Who cites «Reformulating Unsupervised Style Transfer as Paraphrase Generation» · page 2
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- 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)
- Human-Machine Collaboration Approaches to Build a Dialogue Dataset for Hate Speech Countering — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
- HydraSum: Disentangling Style Features in Text Summarization with Multi-Decoder Models — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
- Improving Factual Consistency in Summarization with Compression-Based Post-Editing — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
- 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
- Low-Resource Authorship Style Transfer: Can Non-Famous Authors Be Imitated? — our card · 2022 · arXiv:2212.08986
- MOVER: Mask, Over-generate and Rank for Hyperbole Generation — 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
- Machine-in-the-Loop Rewriting for Creative Image Captioning — 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
- Mask and Regenerate: A Classifier-based Approach for Unpaired Sentiment Transformation of Reviews for Electronic Commerce Websites. — 2022 · Proceedings of the Tenth International Workshop on Natural Language Processing for Social Media
- 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)
- Non-Parallel Text Style Transfer with Self-Parallel Supervision — 2022 · arXiv:2204.08123
- On The Ingredients of an Effective Zero-shot Semantic Parser — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- PEPDS: A Polite and Empathetic Persuasive Dialogue System for Charity Donation — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
- PINEAPPLE: Personifying INanimate Entities by Acquiring Parallel Personification Data for Learning Enhanced Generation — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
- ParaZh-22M: A Large-Scale Chinese Parabank via Machine Translation — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
- Paraphrasing Techniques for Maritime QA system — 2022 · arXiv:2203.10854
- Paraphrastic Representations at Scale — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: System Demonstrations
- 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
- RLPrompt: Optimizing Discrete Text Prompts with Reinforcement Learning — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
- ROSCOE: A Suite of Metrics for Scoring Step-by-Step Reasoning — 2022 · arXiv:2212.07919
- 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
- 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
- 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
- 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
- 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
- UCTopic: Unsupervised Contrastive Learning for Phrase Representations and Topic Mining — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- VALUE: Understanding Dialect Disparity in NLU — our card · 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- arXivEdits: Understanding the Human Revision Process in Scientific Writing — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
- A Recipe For Arbitrary Text Style Transfer with Large Language Models — 2021 · arXiv:2109.03910
- Beyond Grammatical Error Correction: Improving L1-influenced research writing in English using pre-trained encoder-decoder models — 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021
- 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
- Controlling Machine Translation for Multiple Attributes with Additive Interventions — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
- ConvFiT: Conversational Fine-Tuning of Pretrained Language Models — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
- 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
- Don''t Go Far Off: An Empirical Study on Neural Poetry Translation — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
- 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
- Fundamental Exploration of Evaluation Metrics for Persona Characteristics of Text Utterances — 2021 · Proceedings of the 22nd Annual Meeting of the Special Interest Group on Discourse and Dialogue
- IGA: An Intent-Guided Authoring Assistant — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
- Idiomatic Expression Paraphrasing without Strong Supervision — 2021 · arXiv:2112.08592
- LEWIS: Levenshtein Editing for Unsupervised Text Style Transfer — 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
- 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
- Mitigating Data Scarceness through Data Synthesis, Augmentation and Curriculum for Abstractive Summarization — 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021
- Multi-granularity Textual Adversarial Attack with Behavior Cloning — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
- 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
- Phrase-BERT: Improved Phrase Embeddings from BERT with an Application to Corpus Exploration — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
- Preventing Author Profiling through Zero-Shot Multilingual Back-Translation — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
- Rethinking Sentiment Style Transfer — 2021 · Findings of the Association for Computational Linguistics: EMNLP 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
- Text Detoxification using Large Pre-trained Neural Models — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
- 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)
- 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
- Transductive Learning for Unsupervised Text Style Transfer — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
- XFORMAL: A Benchmark for Multilingual Formality Style Transfer — 2021 · arXiv:2104.04108
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