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# Who cites «Style Transfer from Non-Parallel Text by Cross-Alignment» · page 4

385 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. [← the card](https://md.mova.elamur.ai/free/en/docs/papers/shen-2017-style-transfer-non-parallel-text/)

Pages: [1](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/shen-2017-style-transfer-non-parallel-text/) · [2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/shen-2017-style-transfer-non-parallel-text-2/) · [3](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/shen-2017-style-transfer-non-parallel-text-3/) · **4**

1. [``My Way of Telling a Story'''': Persona based Grounded Story Generation](https://aclanthology.org/W19-3402/) *— 2019 · Proceedings of the Second Workshop on Storytelling*
2. [``Transforming'''' Delete, Retrieve, Generate Approach for Controlled Text Style Transfer](https://aclanthology.org/D19-1322/) *— 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)*
3. [Adversarial Example Generation with Syntactically Controlled Paraphrase Networks](https://aclanthology.org/N18-1170/) *— 2018 · Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers)*
4. [Argumentation Synthesis following Rhetorical Strategies](https://aclanthology.org/C18-1318/) *— 2018 · Proceedings of the 27th International Conference on Computational Linguistics*
5. [Controllable Abstractive Summarization](https://aclanthology.org/W18-2706/) *— 2018 · Proceedings of the 2nd Workshop on Neural Machine Translation and Generation*
6. [Controlling Personality-Based Stylistic Variation with Neural Natural Language Generators](https://aclanthology.org/W18-5019/) *— 2018 · Proceedings of the 19th Annual SIGdial Meeting on Discourse and Dialogue*
7. [Delete, Retrieve, Generate: A Simple Approach to Sentiment and Style Transfer](https://md.mova.elamur.ai/free/en/docs/papers/li-2018-delete-retrieve-generate-simple-approach/) *— our card · 2018 · arXiv:1804.06437*
8. [Fighting Offensive Language on Social Media with Unsupervised Text Style Transfer](https://aclanthology.org/P18-2031/) *— 2018 · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
9. [Language Style Transfer from Sentences with Arbitrary Unknown Styles](https://arxiv.org/abs/1808.04071) *— 2018 · arXiv:1808.04071*
10. [Learning Neural Templates for Text Generation](https://aclanthology.org/D18-1356/) *— 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing*
11. [Learning Sentiment Memories for Sentiment Modification without Parallel Data](https://aclanthology.org/D18-1138/) *— 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing*
12. [Learning to Flip the Bias of News Headlines](https://aclanthology.org/W18-6509/) *— 2018 · Proceedings of the 11th International Conference on Natural Language Generation*
13. [Learning to Listen: Critically Considering the Role of AI in Human Storytelling and Character Creation](https://aclanthology.org/W18-1501/) *— 2018 · Proceedings of the First Workshop on Storytelling*
14. [Monolingual and Cross-lingual Zero-shot Style Transfer](https://arxiv.org/abs/1808.00179) *— 2018 · arXiv:1808.00179*
15. [Multi-Task Neural Models for Translating Between Styles Within and Across Languages](https://aclanthology.org/C18-1086/) *— 2018 · Proceedings of the 27th International Conference on Computational Linguistics*
16. [Polite Dialogue Generation Without Parallel Data](https://aclanthology.org/Q18-1027/) *— 2018*
17. [QuaSE: Accurate Text Style Transfer under Quantifiable Guidance](https://arxiv.org/abs/1804.07007) *— 2018 · arXiv:1804.07007*
18. [QuaSE: Sequence Editing under Quantifiable Guidance](https://aclanthology.org/D18-1420/) *— 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing*
19. [SGM: Sequence Generation Model for Multi-label Classification](https://aclanthology.org/C18-1330/) *— 2018 · Proceedings of the 27th International Conference on Computational Linguistics*
20. [Sentiment Transfer using Seq2Seq Adversarial Autoencoders](https://arxiv.org/abs/1804.04003) *— 2018 · arXiv:1804.04003*
21. [Sounds Wilde. Phonetically Extended Embeddings for Author-Stylized Poetry Generation](https://aclanthology.org/W18-5813/) *— 2018 · Proceedings of the Fifteenth Workshop on Computational Research in Phonetics, Phonology, and Morphology*
22. [Spherical Latent Spaces for Stable Variational Autoencoders](https://aclanthology.org/D18-1480/) *— 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing*
23. [Structured Content Preservation for Unsupervised Text Style Transfer](https://arxiv.org/abs/1810.06526) *— 2018 · arXiv:1810.06526*
