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# Who cites «Dear Sir or Madam, May I Introduce the GYAFC Dataset: Corpus, Benchmarks and Metrics for Formality Style Transfer» · page 2

260 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/rao-2018-dear-sir-or-madam-may/)

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1. [A Recipe for Arbitrary Text Style Transfer with Large Language Models](https://aclanthology.org/2022.acl-short.94/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
2. [A large-scale computational study of content preservation measures for text style transfer and paraphrase generation](https://aclanthology.org/2022.acl-srw.23/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop*
3. [BERT in Plutarch's Shadows](https://aclanthology.org/2022.emnlp-main.407/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
4. [BeamR: Beam Reweighing with Attribute Discriminators for Controllable Text Generation](https://aclanthology.org/2022.findings-aacl.40/) *— 2022 · Findings of the Association for Computational Linguistics: AACL-IJCNLP 2022*
5. [CoCoA-MT: A Dataset and Benchmark for Contrastive Controlled MT with Application to Formality](https://aclanthology.org/2022.findings-naacl.47/) *— 2022 · Findings of the Association for Computational Linguistics: NAACL 2022*
6. [CoCoa: An Encoder-Decoder Model for Controllable Code-switched Generation](https://aclanthology.org/2022.emnlp-main.158/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
7. [Construction and Validation of a Japanese Honorific Corpus Based on Systemic Functional Linguistics](https://aclanthology.org/2022.dclrl-1.3/) *— 2022 · Proceedings of the Workshop on Dataset Creation for Lower-Resourced Languages within the 13th Language Resources and Evaluation Conference*
8. [Deep Learning for Text Style Transfer: A Survey](https://aclanthology.org/2022.cl-1.6/) *— 2022 · Computational Linguistics*
9. [Exploiting Social Media Content for Self-Supervised Style Transfer](https://aclanthology.org/2022.socialnlp-1.2/) *— 2022 · Proceedings of the Tenth International Workshop on Natural Language Processing for Social Media*
10. [Exploring Cross-lingual Text Detoxification with Large Multilingual Language Models.](https://aclanthology.org/2022.acl-srw.26/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop*
11. [Exploring Cross-lingual Textual Style Transfer with Large Multilingual Language Models](https://arxiv.org/abs/2206.02252) *— 2022 · arXiv:2206.02252*
12. [He Said, She Said: Style Transfer for Shifting the Perspective of Dialogues](https://aclanthology.org/2022.findings-emnlp.355/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
13. [Human Judgement as a Compass to Navigate Automatic Metrics for Formality Transfer](https://aclanthology.org/2022.humeval-1.9/) *— 2022 · Proceedings of the 2nd Workshop on Human Evaluation of NLP Systems (HumEval)*
14. [Improving Iterative Text Revision by Learning Where to Edit from Other Revision Tasks](https://aclanthology.org/2022.emnlp-main.678/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
15. [Improving Machine Translation Formality Control with Weakly-Labelled Data Augmentation and Post Editing Strategies](https://aclanthology.org/2022.iwslt-1.32/) *— 2022 · Proceedings of the 19th International Conference on Spoken Language Translation (IWSLT 2022)*
16. [Inducing Positive Perspectives with Text Reframing](https://aclanthology.org/2022.acl-long.257/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
17. [Learning from Bootstrapping and Stepwise Reinforcement Reward: A Semi-Supervised Framework for Text Style Transfer](https://aclanthology.org/2022.findings-naacl.201/) *— 2022 · Findings of the Association for Computational Linguistics: NAACL 2022*
18. [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*
19. [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)*
20. [Multi-Figurative Language Generation](https://aclanthology.org/2022.coling-1.519/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
21. [Multilingual Pre-training with Language and Task Adaptation for Multilingual Text Style Transfer](https://aclanthology.org/2022.acl-short.29/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
22. [Non-Parallel Text Style Transfer with Self-Parallel Supervision](https://arxiv.org/abs/2204.08123) *— 2022 · arXiv:2204.08123*
23. [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)*
24. [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*
25. [Replacing Language Model for Style Transfer](https://arxiv.org/abs/2211.07343) *— 2022 · arXiv:2211.07343*
26. [Rethinking Style Transformer with Energy-based Interpretation: Adversarial Unsupervised Style Transfer using a Pretrained Model](https://aclanthology.org/2022.emnlp-main.366/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
