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Who cites «Dear Sir or Madam, May I Introduce the GYAFC Dataset: Corpus, Benchmarks and Metrics for Formality Style Transfer» · page 2

260 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. ← the card

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  1. LENS: A Learnable Evaluation Metric for Text Simplification — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  2. Learning Disentangled Meaning and Style Representations for Positive Text Reframing — 2023 · Proceedings of the 16th International Natural Language Generation Conference
  3. Learning Interpretable Style Embeddings via Prompting LLMs — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
  4. MVP: Multi-task Supervised Pre-training for Natural Language Generation — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  5. Multidimensional Evaluation for Text Style Transfer Using ChatGPT — 2023 · arXiv:2304.13462
  6. Prompt-Based Editing for Text Style Transfer — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
  7. RAMP: Retrieval and Attribute-Marking Enhanced Prompting for Attribute-Controlled Translation — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
  8. Reducing Sequence Length by Predicting Edit Spans with Large Language Models — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  9. Reinforced Sequence Training based Subjective Bias Correction — 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics
  10. Representation of Lexical Stylistic Features in Language Models' Embedding Space — 2023 · Proceedings of the 12th Joint Conference on Lexical and Computational Semantics (*SEM 2023)
  11. RewriteLM: An Instruction-Tuned Large Language Model for Text Rewriting — 2023 · arXiv:2305.15685 · AAAI 2024
  12. STEER: Unified Style Transfer with Expert Reinforcement — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
  13. StyLEx: Explaining Style Using Human Lexical Annotations — 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics
  14. Style Locality for Controllable Generation with kNN Language Models — 2023 · Proceedings of the 1st Workshop on Taming Large Language Models: Controllability in the era of Interactive Assistants
  15. Style-sensitive Sentence Embeddings for Evaluating Similarity in Speech Style of Japanese Sentences by Contrastive Learning — 2023 · Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics: Student Research Workshop
  16. Text Fact Transfer — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  17. Text Style Transfer with Contrastive Transfer Pattern Mining — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  18. Towards Formality-Aware Neural Machine Translation by Leveraging Context Information — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
  19. Training Models to Generate, Recognize, and Reframe Unhelpful Thoughts — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  20. Transformers Go for the LOLs: Generating (Humourous) Titles from Scientific Abstracts End-to-End — 2023 · Proceedings of the 4th Workshop on Evaluation and Comparison of NLP Systems
  21. Unsupervised Style Transfer in News Headlines via Discrete Style Space — 2023 · Proceedings of the 22nd Chinese National Conference on Computational Linguistics
  22. What Makes Sentences Semantically Related? A Textual Relatedness Dataset and Empirical Study — 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics
  23. ``Kelly is a Warm Person, Joseph is a Role Model'''': Gender Biases in LLM-Generated Reference Letters — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
  24. (Psycho-)Linguistic Features Meet Transformer Models for Improved Explainable and Controllable Text Simplification — 2022 · Proceedings of the Workshop on Text Simplification, Accessibility, and Readability (TSAR-2022)
  25. A Recipe for Arbitrary Text Style Transfer with Large Language Models — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
  26. A large-scale computational study of content preservation measures for text style transfer and paraphrase generation — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop
  27. BERT in Plutarch's Shadows — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  28. BeamR: Beam Reweighing with Attribute Discriminators for Controllable Text Generation — 2022 · Findings of the Association for Computational Linguistics: AACL-IJCNLP 2022
  29. CoCoA-MT: A Dataset and Benchmark for Contrastive Controlled MT with Application to Formality — 2022 · Findings of the Association for Computational Linguistics: NAACL 2022
  30. CoCoa: An Encoder-Decoder Model for Controllable Code-switched Generation — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  31. Construction and Validation of a Japanese Honorific Corpus Based on Systemic Functional Linguistics — 2022 · Proceedings of the Workshop on Dataset Creation for Lower-Resourced Languages within the 13th Language Resources and Evaluation Conference
  32. Deep Learning for Text Style Transfer: A Survey — 2022 · Computational Linguistics
  33. Exploiting Social Media Content for Self-Supervised Style Transfer — 2022 · Proceedings of the Tenth International Workshop on Natural Language Processing for Social Media
  34. 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
  35. Exploring Cross-lingual Textual Style Transfer with Large Multilingual Language Models — 2022 · arXiv:2206.02252
  36. He Said, She Said: Style Transfer for Shifting the Perspective of Dialogues — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
  37. 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)
  38. Improving Iterative Text Revision by Learning Where to Edit from Other Revision Tasks — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  39. Improving Machine Translation Formality Control with Weakly-Labelled Data Augmentation and Post Editing Strategies — 2022 · Proceedings of the 19th International Conference on Spoken Language Translation (IWSLT 2022)
  40. Inducing Positive Perspectives with Text Reframing — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  41. Learning from Bootstrapping and Stepwise Reinforcement Reward: A Semi-Supervised Framework for Text Style Transfer — 2022 · Findings of the Association for Computational Linguistics: NAACL 2022
  42. 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
