Who cites «Delete, Retrieve, Generate: A Simple Approach to Sentiment and Style Transfer» · page 2

305 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. ← the card

A Study on Manual and Automatic Evaluation for Text Style Transfer: The Case of Detoxification — 2022 · Proceedings of the 2nd Workshop on Human Evaluation of NLP Systems (HumEval)
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
Conciseness: An Overlooked Language Task — 2022 · Proceedings of the Workshop on Text Simplification, Accessibility, and Readability (TSAR-2022)
Controllable Dictionary Example Generation: Generating Example Sentences for Specific Targeted Audiences — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Controllable Text Generation for All Ages: Evaluating a Plug-and-Play Approach to Age-Adapted Dialogue — 2022 · Proceedings of the Second Workshop on Natural Language Generation, Evaluation, and Metrics (GEM)
Controlled Text Generation Using Dictionary Prior in Variational Autoencoders — 2022 · Findings of the Association for Computational Linguistics: ACL 2022
Deep Learning for Text Style Transfer: A Survey — 2022 · Computational Linguistics
Disentangled Learning of Stance and Aspect Topics for Vaccine Attitude Detection in Social Media — 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
Diverse Parallel Data Synthesis for Cross-Database Adaptation of Text-to-SQL Parsers — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
Domain Confused Contrastive Learning for Unsupervised Domain Adaptation — 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
Don''t Take It Literally: An Edit-Invariant Sequence Loss for Text Generation — 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
Exploiting Social Media Content for Self-Supervised Style Transfer — 2022 · Proceedings of the Tenth International Workshop on Natural Language Processing for Social Media
Generative Cross-Domain Data Augmentation for Aspect and Opinion Co-Extraction — 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
Gradient-guided Unsupervised Text Style Transfer via Contrastive Learning — 2022 · arXiv:2202.00469
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)
Incorporating Subjectivity into Gendered Ambiguous Pronoun (GAP) Resolution using Style Transfer — 2022 · Proceedings of the 4th Workshop on Gender Bias in Natural Language Processing (GeBNLP)
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
Less is More: Learning to Refine Dialogue History for Personalized Dialogue Generation — 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
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
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
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
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
On Text Style Transfer via Style Masked Language Models — 2022 · arXiv:2210.06394
One-Teacher and Multiple-Student Knowledge Distillation on Sentiment Classification — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
ParaDetox: Detoxification with Parallel Data — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Paraphrase Generation as Unsupervised Machine Translation — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
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
Replacing Language Model for Style Transfer — 2022 · arXiv:2211.07343
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
Stylized Knowledge-Grounded Dialogue Generation via Disentangled Template Rewriting — 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
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
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 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
Text Style Transferring via Adversarial Masking and Styled Filling — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
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
What Makes Good In-Context Examples for GPT-3? — 2022 · Proceedings of Deep Learning Inside Out (DeeLIO 2022): The 3rd Workshop on Knowledge Extraction and Integration for Deep Learning Architectures
``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 Novel Estimator of Mutual Information for Learning to Disentangle Textual Representations — 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 Simple Geometric Method for Cross-Lingual Linguistic Transformations with Pre-trained Autoencoders — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
Acquiring a Formality-Informed Lexical Resource for Style Analysis — our card · 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume
Automatic Document Sketching: Generating Drafts from Analogous Texts — 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
Challenging the Semi-Supervised VAE Framework for Text Classification — 2021 · Proceedings of the Second Workshop on Insights from Negative Results in NLP
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
Contrastive Representation Learning for Exemplar-Guided Paraphrase Generation — 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021
DExperts: Decoding-Time Controlled Text Generation with Experts and Anti-Experts — 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)
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
ENTRUST: Argument Reframing with Language Models and Entailment — 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
Empirical Evaluation of Supervision Signals for Style Transfer Models — 2021 · arXiv:2101.06172
Enhancing Content Preservation in Text Style Transfer Using Reverse Attention and Conditional Layer Normalization — 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)
Explaining NLP Models via Minimal Contrastive Editing (MiCE) — 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
Exploring Non-Autoregressive Text Style Transfer — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
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
Idiomatic Expression Paraphrasing without Strong Supervision — 2021 · arXiv:2112.08592
Improving Automated Evaluation of Open Domain Dialog via Diverse Reference Augmentation — 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
Jibes & Delights: A Dataset of Targeted Insults and Compliments to Tackle Online Abuse — 2021 · Proceedings of the 5th Workshop on Online Abuse and Harms (WOAH 2021)
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
Modulating Language Models with Emotions — 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
Multi-Pair Text Style Transfer for Unbalanced Data via Task-Adaptive Meta-Learning — 2021 · Proceedings of the 1st Workshop on Meta Learning and Its Applications to Natural Language Processing
Multi-Pair Text Style Transfer on Unbalanced Data — 2021 · arXiv:2106.10608
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
Neural Stylistic Response Generation with Disentangled Latent Variables — 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)
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)
Parallel Refinements for Lexically Constrained Text Generation with BART — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
Predicting Antonyms in Context using BERT — 2021 · Proceedings of the 14th International Conference on Natural Language Generation
Preventing Author Profiling through Zero-Shot Multilingual Back-Translation — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
Profanity-Avoiding Training Framework for Seq2seq Models with Certified Robustness — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
Re-embedding Difficult Samples via Mutual Information Constrained Semantically Oversampling for Imbalanced Text Classification — 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
Self-Supervised Knowledge Assimilation for Expert-Layman Text Style Transfer — 2021 · arXiv:2110.02950
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)
Taking Things Personally: Third Person to First Person Rephrasing — 2021 · Proceedings of the 3rd Workshop on Natural Language Processing for Conversational AI
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)
Text as Causal Mediators: Research Design for Causal Estimates of Differential Treatment of Social Groups via Language Aspects — 2021 · Proceedings of the First Workshop on Causal Inference and NLP
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
Transferable Persona-Grounded Dialogues via Grounded Minimal Edits — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
Unsupervised Text Style Transfer with Content Embeddings — 2021 · Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2021)
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