthology.org/2021.findings-emnlp.301/) *— 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021*
45. [ER-AE: Differentially Private Text Generation for Authorship Anonymization](https://aclanthology.org/2021.naacl-main.314/) *— 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
46. [Empirical Evaluation of Supervision Signals for Style Transfer Models](https://arxiv.org/abs/2101.06172) *— 2021 · arXiv:2101.06172*
47. [Enhancing Content Preservation in Text Style Transfer Using Reverse Attention and Conditional Layer Normalization](https://aclanthology.org/2021.acl-long.8/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
48. [Exploring Non-Autoregressive Text Style Transfer](https://aclanthology.org/2021.emnlp-main.730/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
49. [FlowPrior: Learning Expressive Priors for Latent Variable Sentence Models](https://aclanthology.org/2021.naacl-main.259/) *— 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
50. [GTAE: Graph-Transformer based Auto-Encoders for Linguistic-Constrained Text Style Transfer](https://arxiv.org/abs/2102.00769) *— 2021 · arXiv:2102.00769*
51. [Generating Syntactically Controlled Paraphrases without Using Annotated Parallel Pairs](https://aclanthology.org/2021.eacl-main.88/) *— 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume*
52. [Generic resources are what you need: Style transfer tasks without task-specific parallel training data](https://aclanthology.org/2021.emnlp-main.349/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
53. [Jibes & Delights: A Dataset of Targeted Insults and Compliments to Tackle Online Abuse](https://aclanthology.org/2021.woah-1.14/) *— 2021 · Proceedings of the 5th Workshop on Online Abuse and Harms (WOAH 2021)*
54. [LEWIS: Levenshtein Editing for Unsupervised Text Style Transfer](https://aclanthology.org/2021.findings-acl.344/) *— 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021*
55. [Math Word Problem Generation with Mathematical Consistency and Problem Context Constraints](https://aclanthology.org/2021.emnlp-main.484/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
56. [Methods for Detoxification of Texts for the Russian Language](https://arxiv.org/abs/2105.09052) *— 2021 · arXiv:2105.09052*
57. [Mind the Style of Text! Adversarial and Backdoor Attacks Based on Text Style Transfer](https://aclanthology.org/2021.emnlp-main.374/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
58. [Multi-Pair Text Style Transfer for Unbalanced Data via Task-Adaptive Meta-Learning](https://aclanthology.org/2021.metanlp-1.4/) *— 2021 · Proceedings of the 1st Workshop on Meta Learning and Its Applications to Natural Language Processing*
59. [Multi-Pair Text Style Transfer on Unbalanced Data](https://arxiv.org/abs/2106.10608) *— 2021 · arXiv:2106.10608*
60. [Multi-Style Transfer with Discriminative Feedback on Disjoint Corpus](https://aclanthology.org/2021.naacl-main.275/) *— 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
61. [Multimodal Text Style Transfer for Outdoor Vision-and-Language Navigation](https://aclanthology.org/2021.eacl-main.103/) *— 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume*
62. [NAST: A Non-Autoregressive Generator with Word Alignment for Unsupervised Text Style Transfer](https://aclanthology.org/2021.findings-acl.138/) *— 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021*
63. [Neural Stylistic Response Generation with Disentangled Latent Variables](https://aclanthology.org/2021.acl-long.339/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
64. [Olá, Bonjour, Salve! XFORMAL: A Benchmark for Multilingual Formality Style Transfer](https://aclanthology.org/2021.naacl-main.256/) *— 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
65. [On Learning Text Style Transfer with Direct Rewards](https://aclanthology.org/2021.naacl-main.337/) *— 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
66. [PENS: A Dataset and Generic Framework for Personalized News Headline Generation](https://aclanthology.org/2021.acl-long.7/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
67. [PIE: A Parallel Idiomatic Expression Corpus for Idiomatic Sentence Generation and Paraphrasing](https://aclanthology.org/2021.mwe-1.5/) *— 2021 · Proceedings of the 17th Workshop on Multiword Expressions (MWE 2021)*
68. [Parallel Refinements for Lexically Constrained Text Generation with BART](https://aclanthology.org/2021.emnlp-main.681/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
69. [Rethinking Sentiment Style Transfer](https://aclanthology.org/2021.findings-emnlp.135/) *— 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021*
70. [Retrieve, Discriminate and Rewrite: A Simple and Effective Framework for Obtaining Affective Response in Retrieval-Based Chatbots](https://aclanthology.org/2021.findings-emnlp.168/) *— 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021*
71. [SE-DAE: Style-Enhanced Denoising Auto-Encoder for Unsupervised Text Style Transfer](https://arxiv.org/abs/2104.12977) *— 2021 · arXiv:2104.12977*
72. [Self-Supervised Knowledge Assimilation for Expert-Layman Text Style Transfer](https://arxiv.org/abs/2110.02950) *— 2021 · arXiv:2110.02950*
