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# Who cites «Delete, Retrieve, Generate: A Simple Approach to Sentiment and Style Transfer» · page 2

305 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/li-2018-delete-retrieve-generate-simple-approach/)

Pages: [1](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/li-2018-delete-retrieve-generate-simple-approach/) · **2** · [3](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/li-2018-delete-retrieve-generate-simple-approach-3/) · [4](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/li-2018-delete-retrieve-generate-simple-approach-4/)

1. [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)*
2. [Non-Parallel Text Style Transfer with Self-Parallel Supervision](https://arxiv.org/abs/2204.08123) *— 2022 · arXiv:2204.08123*
3. [On Text Style Transfer via Style Masked Language Models](https://arxiv.org/abs/2210.06394) *— 2022 · arXiv:2210.06394*
4. [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)*
5. [Paraphrase Generation as Unsupervised Machine Translation](https://aclanthology.org/2022.coling-1.555/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
6. [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*
7. [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*
8. [Replacing Language Model for Style Transfer](https://arxiv.org/abs/2211.07343) *— 2022 · arXiv:2211.07343*
9. [SimpleStyle: An Adaptable Style Transfer Approach](https://arxiv.org/abs/2212.10498) *— 2022 · arXiv:2212.10498*
10. [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)*
11. [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*
12. [Stylized Knowledge-Grounded Dialogue Generation via Disentangled Template Rewriting](https://aclanthology.org/2022.naacl-main.241/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
13. [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*
14. [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*
15. [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*
16. [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*
17. [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*
18. [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*
19. [What Makes Good In-Context Examples for GPT-3?](https://aclanthology.org/2022.deelio-1.10/) *— 2022 · Proceedings of Deep Learning Inside Out (DeeLIO 2022): The 3rd Workshop on Knowledge Extraction and Integration for Deep Learning Architectures*
20. [``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*
21. [A Novel Estimator of Mutual Information for Learning to Disentangle Textual Representations](https://aclanthology.org/2021.acl-long.511/) *— 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)*
22. [A Recipe For Arbitrary Text Style Transfer with Large Language Models](https://arxiv.org/abs/2109.03910) *— 2021 · arXiv:2109.03910*
23. [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*
24. [Automatic Document Sketching: Generating Drafts from Analogous Texts](https://aclanthology.org/2021.findings-acl.185/) *— 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021*
25. [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*
26. [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*
27. [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*
28. [Contrastive Representation Learning for Exemplar-Guided Paraphrase Generation](https://aclanthology.org/2021.findings-emnlp.409/) *— 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021*
29. [DExperts: Decoding-Time Controlled Text Generation with Experts and Anti-Experts](https://aclanthology.org/2021.acl-long.522/) *— 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)*
30. [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*
31. [ENTRUST: Argument Reframing with Language Models and Entailment](https://aclanthology.org/2021.naacl-main.394/) *— 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
32. [Empirical Evaluation of Supervision Signals for Style Transfer Models](https://arxiv.org/abs/2101.06172) *— 2021 · arXiv:2101.06172*
33. [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)*
34. [Explaining NLP Models via Minimal Contrastive Editing (MiCE)](https://aclanthology.org/2021.findings-acl.336/) *— 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021*
35. [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*
36. [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*
37. [Idiomatic Expression Paraphrasing without Strong Supervision](https://arxiv.org/abs/2112.08592) *— 2021 · arXiv:2112.08592*
38. [Improving Automated Evaluation of Open Domain Dialog via Diverse Reference Augmentation](https://aclanthology.org/2021.findings-acl.357/) *— 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021*
39. [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)*
40. [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*
41. [Methods for Detoxification of Texts for the Russian Language](https://arxiv.org/abs/2105.09052) *— 2021 · arXiv:2105.09052*
42. [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*
43. [Modulating Language Models with Emotions](https://aclanthology.org/2021.findings-acl.379/) *— 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021*
44. [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*
45. [Multi-Pair Text Style Transfer on Unbalanced Data](https://arxiv.org/abs/2106.10608) *— 2021 · arXiv:2106.10608*
46. [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*
47. [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*
48. [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)*
49. [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*
50. [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*
51. [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)*
52. [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*
