Who cites «Shakespearizing Modern Language Using Copy-Enriched Sequence to Sequence Models»
- Text Style Transfer with Parameter-efficient LLM Finetuning and Round-trip Translation — 2026 · arXiv:2602.15013
- Colloquial Singaporean English Style Transfer with Fine-Grained Explainable Control — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Dynamic Steering With Episodic Memory For Large Language Models — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
- Learning Text Styles: A Study on Transfer, Attribution, and Verification — 2025 · arXiv:2507.16530
- Steering Large Language Models with Register Analysis for Arbitrary Style Transfer — 2025 · arXiv:2505.00679
- A Survey of Text Style Transfer: Applications and Ethical Implications — 2024 · arXiv:2407.16737
- Distilling Text Style Transfer With Self-Explanation From LLMs — 2024 · arXiv:2403.01106
- Emulating Author Style: A Feasibility Study of Prompt-enabled Text Stylization with Off-the-Shelf LLMs — 2024 · Proceedings of the 1st Workshop on Personalization of Generative AI Systems (PERSONALIZE 2024)
- MORL-Prompt: An Empirical Analysis of Multi-Objective Reinforcement Learning for Discrete Prompt Optimization — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
- Multilingual Text Style Transfer: Datasets & Models for Indian Languages — 2024 · arXiv:2405.20805
- Style Vectors for Steering Generative Large Language Models — 2024 · Findings of the Association for Computational Linguistics: EACL 2024
- Text Style Transfer: An Introductory Overview — 2024 · arXiv:2407.14822
- A Systematic Study of Knowledge Distillation for Natural Language Generation with Pseudo-Target Training — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Detoxifying Text with MaRCo: Controllable Revision with Experts and Anti-Experts — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
- FRMT: A Benchmark for Few-Shot Region-Aware Machine Translation — 2023 · Transactions of the Association for Computational Linguistics
- Fluency Matters! Controllable Style Transfer with Syntax Guidance — 2023 · Proceedings of the 13th Workshop on Computational Approaches to Subjectivity, Sentiment, & Social Media Analysis
- Leveraging Low-resource Parallel Data for Text Style Transfer — 2023 · Proceedings of the 16th International Natural Language Generation Conference
- Low-Resource Text Style Transfer for Bangla: Data & Models — 2023 · Proceedings of the First Workshop on Bangla Language Processing (BLP-2023)
- Specializing Small Language Models towards Complex Style Transfer via Latent Attribute Pre-Training — 2023 · arXiv:2309.10929
- Text Detoxification as Style Transfer in English and Hindi — 2023 · Proceedings of the 20th International Conference on Natural Language Processing (ICON)
- 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
- APPDIA: A Discourse-aware Transformer-based Style Transfer Model for Offensive Social Media Conversations — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
- Audience-Centric Natural Language Generation via Style Infusion — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
- BERT in Plutarch's Shadows — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
- Challenges and Strategies in Cross-Cultural NLP — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Deep Learning for Text Style Transfer: A Survey — 2022 · Computational Linguistics
- Exploiting Social Media Content for Self-Supervised Style Transfer — 2022 · Proceedings of the Tenth International Workshop on Natural Language Processing for Social Media
- Inducing Positive Perspectives with Text Reframing — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- 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
- 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
- RLPrompt: Optimizing Discrete Text Prompts with Reinforcement Learning — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
- 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
- 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
- StyleKQC: A Style-Variant Paraphrase Corpus for Korean Questions and Commands — 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference
- ``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
- 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)
- A Review of Text Style Transfer using Deep Learning — 2021 · arXiv:2109.15144 · IEEE Transactions on Artificial Intelligence (TAI), (2021)
- Contextualizing Variation in Text Style Transfer Datasets — 2021 · Proceedings of the 14th International Conference on Natural Language Generation
- 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
- 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
- ExT5: Towards Extreme Multi-Task Scaling for Transfer Learning — 2021 · arXiv:2111.10952
- Idiomatic Expression Paraphrasing without Strong Supervision — 2021 · arXiv:2112.08592
- 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)
