---
title: "Who cites Reformulating Unsupervised Style Transfer as…"
description: "The papers of the Elamur Research library that cite «Reformulating Unsupervised Style Transfer as Paraphrase Generation», found in their bibliographies."
canonical: "https://research.elamur.ai/free/en/papers/krishna-2020-reformulating-unsupervised-style-transfer-as/cited-by/page/2/"
---
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# Who cites «Reformulating Unsupervised Style Transfer as Paraphrase Generation» · page 2

163 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/krishna-2020-reformulating-unsupervised-style-transfer-as/)

Pages: [1](https://md.research.elamur.ai/free/en/papers/krishna-2020-reformulating-unsupervised-style-transfer-as/cited-by/) · **2**

1. [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*
2. [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*
3. [Exploring Cross-lingual Textual Style Transfer with Large Multilingual Language Models](https://arxiv.org/abs/2206.02252) *— 2022 · arXiv:2206.02252*
4. [Exploring diversity in back translation for low-resource machine translation](https://aclanthology.org/2022.deeplo-1.8/) *— 2022 · Proceedings of the Third Workshop on Deep Learning for Low-Resource Natural Language Processing*
5. [Generative Pretraining for Paraphrase Evaluation](https://aclanthology.org/2022.acl-long.280/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
6. [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*
7. [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)*
8. [Human-Machine Collaboration Approaches to Build a Dialogue Dataset for Hate Speech Countering](https://aclanthology.org/2022.emnlp-main.549/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
9. [HydraSum: Disentangling Style Features in Text Summarization with Multi-Decoder Models](https://aclanthology.org/2022.emnlp-main.30/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
10. [Improving Factual Consistency in Summarization with Compression-Based Post-Editing](https://aclanthology.org/2022.emnlp-main.623/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
11. [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*
12. [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*
13. [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*
14. [Machine-in-the-Loop Rewriting for Creative Image Captioning](https://aclanthology.org/2022.naacl-main.42/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
15. [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*
16. [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)*
17. [Non-Parallel Text Style Transfer with Self-Parallel Supervision](https://arxiv.org/abs/2204.08123) *— 2022 · arXiv:2204.08123*
18. [On The Ingredients of an Effective Zero-shot Semantic Parser](https://aclanthology.org/2022.acl-long.103/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
19. [PEPDS: A Polite and Empathetic Persuasive Dialogue System for Charity Donation](https://aclanthology.org/2022.coling-1.34/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
20. [PINEAPPLE: Personifying INanimate Entities by Acquiring Parallel Personification Data for Learning Enhanced Generation](https://aclanthology.org/2022.coling-1.547/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
21. [ParaZh-22M: A Large-Scale Chinese Parabank via Machine Translation](https://aclanthology.org/2022.coling-1.341/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
22. [Paraphrasing Techniques for Maritime QA system](https://arxiv.org/abs/2203.10854) *— 2022 · arXiv:2203.10854*
23. [Paraphrastic Representations at Scale](https://aclanthology.org/2022.emnlp-demos.38/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: System Demonstrations*
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. [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*
26. [ROSCOE: A Suite of Metrics for Scoring Step-by-Step Reasoning](https://arxiv.org/abs/2212.07919) *— 2022 · arXiv:2212.07919*
27. [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*
28. [SimpleStyle: An Adaptable Style Transfer Approach](https://arxiv.org/abs/2212.10498) *— 2022 · arXiv:2212.10498*
29. [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)*
30. [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*
31. [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*
32. [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*
33. [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*
34. [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*
35. [UCTopic: Unsupervised Contrastive Learning for Phrase Representations and Topic Mining](https://aclanthology.org/2022.acl-long.426/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
36. [VALUE: Understanding Dialect Disparity in NLU](https://md.research.elamur.ai/free/en/papers/ziems-2022-value-understanding-dialect-disparity-nlu/) *— our card · 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
37. [arXivEdits: Understanding the Human Revision Process in Scientific Writing](https://aclanthology.org/2022.emnlp-main.641/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
38. [A Recipe For Arbitrary Text Style Transfer with Large Language Models](https://arxiv.org/abs/2109.03910) *— 2021 · arXiv:2109.03910*
39. [Beyond Grammatical Error Correction: Improving L1-influenced research writing in English using pre-trained encoder-decoder models](https://aclanthology.org/2021.findings-emnlp.216/) *— 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021*
40. [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*
41. [Controlling Machine Translation for Multiple Attributes with Additive Interventions](https://aclanthology.org/2021.emnlp-main.535/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
42. [ConvFiT: Conversational Fine-Tuning of Pretrained Language Models](https://aclanthology.org/2021.emnlp-main.88/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
43. [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*
44. [Don”t Go Far Off: An Empirical Study on Neural Poetry Translation](https://aclanthology.org/2021.emnlp-main.577/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
45. [Evaluating the Evaluation Metrics for Style Transfer: A Case Study in Multilingual Formality Transfer](https://md.research.elamur.ai/free/en/papers/briakou-2021-evaluating-evaluation-metrics-style-transfer/) *— our card · 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
46. [Fundamental Exploration of Evaluation Metrics for Persona Characteristics of Text Utterances](https://aclanthology.org/2021.sigdial-1.19/) *— 2021 · Proceedings of the 22nd Annual Meeting of the Special Interest Group on Discourse and Dialogue*
47. [IGA: An Intent-Guided Authoring Assistant](https://aclanthology.org/2021.emnlp-main.483/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
48. [Idiomatic Expression Paraphrasing without Strong Supervision](https://arxiv.org/abs/2112.08592) *— 2021 · arXiv:2112.08592*
49. [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*
50. [Methods for Detoxification of Texts for the Russian Language](https://arxiv.org/abs/2105.09052) *— 2021 · arXiv:2105.09052*
51. [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*
52. [Mitigating Data Scarceness through Data Synthesis, Augmentation and Curriculum for Abstractive Summarization](https://aclanthology.org/2021.findings-emnlp.175/) *— 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021*
53. [Multi-granularity Textual Adversarial Attack with Behavior Cloning](https://aclanthology.org/2021.emnlp-main.371/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
54. [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*
55. [Phrase-BERT: Improved Phrase Embeddings from BERT with an Application to Corpus Exploration](https://aclanthology.org/2021.emnlp-main.846/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
56. [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*
57. [Rethinking Sentiment Style Transfer](https://aclanthology.org/2021.findings-emnlp.135/) *— 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021*
58. [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*
59. [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*
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. [XFORMAL: A Benchmark for Multilingual Formality Style Transfer](https://arxiv.org/abs/2104.04108) *— 2021 · arXiv:2104.04108*

Pages: [1](https://md.research.elamur.ai/free/en/papers/krishna-2020-reformulating-unsupervised-style-transfer-as/cited-by/) · **2**