  43. Meet Your Favorite Character: Open-domain Chatbot Mimicking Fictional Characters with only a Few Utterances — 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  44. 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)
  45. Multi-Figurative Language Generation — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
  46. 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)
  47. Non-Parallel Text Style Transfer with Self-Parallel Supervision — 2022 · arXiv:2204.08123
  48. ParaDetox: Detoxification with Parallel Data — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  49. 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
  50. Replacing Language Model for Style Transfer — 2022 · arXiv:2211.07343
  51. 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
  52. Same Author or Just Same Topic? Towards Content-Independent Style Representations — 2022 · Proceedings of the 7th Workshop on Representation Learning for NLP
  53. Semi-Supervised Formality Style Transfer with Consistency Training — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  54. SimpleStyle: An Adaptable Style Transfer Approach — 2022 · arXiv:2212.10498
  55. 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)
  56. 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
  57. StyleKQC: A Style-Variant Paraphrase Corpus for Korean Questions and Commands — 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference
  58. 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
  59. Text Revision by On-the-Fly Representation Optimization — 2022 · Proceedings of the First Workshop on Intelligent and Interactive Writing Assistants (In2Writing 2022)
  60. 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
  61. 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
  62. TextBox 2.0: A Text Generation Library with Pre-trained Language Models — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: System Demonstrations
  63. Towards Attribute-Entangled Controllable Text Generation: A Pilot Study of Blessing Generation — 2022 · Proceedings of the Second Workshop on Natural Language Generation, Evaluation, and Metrics (GEM)
  64. TyDiP: A Dataset for Politeness Classification in Nine Typologically Diverse Languages — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
  65. ``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
  66. A Hierarchical VAE for Calibrating Attributes while Generating Text using Normalizing Flow — 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)
  67. A Recipe For Arbitrary Text Style Transfer with Large Language Models — 2021 · arXiv:2109.03910
  68. A Review of Text Style Transfer using Deep Learning — 2021 · arXiv:2109.15144 · IEEE Transactions on Artificial Intelligence (TAI), (2021)
  69. An Evaluation of Disentangled Representation Learning for Texts — 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
  70. 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
  71. Collaborative Learning of Bidirectional Decoders for Unsupervised Text Style Transfer — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  72. Contextualizing Variation in Text Style Transfer Datasets — 2021 · Proceedings of the 14th International Conference on Natural Language Generation
  73. 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
  74. 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
  75. Edit Distance Based Curriculum Learning for Paraphrase Generation — 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing: Student Research Workshop
  76. Empirical Evaluation of Supervision Signals for Style Transfer Models — 2021 · arXiv:2101.06172
  77. 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
  78. Exploring Non-Autoregressive Text Style Transfer — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  79. FUDGE: Controlled Text Generation With Future Discriminators — 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  80. 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
  81. Improving Formality Style Transfer with Context-Aware Rule Injection — 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)
  82. Methods for Detoxification of Texts for the Russian Language — 2021 · arXiv:2105.09052
  83. 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
  84. 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
  85. NAST: A Non-Autoregressive Generator with Word Alignment for Unsupervised Text Style Transfer — 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
  86. 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
  87. 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
  88. PIE: A Parallel Idiomatic Expression Corpus for Idiomatic Sentence Generation and Paraphrasing — 2021 · Proceedings of the 17th Workshop on Multiword Expressions (MWE 2021)
  89. SE-DAE: Style-Enhanced Denoising Auto-Encoder for Unsupervised Text Style Transfer — 2021 · arXiv:2104.12977
  90. Self-Supervised Knowledge Assimilation for Expert-Layman Text Style Transfer — 2021 · arXiv:2110.02950
  91. Style is NOT a single variable: Case Studies for Cross-Stylistic Language Understanding — 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)
  92. 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
  93. Syntax Matters! Syntax-Controlled in Text Style Transfer — 2021 · Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2021)
  94. TREMoLo : un corpus multi-étiquettes de tweets en français pour la caractérisation des registres de langue (TREMoLo : a Multi-Label Corpus of French Tweets for Language Register Characterization) — 2021 · Actes de la 28e Conférence sur le Traitement Automatique des Langues Naturelles. Volume 1 : conférence principale
  95. TREMoLo-Tweets: A Multi-Label Corpus of French Tweets for Language Register Characterization — 2021 · Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2021)
  96. Text Detoxification using Large Pre-trained Neural Models — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  97. Text Style Transfer: Leveraging a Style Classifier on Entangled Latent Representations — 2021 · Proceedings of the 6th Workshop on Representation Learning for NLP (RepL4NLP-2021)
  98. Thank you BART! Rewarding Pre-Trained Models Improves Formality Style Transfer — 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 2: Short Papers)
  99. The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics — 2021 · Proceedings of the First Workshop on Natural Language Generation, Evaluation, and Metrics (GEM)
  100. 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

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