27. [Same Author or Just Same Topic? Towards Content-Independent Style Representations](https://aclanthology.org/2022.repl4nlp-1.26/) *— 2022 · Proceedings of the 7th Workshop on Representation Learning for NLP*
28. [Semi-Supervised Formality Style Transfer with Consistency Training](https://aclanthology.org/2022.acl-long.321/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
29. [SimpleStyle: An Adaptable Style Transfer Approach](https://arxiv.org/abs/2212.10498) *— 2022 · arXiv:2212.10498*
30. [So Different Yet So Alike! Constrained Unsupervised Text Style Transfer](https://aclanthology.org/2022.acl-long.32/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
31. [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*
32. [StyleKQC: A Style-Variant Paraphrase Corpus for Korean Questions and Commands](https://aclanthology.org/2022.lrec-1.771/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
33. [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*
34. [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)*
35. [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*
36. [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*
37. [TextBox 2.0: A Text Generation Library with Pre-trained Language Models](https://aclanthology.org/2022.emnlp-demos.42/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: System Demonstrations*
38. [TyDiP: A Dataset for Politeness Classification in Nine Typologically Diverse Languages](https://aclanthology.org/2022.findings-emnlp.420/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
39. [``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*
40. [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)*
41. [A Recipe For Arbitrary Text Style Transfer with Large Language Models](https://arxiv.org/abs/2109.03910) *— 2021 · arXiv:2109.03910*
42. [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)*
43. [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*
44. [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*
45. [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*
46. [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*
47. [Does It Capture STEL? A Modular, Similarity-based Linguistic Style Evaluation Framework](https://aclanthology.org/2021.emnlp-main.569/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
48. [Edit Distance Based Curriculum Learning for Paraphrase Generation](https://aclanthology.org/2021.acl-srw.24/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing: Student Research Workshop*
49. [Empirical Evaluation of Supervision Signals for Style Transfer Models](https://arxiv.org/abs/2101.06172) *— 2021 · arXiv:2101.06172*
50. [Evaluating the Evaluation Metrics for Style Transfer: A Case Study in Multilingual Formality Transfer](https://md.mova.elamur.ai/free/en/docs/papers/briakou-2021-evaluating-evaluation-metrics-style-transfer/) *— our card · 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
51. [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*
52. [FUDGE: Controlled Text Generation With Future Discriminators](https://aclanthology.org/2021.naacl-main.276/) *— 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
53. [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*
54. [Improving Formality Style Transfer with Context-Aware Rule Injection](https://aclanthology.org/2021.acl-long.124/) *— 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)*
55. [Methods for Detoxification of Texts for the Russian Language](https://arxiv.org/abs/2105.09052) *— 2021 · arXiv:2105.09052*
56. [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*
57. [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*
58. [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*
59. [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*
60. [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*
61. [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)*
62. [SE-DAE: Style-Enhanced Denoising Auto-Encoder for Unsupervised Text Style Transfer](https://arxiv.org/abs/2104.12977) *— 2021 · arXiv:2104.12977*
63. [Self-Supervised Knowledge Assimilation for Expert-Layman Text Style Transfer](https://arxiv.org/abs/2110.02950) *— 2021 · arXiv:2110.02950*
64. [Style is NOT a single variable: Case Studies for Cross-Stylistic Language Understanding](https://aclanthology.org/2021.acl-long.185/) *— 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)*
65. [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*
66. [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)*
67. [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*
68. [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)*
69. [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)*
70. [The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics](https://aclanthology.org/2021.gem-1.10/) *— 2021 · Proceedings of the First Workshop on Natural Language Generation, Evaluation, and Metrics (GEM)*
