---
title: "Who cites Delete, Retrieve, Generate: A Simple Approach to…"
description: "The papers of the Elamur Research library that cite «Delete, Retrieve, Generate: A Simple Approach to Sentiment and Style Transfer», found in their…"
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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.research.elamur.ai/free/en/papers/li-2018-delete-retrieve-generate-simple-approach/)

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1. [A Study on Manual and Automatic Evaluation for Text Style Transfer: The Case of Detoxification](https://aclanthology.org/2022.humeval-1.8/) *— 2022 · Proceedings of the 2nd Workshop on Human Evaluation of NLP Systems (HumEval)*
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. [APPDIA: A Discourse-aware Transformer-based Style Transfer Model for Offensive Social Media Conversations](https://aclanthology.org/2022.coling-1.530/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
4. [Audience-Centric Natural Language Generation via Style Infusion](https://aclanthology.org/2022.findings-emnlp.138/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
5. [Conciseness: An Overlooked Language Task](https://aclanthology.org/2022.tsar-1.5/) *— 2022 · Proceedings of the Workshop on Text Simplification, Accessibility, and Readability (TSAR-2022)*
6. [Controllable Dictionary Example Generation: Generating Example Sentences for Specific Targeted Audiences](https://aclanthology.org/2022.acl-long.46/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
7. [Controllable Text Generation for All Ages: Evaluating a Plug-and-Play Approach to Age-Adapted Dialogue](https://aclanthology.org/2022.gem-1.14/) *— 2022 · Proceedings of the Second Workshop on Natural Language Generation, Evaluation, and Metrics (GEM)*
8. [Controlled Text Generation Using Dictionary Prior in Variational Autoencoders](https://aclanthology.org/2022.findings-acl.10/) *— 2022 · Findings of the Association for Computational Linguistics: ACL 2022*
9. [Deep Learning for Text Style Transfer: A Survey](https://aclanthology.org/2022.cl-1.6/) *— 2022 · Computational Linguistics*
10. [Disentangled Learning of Stance and Aspect Topics for Vaccine Attitude Detection in Social Media](https://aclanthology.org/2022.naacl-main.112/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
11. [Diverse Parallel Data Synthesis for Cross-Database Adaptation of Text-to-SQL Parsers](https://aclanthology.org/2022.emnlp-main.794/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
12. [Domain Confused Contrastive Learning for Unsupervised Domain Adaptation](https://aclanthology.org/2022.naacl-main.217/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
13. [Don”t Take It Literally: An Edit-Invariant Sequence Loss for Text Generation](https://aclanthology.org/2022.naacl-main.150/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
14. [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*
15. [Generative Cross-Domain Data Augmentation for Aspect and Opinion Co-Extraction](https://aclanthology.org/2022.naacl-main.312/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
16. [Gradient-guided Unsupervised Text Style Transfer via Contrastive Learning](https://arxiv.org/abs/2202.00469) *— 2022 · arXiv:2202.00469*
17. [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)*
18. [Incorporating Subjectivity into Gendered Ambiguous Pronoun (GAP) Resolution using Style Transfer](https://aclanthology.org/2022.gebnlp-1.28/) *— 2022 · Proceedings of the 4th Workshop on Gender Bias in Natural Language Processing (GeBNLP)*
19. [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)*
20. [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*
21. [Less is More: Learning to Refine Dialogue History for Personalized Dialogue Generation](https://aclanthology.org/2022.naacl-main.426/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
22. [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*
23. [Low-Resource Authorship Style Transfer: Can Non-Famous Authors Be Imitated?](https://md.research.elamur.ai/free/en/papers/patel-2022-low-resource-authorship-style-transfer/) *— our card · 2022 · arXiv:2212.08986*
24. [MOVER: Mask, Over-generate and Rank for Hyperbole Generation](https://aclanthology.org/2022.naacl-main.440/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
25. [Mask and Regenerate: A Classifier-based Approach for Unpaired Sentiment Transformation of Reviews for Electronic Commerce Websites.](https://aclanthology.org/2022.socialnlp-1.1/) *— 2022 · Proceedings of the Tenth International Workshop on Natural Language Processing for Social Media*
26. [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*
27. [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)*
28. [Non-Parallel Text Style Transfer with Self-Parallel Supervision](https://arxiv.org/abs/2204.08123) *— 2022 · arXiv:2204.08123*
29. [On Text Style Transfer via Style Masked Language Models](https://arxiv.org/abs/2210.06394) *— 2022 · arXiv:2210.06394*
30. [One-Teacher and Multiple-Student Knowledge Distillation on Sentiment Classification](https://aclanthology.org/2022.coling-1.614/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
31. [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)*
32. [Paraphrase Generation as Unsupervised Machine Translation](https://aclanthology.org/2022.coling-1.555/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
33. [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*
34. [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*
35. [Replacing Language Model for Style Transfer](https://arxiv.org/abs/2211.07343) *— 2022 · arXiv:2211.07343*
36. [SimpleStyle: An Adaptable Style Transfer Approach](https://arxiv.org/abs/2212.10498) *— 2022 · arXiv:2212.10498*
37. [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)*
