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home / docs / papers / cited-by / Who cites «Style Transfer from Non-Parallel Text by Cross-Alignment» · page 2

Who cites «Style Transfer from Non-Parallel Text by Cross-Alignment» · page 2

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

Pages: 1 · 2 · 3 · 4

  1. Let the CAT out of the bag: Contrastive Attributed explanations for Text — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  2. 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
  3. MReD: A Meta-Review Dataset for Structure-Controllable Text Generation — 2022 · Findings of the Association for Computational Linguistics: ACL 2022
  4. 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
  5. Metric-guided Distillation: Distilling Knowledge from the Metric to Ranker and Retriever for Generative Commonsense Reasoning — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  6. 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)
  7. NEWTS: A Corpus for News Topic-Focused Summarization — 2022 · Findings of the Association for Computational Linguistics: ACL 2022
  8. Non-Parallel Text Style Transfer with Self-Parallel Supervision — 2022 · arXiv:2204.08123
  9. On Text Style Transfer via Style Masked Language Models — 2022 · arXiv:2210.06394
  10. ParaDetox: Detoxification with Parallel Data — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  11. Paraphrase Generation as Unsupervised Machine Translation — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
  12. 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
  13. RLPrompt: Optimizing Discrete Text Prompts with Reinforcement Learning — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  14. Replacing Language Model for Style Transfer — 2022 · arXiv:2211.07343
  15. SimpleStyle: An Adaptable Style Transfer Approach — 2022 · arXiv:2212.10498
  16. 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
  17. 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
  18. 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
  19. Text Revision by On-the-Fly Representation Optimization — 2022 · Proceedings of the First Workshop on Intelligent and Interactive Writing Assistants (In2Writing 2022)
  20. 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
  21. 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
  22. Text Style Transferring via Adversarial Masking and Styled Filling — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  23. 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
  24. Towards Unifying the Label Space for Aspect- and Sentence-based Sentiment Analysis — 2022 · Findings of the Association for Computational Linguistics: ACL 2022
  25. Translate-Train Embracing Translationese Artifacts — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
  26. Using Structured Content Plans for Fine-grained Syntactic Control in Pretrained Language Model Generation — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
  27. ``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
  28. 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)
  29. A Recipe For Arbitrary Text Style Transfer with Large Language Models — 2021 · arXiv:2109.03910
  30. A Review of Text Style Transfer using Deep Learning — 2021 · arXiv:2109.15144 · IEEE Transactions on Artificial Intelligence (TAI), (2021)
  31. APo-VAE: Text Generation in Hyperbolic Space — 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  32. 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
  33. AgreeSum: Agreement-Oriented Multi-Document Summarization — 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
  34. Auto-encodeurs variationnels : contrecarrer le problème de posterior collapse grâce à la régularisation du décodeur (Variational auto-encoders : prevent posterior collapse via decoder regularization) — 2021 · Actes de la 28e Conférence sur le Traitement Automatique des Langues Naturelles. Volume 1 : conférence principale
  35. Break-It-Fix-It: Unsupervised Learning for Program Repair — 2021 · arXiv:2106.06600
  36. 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
  37. Collaborative Learning of Bidirectional Decoders for Unsupervised Text Style Transfer — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  38. Combining Curriculum Learning and Knowledge Distillation for Dialogue Generation — 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021
  39. 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
  40. Contextualizing Variation in Text Style Transfer Datasets — 2021 · Proceedings of the 14th International Conference on Natural Language Generation
  41. Controllable Neural Dialogue Summarization with Personal Named Entity Planning — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  42. Controlled Neural Sentence-Level Reframing of News Articles — 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021
  43. 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
  44. Disentangling Generative Factors in Natural Language with Discrete Variational Autoencoders — 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021
  45. ER-AE: Differentially Private Text Generation for Authorship Anonymization — 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  46. Empirical Evaluation of Supervision Signals for Style Transfer Models — 2021 · arXiv:2101.06172
  47. 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)
  48. Exploring Non-Autoregressive Text Style Transfer — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  49. FlowPrior: Learning Expressive Priors for Latent Variable Sentence Models — 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  50. GTAE: Graph-Transformer based Auto-Encoders for Linguistic-Constrained Text Style Transfer — 2021 · arXiv:2102.00769