53. [Re-embedding Difficult Samples via Mutual Information Constrained Semantically Oversampling for Imbalanced Text Classification](https://aclanthology.org/2021.emnlp-main.252/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
54. [Rethinking Sentiment Style Transfer](https://aclanthology.org/2021.findings-emnlp.135/) *— 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021*
55. [Self-Supervised Knowledge Assimilation for Expert-Layman Text Style Transfer](https://arxiv.org/abs/2110.02950) *— 2021 · arXiv:2110.02950*
56. [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*
57. [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)*
58. [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*
59. [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)*
60. [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)*
61. [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*
62. [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*
63. [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*
64. [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)*
65. [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)*
66. [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*
67. [XFORMAL: A Benchmark for Multilingual Formality Style Transfer](https://arxiv.org/abs/2104.04108) *— 2021 · arXiv:2104.04108*
68. [``Nice Try, Kiddo'''': Investigating Ad Hominems in Dialogue Responses](https://aclanthology.org/2021.naacl-main.60/) *— 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
69. [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*
70. [A Probabilistic Formulation of Unsupervised Text Style Transfer](https://arxiv.org/abs/2002.03912) *— 2020 · arXiv:2002.03912*
71. [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*
72. [Attention Transfer Network for Aspect-level Sentiment Classification](https://aclanthology.org/2020.coling-main.70/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
73. [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*
74. [CommonGen: A Constrained Text Generation Challenge for Generative Commonsense Reasoning](https://aclanthology.org/2020.findings-emnlp.165/) *— 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020*
75. [Contextual Text Style Transfer](https://aclanthology.org/2020.findings-emnlp.263/) *— 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020*
76. [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*
77. [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*
78. [DGST: a Dual-Generator Network for Text Style Transfer](https://aclanthology.org/2020.emnlp-main.578/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
79. [Decode with Template: Content Preserving Sentiment Transfer](https://aclanthology.org/2020.lrec-1.575/) *— 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference*
80. [Evaluating Compositionality of Sentence Representation Models](https://aclanthology.org/2020.repl4nlp-1.22/) *— 2020 · Proceedings of the 5th Workshop on Representation Learning for NLP*
81. [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*
82. [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)*
83. [Formality Style Transfer with Shared Latent Space](https://aclanthology.org/2020.coling-main.203/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
84. [From Disjoint Sets to Parallel Data to Train Seq2Seq Models for Sentiment Transfer](https://aclanthology.org/2020.findings-emnlp.61/) *— 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020*
85. [Generating similes effortlessly like a Pro: A Style Transfer Approach for Simile Generation](https://aclanthology.org/2020.emnlp-main.524/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
86. [How Positive Are You: Text Style Transfer using Adaptive Style Embedding](https://aclanthology.org/2020.coling-main.191/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
87. [Improving Adversarial Text Generation by Modeling the Distant Future](https://aclanthology.org/2020.acl-main.227/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
88. [Incorporating Politeness across Languages in Customer Care Responses: Towards building a Multi-lingual Empathetic Dialogue Agent](https://aclanthology.org/2020.lrec-1.514/) *— 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference*
89. [Investigating Societal Biases in a Poetry Composition System](https://aclanthology.org/2020.gebnlp-1.9/) *— 2020 · Proceedings of the Second Workshop on Gender Bias in Natural Language Processing*
90. [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*
91. [Iterative Edit-Based Unsupervised Sentence Simplification](https://aclanthology.org/2020.acl-main.707/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
92. [Learning to Generate Multiple Style Transfer Outputs for an Input Sentence](https://aclanthology.org/2020.ngt-1.2/) *— 2020 · Proceedings of the Fourth Workshop on Neural Generation and Translation*
93. [Learning to Update Natural Language Comments Based on Code Changes](https://aclanthology.org/2020.acl-main.168/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
94. [Lost in Back-Translation: Emotion Preservation in Neural Machine Translation](https://aclanthology.org/2020.coling-main.384/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
95. [PGST: a Polyglot Gender Style Transfer method](https://arxiv.org/abs/2009.01040) *— 2020 · arXiv:2009.01040*
96. [Plug and Play Autoencoders for Conditional Text Generation](https://aclanthology.org/2020.emnlp-main.491/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
97. [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*
98. [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)*
99. [R\textasciicircum3: Reverse, Retrieve, and Rank for Sarcasm Generation with Commonsense Knowledge](https://aclanthology.org/2020.acl-main.711/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
100. [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)*

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