71. [The Perils of Using Mechanical Turk to Evaluate Open-Ended Text Generation](https://aclanthology.org/2021.emnlp-main.97/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
72. [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*
73. [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*
74. [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*
75. [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)*
76. [WIKIBIAS: Detecting Multi-Span Subjective Biases in Language](https://aclanthology.org/2021.findings-emnlp.155/) *— 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021*
77. [XFORMAL: A Benchmark for Multilingual Formality Style Transfer](https://arxiv.org/abs/2104.04108) *— 2021 · arXiv:2104.04108*
78. [A Probabilistic Formulation of Unsupervised Text Style Transfer](https://arxiv.org/abs/2002.03912) *— 2020 · arXiv:2002.03912*
79. [An Empirical Study on Multi-Task Learning for Text Style Transfer and Paraphrase Generation](https://aclanthology.org/2020.coling-industry.6/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics: Industry Track*
80. [Automated Evaluation of Writing – 50 Years and Counting](https://aclanthology.org/2020.acl-main.697/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
81. [Contextual Text Style Transfer](https://aclanthology.org/2020.findings-emnlp.263/) *— 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020*
82. [Data Boost: Text Data Augmentation Through Reinforcement Learning Guided Conditional Generation](https://aclanthology.org/2020.emnlp-main.726/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
83. [Expertise Style Transfer: A New Task Towards Better Communication between Experts and Laymen](https://aclanthology.org/2020.acl-main.100/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
84. [Exploring Controllable Text Generation Techniques](https://aclanthology.org/2020.coling-main.1/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
85. [Facilitating the Communication of Politeness through Fine-Grained Paraphrasing](https://md.mova.elamur.ai/free/en/docs/papers/fu-2020-facilitating-communication-politeness-through-fine/) *— our card · 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
86. [Formality Style Transfer with Shared Latent Space](https://aclanthology.org/2020.coling-main.203/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
87. [Invisible to People but not to Machines: Evaluation of Style-aware HeadlineGeneration in Absence of Reliable Human Judgment](https://aclanthology.org/2020.lrec-1.828/) *— 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference*
88. [Multi-resolution Annotations for Emoji Prediction](https://aclanthology.org/2020.emnlp-main.542/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
89. [On the interaction of automatic evaluation and task framing in headline style transfer](https://aclanthology.org/2020.evalnlgeval-1.5/) *— 2020 · Proceedings of the 1st Workshop on Evaluating NLG Evaluation*
90. [PGST: a Polyglot Gender Style Transfer method](https://arxiv.org/abs/2009.01040) *— 2020 · arXiv:2009.01040*
91. [Parallel Data Augmentation for Formality Style Transfer](https://aclanthology.org/2020.acl-main.294/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
92. [Politeness Transfer: A Tag and Generate Approach](https://aclanthology.org/2020.acl-main.169/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
93. [PowerTransformer: Unsupervised Controllable Revision for Biased Language Correction](https://aclanthology.org/2020.emnlp-main.602/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
94. [Reformulating Unsupervised Style Transfer as Paraphrase Generation](https://md.mova.elamur.ai/free/en/docs/papers/krishna-2020-reformulating-unsupervised-style-transfer-as/) *— our card · 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
95. [Reinforced Rewards Framework for Text Style Transfer](https://arxiv.org/abs/2005.05256) *— 2020 · arXiv:2005.05256*
96. [ST$^2$: Small-data Text Style Transfer via Multi-task Meta-Learning](https://arxiv.org/abs/2004.11742) *— 2020 · arXiv:2004.11742*
97. [Semi-Supervised Low-Resource Style Transfer of Indonesian Informal to Formal Language with Iterative Forward-Translation](https://arxiv.org/abs/2011.03286) *— 2020 · arXiv:2011.03286*
98. [Story-level Text Style Transfer: A Proposal](https://aclanthology.org/2020.acl-srw.2/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop*
99. [Style-transfer and Paraphrase: Looking for a Sensible Semantic Similarity Metric](https://arxiv.org/abs/2004.05001) *— 2020 · arXiv:2004.05001*
100. [Stylized Text Generation: Approaches and Applications](https://aclanthology.org/2020.acl-tutorials.5/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: Tutorial Abstracts*

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