Mova0.5 pre-release⌕
☰
home / docs / papers / cited-by / Who cites «Delete, Retrieve, Generate: A Simple Approach to Sentiment and Style Transfer» · page 3

Who cites «Delete, Retrieve, Generate: A Simple Approach to Sentiment and Style Transfer» · page 3

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. Reinforced Rewards Framework for Text Style Transfer — 2020 · arXiv:2005.05256
  2. Retrieval-Augmented Controllable Review Generation — 2020 · Proceedings of the 28th International Conference on Computational Linguistics
  3. Rich Syntactic and Semantic Information Helps Unsupervised Text Style Transfer — 2020 · Proceedings of the 13th International Conference on Natural Language Generation
  4. ST$^2$: Small-data Text Style Transfer via Multi-task Meta-Learning — 2020 · arXiv:2004.11742
  5. Semantic Matching for Sequence-to-Sequence Learning — 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020
  6. Semi-supervised Formality Style Transfer using Language Model Discriminator and Mutual Information Maximization — 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020
  7. Stable Style Transformer: Delete and Generate Approach with Encoder-Decoder for Text Style Transfer — 2020 · Proceedings of the 13th International Conference on Natural Language Generation
  8. Style versus Content: A distinction without a (learnable) difference? — 2020 · Proceedings of the 28th International Conference on Computational Linguistics
  9. Stylized Text Generation: Approaches and Applications — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: Tutorial Abstracts
  10. Text Style Transfer: A Review and Experimental Evaluation — 2020 · arXiv:2010.12742 · KDD Explorations 24 (2022) 14-45
  11. Towards A Friendly Online Community: An Unsupervised Style Transfer Framework for Profanity Redaction — 2020 · Proceedings of the 28th International Conference on Computational Linguistics
  12. Unsupervised Text Style Transfer with Padded Masked Language Models — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
  13. A Dual Reinforcement Learning Framework for Unsupervised Text Style Transfer — 2019 · arXiv:1905.10060
  14. A Hierarchical Reinforced Sequence Operation Method for Unsupervised Text Style Transfer — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
  15. A Modular Architecture for Unsupervised Sarcasm Generation — 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)
  16. A Neural Approach to Irony Generation — 2019 · arXiv:1909.06200
  17. ALTER: Auxiliary Text Rewriting Tool for Natural Language Generation — 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): System Demonstrations
  18. 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)
  19. Disentangled Representation Learning for Non-Parallel Text Style Transfer — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
  20. 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)
  21. Evaluating Style Transfer for Text — 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)
  22. Extract and Edit: An Alternative to Back-Translation for Unsupervised Neural Machine Translation — 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)
  23. Formality Style Transfer with Hybrid Textual Annotations — 2019 · arXiv:1903.06353
  24. Generating Sentences from Disentangled Syntactic and Semantic Spaces — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
  25. IMaT: Unsupervised Text Attribute Transfer via Iterative Matching and Translation — 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)
  26. Justifying Recommendations using Distantly-Labeled Reviews and Fine-Grained Aspects — 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. Keep Calm and Switch On! Preserving Sentiment and Fluency in Semantic Text Exchange — 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)
  28. Learning to Control the Fine-grained Sentiment for Story Ending Generation — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
  29. Mask and Infill" : Applying Masked Language Model to Sentiment Transfer — 2019 · arXiv:1908.08039
  30. Mimic and Rephrase: Reflective Listening in Open-Ended Dialogue — 2019 · Proceedings of the 23rd Conference on Computational Natural Language Learning (CoNLL)
  31. Multiple Text Style Transfer by using Word-level Conditional Generative Adversarial Network with Two-Phase Training — 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)
  32. Neural Text Style Transfer via Denoising and Reranking — 2019 · Proceedings of the Workshop on Methods for Optimizing and Evaluating Neural Language Generation
  33. Plain English Summarization of Contracts — 2019 · Proceedings of the Natural Legal Language Processing Workshop 2019
  34. Plug and Play Language Models: A Simple Approach to Controlled Text Generation — 2019 · arXiv:1912.02164
  35. Pun Generation with Surprise — 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)
  36. Reinforcement Learning Based Text Style Transfer without Parallel Training Corpus — 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)
  37. Revision in Continuous Space: Unsupervised Text Style Transfer without Adversarial Learning — 2019 · arXiv:1905.12304