24. [Style Transfer Through Back-Translation](https://aclanthology.org/P18-1080/) *— 2018 · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
25. [Style Transfer Through Multilingual and Feedback-Based Back-Translation](https://arxiv.org/abs/1809.06284) *— 2018 · arXiv:1809.06284*
26. [Style Transfer as Unsupervised Machine Translation](https://arxiv.org/abs/1808.07894) *— 2018 · arXiv:1808.07894*
27. [Texar: A Modularized, Versatile, and Extensible Toolbox for Text Generation](https://aclanthology.org/W18-2503/) *— 2018 · Proceedings of Workshop for NLP Open Source Software (NLP-OSS)*
28. [Towards Controllable Story Generation](https://aclanthology.org/W18-1505/) *— 2018 · Proceedings of the First Workshop on Storytelling*
29. [Unpaired Sentiment-to-Sentiment Translation: A Cycled Reinforcement Learning Approach](https://aclanthology.org/P18-1090/) *— 2018 · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
30. [Unsupervised Cross-lingual Transfer of Word Embedding Spaces](https://aclanthology.org/D18-1268/) *— 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing*
31. [Unsupervised Text Style Transfer using Language Models as Discriminators](https://arxiv.org/abs/1805.11749) *— 2018 · arXiv:1805.11749*
32. [What is wrong with style transfer for texts?](https://arxiv.org/abs/1808.04365) *— 2018 · arXiv:1808.04365*
33. [Evaluating prose style transfer with the Bible](https://md.mova.elamur.ai/free/en/docs/papers/carlson-2017-evaluating-prose-style-transfer-bible/) *— our card · 2017 · arXiv:1711.04731 · Royal Society open science 5.10 (2018): 171920*
34. [Style Transfer in Text: Exploration and Evaluation](https://arxiv.org/abs/1711.06861) *— 2017 · arXiv:1711.06861*
35. [Unsupervised Machine Translation Using Monolingual Corpora Only](https://arxiv.org/abs/1711.00043) *— 2017 · arXiv:1711.00043*
36. adelani-2021-preventing-author-profiling-through-zero
37. akdag-2026-directed-attention-is-all-you
38. arase-2021-distilling-word-meaning-context-pre
39. balepur-2023-text-fact-transfer
40. bichi-2026-codezone-research-group-arasenteval-shared
41. chandrasekar-2026-medhastra-dravidianlangtech-2026-piecewise-style
42. chen-2024-reference-guided-style-consistent-content
43. choi-2024-hard-prompts-made-interpretable-sparse
44. das-2023-balancing-effect-training-dataset-distribution
45. dreano-2024-exploration-cyclegn-framework-low-resource
46. elgaar-2026-linggen-scalable-multi-attribute-linguistic
47. ezzini-2026-arasenteval-2026-shared-task-sentiment
48. gu-2026-mash-evading-black-box-ai
49. gupta-2020-viable-threat-news-reading-generating
50. kashefi-2021-contrapositive-local-class-inference
51. kashyap-2019-prose-painting
52. kim-2026-interpreting-style-representations-style-eliciting
53. kovaleva-2018-similarity-based-reconstruction-loss-meaning
54. kruengkrai-2019-learning-flip-sentiment-reviews-non
55. ksiezniak-2026-thesis-proposal-comparing-human-model
56. kuila-2023-analyzing-sentiment-polarity-reduction-news
57. labroo-2026-funny-or-persuasive-but-not
58. liu-2022-mpii-multi-level-mutual-promotion
59. liu-2024-step-step-controlling-arbitrary-style
60. mai-2022-bag-vectors-autoencoders-unsupervised-conditional
61. mo-2018-instagan-instance-aware-image-image
62. moya-2021-taking-things-personally-third-person
63. numaya-2025-how-stylistic-similarity-shapes-preferences
64. ostheimer-2025-challenging-assumptions-learning-generic-text
65. padhi-2020-learning-implicit-text-generation-feature
66. pang-2021-generative-text-modeling-through-short
67. raedt-2021-simple-geometric-method-cross-lingual
68. saedi-2020-large-scale-author-obfuscation-siamese
69. sha-2024-text-attribute-control-closed-loop
70. shah-2020-nlp-service-apis-models-efficient
71. singh-2025-let-s-play-across-cultures
72. song-2024-scale-vae-preventing-posterior-collapse
73. sreedhar-2020-learning-improvised-chatbots-adversarial-modifications
74. srivatsan-2019-deep-factorization-style-structure-fonts
75. stahlberg-2022-conciseness-overlooked-language-task
76. wang-2019-neural-gaussian-copula-variational-autoencoder
77. wang-2023-stylebart-decorate-pretrained-model-style
78. yang-2019-specificity-driven-cascading-approach-unsupervised
79. yang-2022-mask-regenerate-classifier-based-approach
80. yuan-2023-separating-context-pattern-learning-disentangled
81. yuan-2025-llm-loop-creating-paradehate-dataset
82. zandie-2023-cogen-abductive-commonsense-language-generation
83. zhang-2023-mediahg-rethinking-eye-catchy-features
84. zhang-2024-languageflow-advancing-diffusion-language-generation
85. zhao-2024-emotranskg-innovative-emotion-knowledge-graph

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