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home / docs / papers / cited-by / Who cites «Delete, Retrieve, Generate: A Simple Approach to Sentiment and Style Transfer» · page 2

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

Pages: 1 · 2 · 3 · 4

  1. Multilingual Pre-training with Language and Task Adaptation for Multilingual Text Style Transfer — 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 — 2022 · arXiv:2204.08123
  3. On Text Style Transfer via Style Masked Language Models — 2022 · arXiv:2210.06394
  4. ParaDetox: Detoxification with Parallel Data — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  5. Paraphrase Generation as Unsupervised Machine Translation — 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 — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  7. RLPrompt: Optimizing Discrete Text Prompts with Reinforcement Learning — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  8. Replacing Language Model for Style Transfer — 2022 · arXiv:2211.07343
  9. SimpleStyle: An Adaptable Style Transfer Approach — 2022 · arXiv:2212.10498
  10. 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)
  11. 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
  12. Stylized Knowledge-Grounded Dialogue Generation via Disentangled Template Rewriting — 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 — 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 — 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 — 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 — 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 — 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 — 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? — 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 — 2022 · Proceedings of the 15th International Conference on Natural Language Generation
  21. A Novel Estimator of Mutual Information for Learning to Disentangle Textual Representations — 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 — 2021 · arXiv:2109.03910
  23. Acquiring a Formality-Informed Lexical Resource for Style Analysis — 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 — 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
  25. Civil Rephrases Of Toxic Texts With Self-Supervised Transformers — 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 — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  27. Contextualizing Variation in Text Style Transfer Datasets — 2021 · Proceedings of the 14th International Conference on Natural Language Generation
  28. Contrastive Representation Learning for Exemplar-Guided Paraphrase Generation — 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021
  29. DExperts: Decoding-Time Controlled Text Generation with Experts and Anti-Experts — 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 — 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 — 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 — 2021 · arXiv:2101.06172
  33. Enhancing Content Preservation in Text Style Transfer Using Reverse Attention and Conditional Layer Normalization — 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) — 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
  35. Exploring Non-Autoregressive Text Style Transfer — 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 — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  37. Idiomatic Expression Paraphrasing without Strong Supervision — 2021 · arXiv:2112.08592
  38. Improving Automated Evaluation of Open Domain Dialog via Diverse Reference Augmentation — 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 — 2021 · Proceedings of the 5th Workshop on Online Abuse and Harms (WOAH 2021)
  40. LEWIS: Levenshtein Editing for Unsupervised Text Style Transfer — 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
  41. Methods for Detoxification of Texts for the Russian Language — 2021 · arXiv:2105.09052
  42. 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
  43. Modulating Language Models with Emotions — 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 — 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 — 2021 · arXiv:2106.10608
  46. Multi-Style Transfer with Discriminative Feedback on Disjoint Corpus — 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 — 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
  48. Neural Stylistic Response Generation with Disentangled Latent Variables — 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 — 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 — 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 — 2021 · Proceedings of the 17th Workshop on Multiword Expressions (MWE 2021)
  52. Parallel Refinements for Lexically Constrained Text Generation with BART — 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 — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  54. Rethinking Sentiment Style Transfer — 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021
  55. Self-Supervised Knowledge Assimilation for Expert-Layman Text Style Transfer — 2021 · arXiv:2110.02950
  56. 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
  57. Syntax Matters! Syntax-Controlled in Text Style Transfer — 2021 · Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2021)
  58. Text Detoxification using Large Pre-trained Neural Models — 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 — 2021 · Proceedings of the 6th Workshop on Representation Learning for NLP (RepL4NLP-2021)
  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. Transferable Persona-Grounded Dialogues via Grounded Minimal Edits — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  64. Unsupervised Text Style Transfer with Content Embeddings — 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 — 2021 · Proceedings of the 18th International Conference on Natural Language Processing (ICON)
  66. WIKIBIAS: Detecting Multi-Span Subjective Biases in Language — 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021
  67. XFORMAL: A Benchmark for Multilingual Formality Style Transfer — 2021 · arXiv:2104.04108
  68. ``Nice Try, Kiddo'''': Investigating Ad Hominems in Dialogue Responses — 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) — 2021 · Proceedings of the 20th Chinese National Conference on Computational Linguistics
  70. A Probabilistic Formulation of Unsupervised Text Style Transfer — 2020 · arXiv:2002.03912
  71. An Empirical Study on Multi-Task Learning for Text Style Transfer and Paraphrase Generation — 2020 · Proceedings of the 28th International Conference on Computational Linguistics: Industry Track
  72. Attention Transfer Network for Aspect-level Sentiment Classification — 2020 · Proceedings of the 28th International Conference on Computational Linguistics
  73. Challenges in Emotion Style Transfer: An Exploration with a Lexical Substitution Pipeline — 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 — 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020
  75. Contextual Text Style Transfer — 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020
  76. Control, Generate, Augment: A Scalable Framework for Multi-Attribute Text Generation — 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020
  77. Cycle-Consistent Adversarial Autoencoders for Unsupervised Text Style Transfer — 2020 · Proceedings of the 28th International Conference on Computational Linguistics
  78. DGST: a Dual-Generator Network for Text Style Transfer — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
  79. Decode with Template: Content Preserving Sentiment Transfer — 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference
  80. Evaluating Compositionality of Sentence Representation Models — 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 — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
  82. Facilitating the Communication of Politeness through Fine-Grained Paraphrasing — our card · 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
  83. Formality Style Transfer with Shared Latent Space — 2020 · Proceedings of the 28th International Conference on Computational Linguistics
  84. From Disjoint Sets to Parallel Data to Train Seq2Seq Models for Sentiment Transfer — 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020
  85. Generating similes effortlessly like a Pro: A Style Transfer Approach for Simile Generation — 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 — 2020 · Proceedings of the 28th International Conference on Computational Linguistics
  87. Improving Adversarial Text Generation by Modeling the Distant Future — 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 — 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference
  89. Investigating Societal Biases in a Poetry Composition System — 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 — 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference
  91. Iterative Edit-Based Unsupervised Sentence Simplification — 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 — 2020 · Proceedings of the Fourth Workshop on Neural Generation and Translation
  93. Learning to Update Natural Language Comments Based on Code Changes — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
  94. Lost in Back-Translation: Emotion Preservation in Neural Machine Translation — 2020 · Proceedings of the 28th International Conference on Computational Linguistics
  95. PGST: a Polyglot Gender Style Transfer method — 2020 · arXiv:2009.01040
  96. Plug and Play Autoencoders for Conditional Text Generation — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
  97. Politeness Transfer: A Tag and Generate Approach — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
  98. PowerTransformer: Unsupervised Controllable Revision for Biased Language Correction — 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 — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
  100. Reformulating Unsupervised Style Transfer as Paraphrase Generation — our card · 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)

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