  38. Step-by-Step: Separating Planning from Realization in Neural Data-to-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)
  39. 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)
  40. Style Transformer: Unpaired Text Style Transfer without Disentangled Latent Representation — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
  41. The Daunting Task of Real-World Textual Style Transfer Auto-Evaluation — 2019 · arXiv:1910.03747
  42. 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)
  43. Towards Fine-grained Text Sentiment Transfer — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
  44. Towards augmenting crisis counselor training by improving message retrieval — 2019 · Proceedings of the Sixth Workshop on Computational Linguistics and Clinical Psychology
  45. Unifying Human and Statistical Evaluation for Natural Language Generation — 2019 · arXiv:1904.02792
  46. Unsupervised Evaluation Metrics and Learning Criteria for Non-Parallel Textual Transfer — 2019 · Proceedings of the 3rd Workshop on Neural Generation and Translation
  47. ``My Way of Telling a Story'''': Persona based Grounded Story Generation — 2019 · Proceedings of the Second Workshop on Storytelling
  48. ``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)
  49. Dictionary-Guided Editing Networks for Paraphrase Generation — 2018 · arXiv:1806.08077
  50. Language Style Transfer from Sentences with Arbitrary Unknown Styles — 2018 · arXiv:1808.04071
  51. Learning Neural Templates for Text Generation — 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing
  52. Monolingual and Cross-lingual Zero-shot Style Transfer — 2018 · arXiv:1808.00179
  53. Multiple-Attribute Text Style Transfer — 2018 · arXiv:1811.00552
  54. QuaSE: Accurate Text Style Transfer under Quantifiable Guidance — 2018 · arXiv:1804.07007
  55. QuaSE: Sequence Editing under Quantifiable Guidance — 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing
  56. Sounds Wilde. Phonetically Extended Embeddings for Author-Stylized Poetry Generation — 2018 · Proceedings of the Fifteenth Workshop on Computational Research in Phonetics, Phonology, and Morphology
  57. Structured Content Preservation for Unsupervised Text Style Transfer — 2018 · arXiv:1810.06526
  58. Style Transfer Through Back-Translation — 2018 · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  59. Style Transfer Through Multilingual and Feedback-Based Back-Translation — 2018 · arXiv:1809.06284
  60. Style Transfer as Unsupervised Machine Translation — 2018 · arXiv:1808.07894
  61. Unsupervised Text Style Transfer using Language Models as Discriminators — 2018 · arXiv:1805.11749
  62. What is wrong with style transfer for texts? — 2018 · arXiv:1808.04365
  63. Evaluating prose style transfer with the Bible — our card · 2017 · arXiv:1711.04731 · Royal Society open science 5.10 (2018): 171920
  64. adelani-2021-preventing-author-profiling-through-zero
  65. akdag-2026-directed-attention-is-all-you
  66. balepur-2023-text-fact-transfer
  67. chang-2022-one-teacher-multiple-student-knowledge
  68. chen-2024-reference-guided-style-consistent-content
  69. choi-2024-hard-prompts-made-interpretable-sparse
  70. diao-2023-doolittle-benchmarks-corpora-academic-writing
  71. elgaar-2026-linggen-scalable-multi-attribute-linguistic
  72. ezzini-2026-arasenteval-2026-shared-task-sentiment
  73. fan-2023-nano-nested-human-loop-reward
  74. felhi-2021-challenging-semi-supervised-vae-framework
  75. fu-2020-unsupervised-kb-text-generation-auxiliary
  76. gupta-2020-viable-threat-news-reading-generating
  77. gupta-2026-learning-optimal-message-representations-agentic
  78. hegel-2020-substance-over-style-document-level
  79. jansen-2022-controllable-text-generation-all-ages
  80. jia-2025-positive-text-reframing-under-multi
  81. jiang-2026-all-that-glisters-is-not
  82. jin-2024-reusing-transferable-weight-increments-low
  83. keith-2021-text-as-causal-mediators-research
  84. kruengkrai-2019-learning-flip-sentiment-reviews-non
  85. kuila-2023-analyzing-sentiment-polarity-reduction-news
  86. latouche-2023-generating-video-game-scripts-style
  87. li-2023-stylized-dialogue-generation-feature-guided
  88. liu-2024-step-step-controlling-arbitrary-style
  89. moorjani-2024-cev-lm-controlled-edit-vector
  90. moya-2021-taking-things-personally-third-person
  91. niwa-2021-predicting-antonyms-context-bert
  92. padhi-2020-learning-implicit-text-generation-feature
  93. pour-2024-gaussian-process-optimization-adaptable-multi
  94. raedt-2021-simple-geometric-method-cross-lingual
  95. scalercio-2023-proposta-e-avaliacao-linguistica-de
  96. shah-2020-nlp-service-apis-models-efficient
  97. sreedhar-2020-learning-improvised-chatbots-adversarial-modifications
  98. stahlberg-2022-conciseness-overlooked-language-task
  99. xu-2024-pluggable-neural-machine-translation-models
  100. yang-2019-specificity-driven-cascading-approach-unsupervised

Pages: 1 · 2 · 3 · 4

This page in Markdown → https://md.mova.elamur.ai/free/en/docs/papers/cited-by/li-2018-delete-retrieve-generate-simple-approach-3/