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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

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  1. Exploiting Social Media Content for Self-Supervised Style Transfer — 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. — 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 — 2022 · arXiv:2206.02252
  4. Exploring diversity in back translation for low-resource machine translation — 2022 · Proceedings of the Third Workshop on Deep Learning for Low-Resource Natural Language Processing
  5. Generative Pretraining for Paraphrase Evaluation — 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 — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
  7. Human Judgement as a Compass to Navigate Automatic Metrics for Formality Transfer — 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 — 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 — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  10. Improving Factual Consistency in Summarization with Compression-Based Post-Editing — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  11. Low Resource Style Transfer via Domain Adaptive Meta Learning — 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? — our card · 2022 · arXiv:2212.08986
  13. MOVER: Mask, Over-generate and Rank for Hyperbole Generation — 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 — 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. — 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 — 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 — 2022 · arXiv:2204.08123
  18. On The Ingredients of an Effective Zero-shot Semantic Parser — 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 — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
  20. PINEAPPLE: Personifying INanimate Entities by Acquiring Parallel Personification Data for Learning Enhanced Generation — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
  21. ParaZh-22M: A Large-Scale Chinese Parabank via Machine Translation — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
  22. Paraphrasing Techniques for Maritime QA system — 2022 · arXiv:2203.10854
  23. Paraphrastic Representations at Scale — 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 — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  25. RLPrompt: Optimizing Discrete Text Prompts with Reinforcement Learning — 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 — 2022 · arXiv:2212.07919
  27. Rethinking Style Transformer with Energy-based Interpretation: Adversarial Unsupervised Style Transfer using a Pretrained Model — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  28. SimpleStyle: An Adaptable Style Transfer Approach — 2022 · arXiv:2212.10498
  29. So Different Yet So Alike! Constrained Unsupervised Text Style Transfer — 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 — 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 — 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference
  32. T-STAR: Truthful Style Transfer using AMR Graph as Intermediate Representation — our card · 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  33. Text Style Transfer via Optimal Transport — 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 — 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 — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  36. VALUE: Understanding Dialect Disparity in 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 — 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 — 2021 · arXiv:2109.03910
  39. Beyond Grammatical Error Correction: Improving L1-influenced research writing in English using pre-trained encoder-decoder models — 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021
  40. Compression, Transduction, and Creation: A Unified Framework for Evaluating Natural Language Generation — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  41. Controlling Machine Translation for Multiple Attributes with Additive Interventions — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  42. ConvFiT: Conversational Fine-Tuning of Pretrained Language Models — 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 — 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 — 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 — 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 — 2021 · Proceedings of the 22nd Annual Meeting of the Special Interest Group on Discourse and Dialogue
  47. IGA: An Intent-Guided Authoring Assistant — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  48. Idiomatic Expression Paraphrasing without Strong Supervision — 2021 · arXiv:2112.08592
  49. LEWIS: Levenshtein Editing for Unsupervised Text Style Transfer — 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
  50. Methods for Detoxification of Texts for the Russian Language — 2021 · arXiv:2105.09052
  51. Mind the Style of Text! Adversarial and Backdoor Attacks Based on Text Style Transfer — 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 — 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021
  53. Multi-granularity Textual Adversarial Attack with Behavior Cloning — 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 — 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 — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  56. Preventing Author Profiling through Zero-Shot Multilingual Back-Translation — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  57. Rethinking Sentiment Style Transfer — 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021
  58. StylePTB: A Compositional Benchmark for Fine-grained Controllable Text Style Transfer — 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 — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  60. TextSETTR: Few-Shot Text Style Extraction and Tunable Targeted Restyling — 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 — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  62. Transductive Learning for Unsupervised Text Style Transfer — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  63. XFORMAL: A Benchmark for Multilingual Formality Style Transfer — 2021 · arXiv:2104.04108

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