73. [Sentence Bottleneck Autoencoders from Transformer Language Models](https://aclanthology.org/2021.emnlp-main.137/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
74. [Style Pooling: Automatic Text Style Obfuscation for Improved Classification Fairness](https://aclanthology.org/2021.emnlp-main.152/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
75. [StylePTB: A Compositional Benchmark for Fine-grained Controllable Text Style Transfer](https://aclanthology.org/2021.naacl-main.171/) *— 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
76. [Syntax Matters! Syntax-Controlled in Text Style Transfer](https://aclanthology.org/2021.ranlp-1.64/) *— 2021 · Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2021)*
77. [Text Detoxification using Large Pre-trained Neural Models](https://aclanthology.org/2021.emnlp-main.629/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
78. [Text Style Transfer: Leveraging a Style Classifier on Entangled Latent Representations](https://aclanthology.org/2021.repl4nlp-1.9/) *— 2021 · Proceedings of the 6th Workshop on Representation Learning for NLP (RepL4NLP-2021)*
79. [TextSETTR: Few-Shot Text Style Extraction and Tunable Targeted Restyling](https://aclanthology.org/2021.acl-long.293/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
80. [Thank you BART! Rewarding Pre-Trained Models Improves Formality Style Transfer](https://aclanthology.org/2021.acl-short.62/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 2: Short Papers)*
81. [Time-Aware Ancient Chinese Text Translation and Inference](https://aclanthology.org/2021.lchange-1.1/) *— 2021 · Proceedings of the 2nd International Workshop on Computational Approaches to Historical Language Change 2021*
82. [Towards Understanding and Mitigating Social Biases in Language Models](https://arxiv.org/abs/2106.13219) *— 2021 · arXiv:2106.13219*
83. [Transductive Learning for Unsupervised Text Style Transfer](https://aclanthology.org/2021.emnlp-main.195/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
84. [Transferable Persona-Grounded Dialogues via Grounded Minimal Edits](https://aclanthology.org/2021.emnlp-main.183/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
85. [Unsupervised Text Style Transfer with Content Embeddings](https://aclanthology.org/2021.ranlp-1.27/) *— 2021 · Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2021)*
86. [VAE based Text Style Transfer with Pivot Words Enhancement Learning](https://aclanthology.org/2021.icon-main.20/) *— 2021 · Proceedings of the 18th International Conference on Natural Language Processing (ICON)*
87. [XFORMAL: A Benchmark for Multilingual Formality Style Transfer](https://arxiv.org/abs/2104.04108) *— 2021 · arXiv:2104.04108*
88. [基于风格化嵌入的中文文本风格迁移(Chinese text style transfer based on stylized embedding)](https://aclanthology.org/2021.ccl-1.26/) *— 2021 · Proceedings of the 20th Chinese National Conference on Computational Linguistics*
89. [A Batch Normalized Inference Network Keeps the KL Vanishing Away](https://aclanthology.org/2020.acl-main.235/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
90. [A Probabilistic Formulation of Unsupervised Text Style Transfer](https://arxiv.org/abs/2002.03912) *— 2020 · arXiv:2002.03912*
91. [A little goes a long way: Improving toxic language classification despite data scarcity](https://aclanthology.org/2020.findings-emnlp.269/) *— 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020*
92. [Back to the Future: Unsupervised Backprop-based Decoding for Counterfactual and Abductive Commonsense Reasoning](https://aclanthology.org/2020.emnlp-main.58/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
93. [CAT-Gen: Improving Robustness in NLP Models via Controlled Adversarial Text Generation](https://aclanthology.org/2020.emnlp-main.417/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
94. [Can Humor Prediction Datasets be used for Humor Generation? Humorous Headline Generation via Style Transfer](https://aclanthology.org/2020.figlang-1.25/) *— 2020 · Proceedings of the Second Workshop on Figurative Language Processing*
95. [Can You be More Social? Injecting Politeness and Positivity into Task-Oriented Conversational Agents](https://arxiv.org/abs/2012.14653) *— 2020 · arXiv:2012.14653*
96. [Challenges in Emotion Style Transfer: An Exploration with a Lexical Substitution Pipeline](https://aclanthology.org/2020.socialnlp-1.6/) *— 2020 · Proceedings of the Eighth International Workshop on Natural Language Processing for Social Media*
97. [Contextual Text Style Transfer](https://aclanthology.org/2020.findings-emnlp.263/) *— 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020*
98. [Control, Generate, Augment: A Scalable Framework for Multi-Attribute Text Generation](https://aclanthology.org/2020.findings-emnlp.33/) *— 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020*
99. [Crossing Variational Autoencoders for Answer Retrieval](https://aclanthology.org/2020.acl-main.498/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
100. [Cycle-Consistent Adversarial Autoencoders for Unsupervised Text Style Transfer](https://aclanthology.org/2020.coling-main.201/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics*

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