Who cites «Style Transfer from Non-Parallel Text by Cross-Alignment» · page 2
385 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. ← the card
- Text Fact Transfer — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
- The Shifted and The Overlooked: A Task-oriented Investigation of User-GPT Interactions — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
- Translating away Translationese without Parallel Data — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
- Unsupervised Style Transfer in News Headlines via Discrete Style Space — 2023 · Proceedings of the 22nd Chinese National Conference on Computational Linguistics
- Unsupervised Text Style Transfer with Deep Generative Models — 2023 · arXiv:2308.16584
- ViPE: Visualise Pretty-much Everything — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
- 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
- Audience-Centric Natural Language Generation via Style Infusion — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
- AutoCAD: Automatically Generate Counterfactuals for Mitigating Shortcut Learning — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
- Bag-of-Vectors Autoencoders for Unsupervised Conditional Text Generation — 2022 · Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)
- CTRLEval: An Unsupervised Reference-Free Metric for Evaluating Controlled Text Generation — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Challenges and Strategies in Cross-Cultural NLP — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Computational Sarcasm Analysis on Social Media: A Systematic Review — 2022 · arXiv:2209.06170
- 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)
- Deep Learning for Text Style Transfer: A Survey — 2022 · Computational Linguistics
- 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
- Every picture tells a story: Image-grounded controllable stylistic story generation — 2022 · Proceedings of the 6th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature
- 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
- Extracting Latent Steering Vectors from Pretrained Language Models — 2022 · Findings of the Association for Computational Linguistics: ACL 2022
- 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)
- 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 Text Simplification with Factuality Error Detection — 2022 · Proceedings of the Workshop on Text Simplification, Accessibility, and Readability (TSAR-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
- Learning to Model Editing Processes — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
- Let the CAT out of the bag: Contrastive Attributed explanations for Text — 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
- MPII: Multi-Level Mutual Promotion for Inference and Interpretation — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- MReD: A Meta-Review Dataset for Structure-Controllable Text Generation — 2022 · Findings of the Association for Computational Linguistics: ACL 2022
- 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
- Metric-guided Distillation: Distilling Knowledge from the Metric to Ranker and Retriever for Generative Commonsense Reasoning — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
- 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)
- NEWTS: A Corpus for News Topic-Focused Summarization — 2022 · Findings of the Association for Computational Linguistics: ACL 2022
- 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
- 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
- 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
- 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 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
- 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
- Towards Unifying the Label Space for Aspect- and Sentence-based Sentiment Analysis — 2022 · Findings of the Association for Computational Linguistics: ACL 2022
- Translate-Train Embracing Translationese Artifacts — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
- Using Structured Content Plans for Fine-grained Syntactic Control in Pretrained Language Model Generation — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
- ``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)
- 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
- APo-VAE: Text Generation in Hyperbolic Space — 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
- 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
- AgreeSum: Agreement-Oriented Multi-Document Summarization — 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
- Auto-encodeurs variationnels : contrecarrer le problème de posterior collapse grâce à la régularisation du décodeur (Variational auto-encoders : prevent posterior collapse via decoder regularization) — 2021 · Actes de la 28e Conférence sur le Traitement Automatique des Langues Naturelles. Volume 1 : conférence principale
- Break-It-Fix-It: Unsupervised Learning for Program Repair — 2021 · arXiv:2106.06600
- 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
- Combining Curriculum Learning and Knowledge Distillation for Dialogue Generation — 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
- Contextualizing Variation in Text Style Transfer Datasets — 2021 · Proceedings of the 14th International Conference on Natural Language Generation
- Contrapositive Local Class Inference — 2021 · Proceedings of the Seventh Workshop on Noisy User-generated Text (W-NUT 2021)
- Controllable Neural Dialogue Summarization with Personal Named Entity Planning — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
- Controlled Neural Sentence-Level Reframing of News Articles — 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021
- 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
- Disentangling Generative Factors in Natural Language with Discrete Variational Autoencoders — 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021
- Distilling Word Meaning in Context from Pre-trained Language Models — 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021
- 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
- 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)
- Exploring Non-Autoregressive Text Style Transfer — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
- FlowPrior: Learning Expressive Priors for Latent Variable Sentence Models — 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
- GTAE: Graph-Transformer based Auto-Encoders for Linguistic-Constrained Text Style Transfer — 2021 · arXiv:2102.00769
- Generating Syntactically Controlled Paraphrases without Using Annotated Parallel Pairs — 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume
- Generative Text Modeling through Short Run Inference — 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume
- 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
- 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
- Math Word Problem Generation with Mathematical Consistency and Problem Context Constraints — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
- 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-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
- Multimodal Text Style Transfer for Outdoor Vision-and-Language Navigation — 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
- 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