38. [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*
39. [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*
40. [T-STAR: Truthful Style Transfer using AMR Graph as Intermediate Representation](https://md.research.elamur.ai/free/en/papers/jangra-2022-t-star-truthful-style-transfer/) *— our card · 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
41. [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*
42. [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*
43. [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*
44. [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*
45. [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*
46. [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*
47. [“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*
48. [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)*
49. [A Recipe For Arbitrary Text Style Transfer with Large Language Models](https://arxiv.org/abs/2109.03910) *— 2021 · arXiv:2109.03910*
50. [A Simple Geometric Method for Cross-Lingual Linguistic Transformations with Pre-trained Autoencoders](https://aclanthology.org/2021.emnlp-main.792/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
51. [Acquiring a Formality-Informed Lexical Resource for Style Analysis](https://md.research.elamur.ai/free/en/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*
52. [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*
53. [Challenging the Semi-Supervised VAE Framework for Text Classification](https://aclanthology.org/2021.insights-1.19/) *— 2021 · Proceedings of the Second Workshop on Insights from Negative Results in NLP*
54. [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*
55. [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*
56. [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*
57. [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*
58. [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)*
59. [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*
60. [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*
61. [Empirical Evaluation of Supervision Signals for Style Transfer Models](https://arxiv.org/abs/2101.06172) *— 2021 · arXiv:2101.06172*
62. [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)*
63. [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*
64. [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*
65. [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*
66. [Idiomatic Expression Paraphrasing without Strong Supervision](https://arxiv.org/abs/2112.08592) *— 2021 · arXiv:2112.08592*
67. [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*
68. [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)*
69. [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*
70. [Methods for Detoxification of Texts for the Russian Language](https://arxiv.org/abs/2105.09052) *— 2021 · arXiv:2105.09052*
71. [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*
72. [Modulating Language Models with Emotions](https://aclanthology.org/2021.findings-acl.379/) *— 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021*
73. [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*
74. [Multi-Pair Text Style Transfer on Unbalanced Data](https://arxiv.org/abs/2106.10608) *— 2021 · arXiv:2106.10608*
75. [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*
76. [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*
77. [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)*
78. [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*
79. [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*
80. [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)*
81. [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*
82. [Predicting Antonyms in Context using BERT](https://aclanthology.org/2021.inlg-1.6/) *— 2021 · Proceedings of the 14th International Conference on Natural Language Generation*
83. [Preventing Author Profiling through Zero-Shot Multilingual Back-Translation](https://aclanthology.org/2021.emnlp-main.684/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
84. [Profanity-Avoiding Training Framework for Seq2seq Models with Certified Robustness](https://aclanthology.org/2021.emnlp-main.418/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
85. [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*
86. [Rethinking Sentiment Style Transfer](https://aclanthology.org/2021.findings-emnlp.135/) *— 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021*
87. [Self-Supervised Knowledge Assimilation for Expert-Layman Text Style Transfer](https://arxiv.org/abs/2110.02950) *— 2021 · arXiv:2110.02950*
88. [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*
89. [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)*
90. [Taking Things Personally: Third Person to First Person Rephrasing](https://aclanthology.org/2021.nlp4convai-1.1/) *— 2021 · Proceedings of the 3rd Workshop on Natural Language Processing for Conversational AI*
91. [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*
92. [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)*
93. [Text as Causal Mediators: Research Design for Causal Estimates of Differential Treatment of Social Groups via Language Aspects](https://aclanthology.org/2021.cinlp-1.2/) *— 2021 · Proceedings of the First Workshop on Causal Inference and NLP*
94. [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)*
95. [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*
96. [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*
97. [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*
98. [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)*
99. [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)*
100. [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*

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