Who cites «Dear Sir or Madam, May I Introduce the GYAFC Dataset: Corpus, Benchmarks and Metrics for Formality Style Transfer» · page 2
- A Recipe for Arbitrary Text Style Transfer with Large Language Models — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
- 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
- BERT in Plutarch's Shadows — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
- BeamR: Beam Reweighing with Attribute Discriminators for Controllable Text Generation — 2022 · Findings of the Association for Computational Linguistics: AACL-IJCNLP 2022
- CoCoA-MT: A Dataset and Benchmark for Contrastive Controlled MT with Application to Formality — 2022 · Findings of the Association for Computational Linguistics: NAACL 2022
- CoCoa: An Encoder-Decoder Model for Controllable Code-switched Generation — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
- Construction and Validation of a Japanese Honorific Corpus Based on Systemic Functional Linguistics — 2022 · Proceedings of the Workshop on Dataset Creation for Lower-Resourced Languages within the 13th Language Resources and Evaluation Conference
- 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
- Exploring Cross-lingual Text Detoxification with Large Multilingual Language Models. — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop
- Exploring Cross-lingual Textual Style Transfer with Large Multilingual Language Models — 2022 · arXiv:2206.02252
- He Said, She Said: Style Transfer for Shifting the Perspective of Dialogues — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
- Human Judgement as a Compass to Navigate Automatic Metrics for Formality Transfer — 2022 · Proceedings of the 2nd Workshop on Human Evaluation of NLP Systems (HumEval)
- Improving Iterative Text Revision by Learning Where to Edit from Other Revision Tasks — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
- Improving Machine Translation Formality Control with Weakly-Labelled Data Augmentation and Post Editing Strategies — 2022 · Proceedings of the 19th International Conference on Spoken Language Translation (IWSLT 2022)
- Inducing Positive Perspectives with Text Reframing — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Learning from Bootstrapping and Stepwise Reinforcement Reward: A Semi-Supervised Framework for Text Style Transfer — 2022 · Findings of the Association for Computational Linguistics: NAACL 2022
- 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
- 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)
- Multi-Figurative Language Generation — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
- Multilingual Pre-training with Language and Task Adaptation for Multilingual Text Style Transfer — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
- Non-Parallel Text Style Transfer with Self-Parallel Supervision — 2022 · arXiv:2204.08123
- ParaDetox: Detoxification with Parallel Data — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- 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
- Replacing Language Model for Style Transfer — 2022 · arXiv:2211.07343
- 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
- Same Author or Just Same Topic? Towards Content-Independent Style Representations — 2022 · Proceedings of the 7th Workshop on Representation Learning for NLP
- Semi-Supervised Formality Style Transfer with Consistency Training — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- SimpleStyle: An Adaptable Style Transfer Approach — 2022 · arXiv:2212.10498
- So Different Yet So Alike! Constrained Unsupervised Text Style Transfer — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- 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
- 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
- Text Revision by On-the-Fly Representation Optimization — 2022 · Proceedings of the First Workshop on Intelligent and Interactive Writing Assistants (In2Writing 2022)
- 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
- 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
- TextBox 2.0: A Text Generation Library with Pre-trained Language Models — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: System Demonstrations
- TyDiP: A Dataset for Politeness Classification in Nine Typologically Diverse Languages — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
- ``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 Recipe For Arbitrary Text Style Transfer with Large Language Models — 2021 · arXiv:2109.03910
- A Review of Text Style Transfer using Deep Learning — 2021 · arXiv:2109.15144 · IEEE Transactions on Artificial Intelligence (TAI), (2021)
- 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
- Collaborative Learning of Bidirectional Decoders for Unsupervised Text Style Transfer — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
- 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
- Does It Capture STEL? A Modular, Similarity-based Linguistic Style Evaluation Framework — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
- Edit Distance Based Curriculum Learning for Paraphrase Generation — 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing: Student Research Workshop
- Empirical Evaluation of Supervision Signals for Style Transfer Models — 2021 · arXiv:2101.06172
- Evaluating the Evaluation Metrics for Style Transfer: A Case Study in Multilingual Formality Transfer — our card · 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
