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home / docs / papers / cited-by / Who cites «Dear Sir or Madam, May I Introduce the GYAFC Dataset: Corpus, Benchmarks and Metrics for Formality Style Transfer» · page 3

Who cites «Dear Sir or Madam, May I Introduce the GYAFC Dataset: Corpus, Benchmarks and Metrics for Formality Style Transfer» · page 3

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

Pages: 1 · 2 · 3

  1. Text Style Transfer: A Review and Experimental Evaluation — 2020 · arXiv:2010.12742 · KDD Explorations 24 (2022) 14-45
  2. Unsupervised Text Style Transfer with Padded Masked Language Models — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
  3. (Male, Bachelor) and (Female, Ph.D) have different connotations: Parallelly Annotated Stylistic Language Dataset with Multiple Personas — 2019 · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)
  4. A Dual Reinforcement Learning Framework for Unsupervised Text Style Transfer — 2019 · arXiv:1905.10060
  5. Answer-based Adversarial Training for Generating Clarification Questions — 2019 · Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)
  6. Automatic Grammatical Error Correction for Sequence-to-sequence Text Generation: An Empirical Study — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
  7. Controlling Neural Machine Translation Formality with Synthetic Supervision — 2019 · arXiv:1911.08706
  8. Courteously Yours: Inducing courteous behavior in Customer Care responses using Reinforced Pointer Generator Network — 2019 · Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)
  9. Curate and Generate: A Corpus and Method for Joint Control of Semantics and Style in Neural NLG — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
  10. Disentangled Representation Learning for Non-Parallel Text Style Transfer — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
  11. Domain Adaptive Text Style Transfer — 2019 · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)
  12. Encode, Tag, Realize: High-Precision Text Editing — 2019 · arXiv:1909.01187
  13. Formality Style Transfer with Hybrid Textual Annotations — 2019 · arXiv:1903.06353
  14. Generating Formality-Tuned Summaries Using Input-Dependent Rewards — 2019 · Proceedings of the 23rd Conference on Computational Natural Language Learning (CoNLL)
  15. Grammatical Error Correction and Style Transfer via Zero-shot Monolingual Translation — 2019 · arXiv:1903.11283
  16. Harnessing Pre-Trained Neural Networks with Rules for Formality Style Transfer — 2019 · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)
  17. Negative Lexically Constrained Decoding for Paraphrase Generation — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
  18. PoMo: Generating Entity-Specific Post-Modifiers in Context — 2019 · Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)
  19. Semi-supervised Text Style Transfer: Cross Projection in Latent Space — 2019 · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)
  20. Sequence-to-sequence Pre-training with Data Augmentation for Sentence Rewriting — 2019 · arXiv:1909.06002
  21. Style Transfer for Texts: Retrain, Report Errors, Compare with Rewrites — 2019 · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)
  22. The Daunting Task of Real-World Textual Style Transfer Auto-Evaluation — 2019 · arXiv:1910.03747
  23. Towards Content Transfer through Grounded Text Generation — 2019 · Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)
  24. Unsupervised Evaluation Metrics and Learning Criteria for Non-Parallel Textual Transfer — 2019 · Proceedings of the 3rd Workshop on Neural Generation and Translation
  25. ``My Way of Telling a Story'''': Persona based Grounded Story Generation — 2019 · Proceedings of the Second Workshop on Storytelling
  26. ``Transforming'''' Delete, Retrieve, Generate Approach for Controlled Text Style Transfer — 2019 · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)
  27. Can Neural Generators for Dialogue Learn Sentence Planning and Discourse Structuring? — 2018 · Proceedings of the 11th International Conference on Natural Language Generation
  28. Characterizing Variation in Crowd-Sourced Data for Training Neural Language Generators to Produce Stylistically Varied Outputs — 2018 · Proceedings of the 11th International Conference on Natural Language Generation
  29. Controlling Personality-Based Stylistic Variation with Neural Natural Language Generators — 2018 · Proceedings of the 19th Annual SIGdial Meeting on Discourse and Dialogue
  30. Multi-Task Neural Models for Translating Between Styles Within and Across Languages — 2018 · Proceedings of the 27th International Conference on Computational Linguistics
  31. What is wrong with style transfer for texts? — 2018 · arXiv:1808.04365
  32. ananthasubramaniam-2023-exploring-linguistic-style-matching-online
  33. balepur-2023-text-fact-transfer
  34. bhatt-2025-research-borderlands-analysing-writing-across
  35. cao-2025-rationalize-align-enhancing-writing-assistance
  36. chen-2024-reference-guided-style-consistent-content
  37. das-2023-balancing-effect-training-dataset-distribution
  38. havaldar-2025-style-alignment-cross-cultural-translation
  39. huang-2022-attribute-entangled-controllable-text-generation
  40. islam-2026-who-gets-which-message-auditing
  41. jin-2024-reusing-transferable-weight-increments-low
  42. jin-2025-coba-counterbias-text-augmentation-mitigating
  43. kim-2024-pema-offsite-tunable-plug-external
  44. kocak-2025-cure-controlled-unlearning-robust-embeddings
  45. li-2025-facilitating-cross-lingual-transfer-empathy
  46. liu-2024-authorship-style-transfer-policy-optimization
  47. liu-2024-proofread-fixes-all-errors-one
  48. liu-2024-step-step-controlling-arbitrary-style
  49. mekki-2021-tremolo-tweets-multi-label-corpus
  50. mekki-2021-tremolo-un-corpus-multi-etiquettes
  51. nawezi-2023-style-locality-controllable-generation-knn
  52. numaya-2025-how-stylistic-similarity-shapes-preferences
  53. ostheimer-2025-challenging-assumptions-learning-generic-text
  54. vashisht-2024-umass-bionlp-mediqa-m3g-2024
  55. vishnubhotla-2021-evaluation-disentangled-representation-learning-texts
  56. yang-2022-mask-regenerate-classifier-based-approach
  57. yuan-2025-llm-loop-creating-paradehate-dataset
  58. zenimoto-2023-style-sensitive-sentence-embeddings-evaluating
  59. zhang-2023-g-speed-general-sparse-efficient
  60. zong-2025-proswitch-knowledge-guided-instruction-tuning

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