  51. Generating Syntactically Controlled Paraphrases without Using Annotated Parallel Pairs — 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume
  52. 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
  53. 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)
  54. LEWIS: Levenshtein Editing for Unsupervised Text Style Transfer — 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
  55. Math Word Problem Generation with Mathematical Consistency and Problem Context Constraints — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  56. Methods for Detoxification of Texts for the Russian Language — 2021 · arXiv:2105.09052
  57. 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
  58. 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
  59. Multi-Pair Text Style Transfer on Unbalanced Data — 2021 · arXiv:2106.10608
  60. 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
  61. Multimodal Text Style Transfer for Outdoor Vision-and-Language Navigation — 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume
  62. NAST: A Non-Autoregressive Generator with Word Alignment for Unsupervised Text Style Transfer — 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
  63. 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)
  64. 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
  65. 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
  66. PENS: A Dataset and Generic Framework for Personalized News Headline Generation — 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. PIE: A Parallel Idiomatic Expression Corpus for Idiomatic Sentence Generation and Paraphrasing — 2021 · Proceedings of the 17th Workshop on Multiword Expressions (MWE 2021)
  68. Parallel Refinements for Lexically Constrained Text Generation with BART — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  69. Rethinking Sentiment Style Transfer — 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021
  70. Retrieve, Discriminate and Rewrite: A Simple and Effective Framework for Obtaining Affective Response in Retrieval-Based Chatbots — 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021
  71. SE-DAE: Style-Enhanced Denoising Auto-Encoder for Unsupervised Text Style Transfer — 2021 · arXiv:2104.12977
  72. Self-Supervised Knowledge Assimilation for Expert-Layman Text Style Transfer — 2021 · arXiv:2110.02950
  73. Sentence Bottleneck Autoencoders from Transformer Language Models — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  74. Style Pooling: Automatic Text Style Obfuscation for Improved Classification Fairness — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  75. 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
  76. Syntax Matters! Syntax-Controlled in Text Style Transfer — 2021 · Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2021)
  77. Text Detoxification using Large Pre-trained Neural Models — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  78. Text Style Transfer: Leveraging a Style Classifier on Entangled Latent Representations — 2021 · Proceedings of the 6th Workshop on Representation Learning for NLP (RepL4NLP-2021)
  79. 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)
  80. 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)
  81. Time-Aware Ancient Chinese Text Translation and Inference — 2021 · Proceedings of the 2nd International Workshop on Computational Approaches to Historical Language Change 2021
  82. Towards Understanding and Mitigating Social Biases in Language Models — 2021 · arXiv:2106.13219
  83. Transductive Learning for Unsupervised Text Style Transfer — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  84. Transferable Persona-Grounded Dialogues via Grounded Minimal Edits — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  85. Unsupervised Text Style Transfer with Content Embeddings — 2021 · Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2021)
  86. VAE based Text Style Transfer with Pivot Words Enhancement Learning — 2021 · Proceedings of the 18th International Conference on Natural Language Processing (ICON)
  87. XFORMAL: A Benchmark for Multilingual Formality Style Transfer — 2021 · arXiv:2104.04108
  88. 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
  89. A Batch Normalized Inference Network Keeps the KL Vanishing Away — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
  90. A Probabilistic Formulation of Unsupervised Text Style Transfer — 2020 · arXiv:2002.03912
  91. A little goes a long way: Improving toxic language classification despite data scarcity — 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020
  92. Back to the Future: Unsupervised Backprop-based Decoding for Counterfactual and Abductive Commonsense Reasoning — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
  93. CAT-Gen: Improving Robustness in NLP Models via Controlled Adversarial Text Generation — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
  94. Can Humor Prediction Datasets be used for Humor Generation? Humorous Headline Generation via Style Transfer — 2020 · Proceedings of the Second Workshop on Figurative Language Processing
  95. Can You be More Social? Injecting Politeness and Positivity into Task-Oriented Conversational Agents — 2020 · arXiv:2012.14653
  96. 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
  97. Contextual Text Style Transfer — 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020
  98. Control, Generate, Augment: A Scalable Framework for Multi-Attribute Text Generation — 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020
  99. Crossing Variational Autoencoders for Answer Retrieval — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
  100. Cycle-Consistent Adversarial Autoencoders for Unsupervised Text Style Transfer — 2020 · Proceedings of the 28th International Conference on Computational Linguistics

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