- Metrical Tagging in the Wild: Building and Annotating Poetry Corpora with Rhythmic Features — 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume
- NAST: A Non-Autoregressive Generator with Word Alignment for Unsupervised Text Style Transfer — 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
- PIE: A Parallel Idiomatic Expression Corpus for Idiomatic Sentence Generation and Paraphrasing — 2021 · Proceedings of the 17th Workshop on Multiword Expressions (MWE 2021)
- 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
- 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)
- Unsupervised Text Style Transfer with Content Embeddings — 2021 · Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2021)
- 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
- A Probabilistic Formulation of Unsupervised Text Style Transfer — 2020 · arXiv:2002.03912
- An Empirical Study on Multi-Task Learning for Text Style Transfer and Paraphrase Generation — 2020 · Proceedings of the 28th International Conference on Computational Linguistics: Industry Track
- 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
- Context-Aware Automatic Text Simplification of Health Materials in Low-Resource Domains — 2020 · Proceedings of the 11th International Workshop on Health Text Mining and Information Analysis
- Contextual Text Style Transfer — 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020
- Expertise Style Transfer: A New Task Towards Better Communication between Experts and Laymen — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
- How Positive Are You: Text Style Transfer using Adaptive Style Embedding — 2020 · Proceedings of the 28th International Conference on Computational Linguistics
- Learning to Generate Multiple Style Transfer Outputs for an Input Sentence — 2020 · Proceedings of the Fourth Workshop on Neural Generation and Translation
- Lost in Back-Translation: Emotion Preservation in Neural Machine Translation — 2020 · Proceedings of the 28th International Conference on Computational Linguistics
- Parallel Data Augmentation for Formality Style Transfer — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
- Politeness Transfer: A Tag and Generate Approach — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
- Reinforced Rewards Framework for Text Style Transfer — 2020 · arXiv:2005.05256
- Semi-Supervised Low-Resource Style Transfer of Indonesian Informal to Formal Language with Iterative Forward-Translation — 2020 · arXiv:2011.03286
- Semi-supervised Formality Style Transfer using Language Model Discriminator and Mutual Information Maximization — 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020
- Story-level Text Style Transfer: A Proposal — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop
- Text Style Transfer: A Review and Experimental Evaluation — 2020 · arXiv:2010.12742 · KDD Explorations 24 (2022) 14-45
- (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)
- 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)
- 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)
- Generating Formality-Tuned Summaries Using Input-Dependent Rewards — 2019 · Proceedings of the 23rd Conference on Computational Natural Language Learning (CoNLL)
- Grammatical Error Correction and Style Transfer via Zero-shot Monolingual Translation — 2019 · arXiv:1903.11283
- 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)
- Low Level Linguistic Controls for Style Transfer and Content Preservation — 2019 · Proceedings of the 12th International Conference on Natural Language Generation
- Negative Lexically Constrained Decoding for Paraphrase Generation — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
- 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)
- 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)
- Dear Sir or Madam, May I Introduce the GYAFC Dataset: Corpus, Benchmarks and Metrics for Formality Style Transfer — our card · 2018 · Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers)
- Multi-Task Neural Models for Translating Between Styles Within and Across Languages — 2018 · Proceedings of the 27th International Conference on Computational Linguistics
- Polite Dialogue Generation Without Parallel Data — 2018
- QuaSE: Accurate Text Style Transfer under Quantifiable Guidance — 2018 · arXiv:1804.07007
- QuaSE: Sequence Editing under Quantifiable Guidance — 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing
- Sentiment Transfer using Seq2Seq Adversarial Autoencoders — 2018 · arXiv:1804.04003
- What is wrong with style transfer for texts? — 2018 · arXiv:1808.04365
- Evaluating prose style transfer with the Bible — our card · 2017 · arXiv:1711.04731 · Royal Society open science 5.10 (2018): 171920
- Style Transfer in Text: Exploration and Evaluation — 2017 · arXiv:1711.06861
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