- Exploring Non-Autoregressive Text Style Transfer — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
- FUDGE: Controlled Text Generation With Future Discriminators — 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
- 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
- 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)
- Methods for Detoxification of Texts for the Russian Language — 2021 · arXiv:2105.09052
- 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
- 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
- NAST: A Non-Autoregressive Generator with Word Alignment for Unsupervised Text Style Transfer — 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
- 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
- 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
- PIE: A Parallel Idiomatic Expression Corpus for Idiomatic Sentence Generation and Paraphrasing — 2021 · Proceedings of the 17th Workshop on Multiword Expressions (MWE 2021)
- SE-DAE: Style-Enhanced Denoising Auto-Encoder for Unsupervised Text Style Transfer — 2021 · arXiv:2104.12977
- Self-Supervised Knowledge Assimilation for Expert-Layman Text Style Transfer — 2021 · arXiv:2110.02950
- Style is NOT a single variable: Case Studies for Cross-Stylistic Language Understanding — 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)
- 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
- Syntax Matters! Syntax-Controlled in Text Style Transfer — 2021 · Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2021)
- Text Detoxification using Large Pre-trained Neural Models — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
- Text Style Transfer: Leveraging a Style Classifier on Entangled Latent Representations — 2021 · Proceedings of the 6th Workshop on Representation Learning for NLP (RepL4NLP-2021)
- 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)
- The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics — 2021 · Proceedings of the First Workshop on Natural Language Generation, Evaluation, and Metrics (GEM)
- The Perils of Using Mechanical Turk to Evaluate Open-Ended Text Generation — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
- Time-Aware Ancient Chinese Text Translation and Inference — 2021 · Proceedings of the 2nd International Workshop on Computational Approaches to Historical Language Change 2021
- Transductive Learning for Unsupervised Text Style Transfer — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
- Transferable Persona-Grounded Dialogues via Grounded Minimal Edits — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
- VAE based Text Style Transfer with Pivot Words Enhancement Learning — 2021 · Proceedings of the 18th International Conference on Natural Language Processing (ICON)
- WIKIBIAS: Detecting Multi-Span Subjective Biases in Language — 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021
- XFORMAL: A Benchmark for Multilingual Formality Style Transfer — 2021 · arXiv:2104.04108
- 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
- Automated Evaluation of Writing – 50 Years and Counting — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
- Contextual Text Style Transfer — 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020
- Data Boost: Text Data Augmentation Through Reinforcement Learning Guided Conditional Generation — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
- 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
- Exploring Controllable Text Generation Techniques — 2020 · Proceedings of the 28th International Conference on Computational Linguistics
- Facilitating the Communication of Politeness through Fine-Grained Paraphrasing — our card · 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
- Formality Style Transfer with Shared Latent Space — 2020 · Proceedings of the 28th International Conference on Computational Linguistics
- Invisible to People but not to Machines: Evaluation of Style-aware HeadlineGeneration in Absence of Reliable Human Judgment — 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference
- Multi-resolution Annotations for Emoji Prediction — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
- On the interaction of automatic evaluation and task framing in headline style transfer — 2020 · Proceedings of the 1st Workshop on Evaluating NLG Evaluation
- PGST: a Polyglot Gender Style Transfer method — 2020 · arXiv:2009.01040
- 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
- PowerTransformer: Unsupervised Controllable Revision for Biased Language Correction — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
- Reformulating Unsupervised Style Transfer as Paraphrase Generation — our card · 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
- Reinforced Rewards Framework for Text Style Transfer — 2020 · arXiv:2005.05256
- ST$^2$: Small-data Text Style Transfer via Multi-task Meta-Learning — 2020 · arXiv:2004.11742
- Semi-Supervised Low-Resource Style Transfer of Indonesian Informal to Formal Language with Iterative Forward-Translation — 2020 · arXiv:2011.03286
- Story-level Text Style Transfer: A Proposal — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop
- Style-transfer and Paraphrase: Looking for a Sensible Semantic Similarity Metric — 2020 · arXiv:2004.05001
- Stylized Text Generation: Approaches and Applications — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: Tutorial Abstracts
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