Who cites «Dear Sir or Madam, May I Introduce the GYAFC Dataset: Corpus, Benchmarks and Metrics for Formality Style Transfer» · page 3

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

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
Text Style Transfer: A Review and Experimental Evaluation — 2020 · arXiv:2010.12742 · KDD Explorations 24 (2022) 14-45
Unsupervised Text Style Transfer with Padded Masked Language Models — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
(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)
A Dual Reinforcement Learning Framework for Unsupervised Text Style Transfer — 2019 · arXiv:1905.10060
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)
Automatic Grammatical Error Correction for Sequence-to-sequence Text Generation: An Empirical Study — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
Controlling Neural Machine Translation Formality with Synthetic Supervision — 2019 · arXiv:1911.08706
Courteously Yours: Inducing courteous behavior in Customer Care responses using Reinforced Pointer Generator Network — 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)
Curate and Generate: A Corpus and Method for Joint Control of Semantics and Style in Neural NLG — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
Disentangled Representation Learning for Non-Parallel Text Style Transfer — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
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)
Encode, Tag, Realize: High-Precision Text Editing — 2019 · arXiv:1909.01187
Formality Style Transfer with Hybrid Textual Annotations — 2019 · arXiv:1903.06353
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
Harnessing Pre-Trained Neural Networks with Rules for Formality 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)
Negative Lexically Constrained Decoding for Paraphrase Generation — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
PoMo: Generating Entity-Specific Post-Modifiers in Context — 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)
Semi-supervised Text Style Transfer: Cross Projection in Latent Space — 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)
Sequence-to-sequence Pre-training with Data Augmentation for Sentence Rewriting — 2019 · arXiv:1909.06002
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)
The Daunting Task of Real-World Textual Style Transfer Auto-Evaluation — 2019 · arXiv:1910.03747
Towards Content Transfer through Grounded Text Generation — 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)
Unsupervised Evaluation Metrics and Learning Criteria for Non-Parallel Textual Transfer — 2019 · Proceedings of the 3rd Workshop on Neural Generation and Translation
``My Way of Telling a Story'''': Persona based Grounded Story Generation — 2019 · Proceedings of the Second Workshop on Storytelling
``Transforming'''' Delete, Retrieve, Generate Approach for Controlled 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)
Can Neural Generators for Dialogue Learn Sentence Planning and Discourse Structuring? — 2018 · Proceedings of the 11th International Conference on Natural Language Generation
Characterizing Variation in Crowd-Sourced Data for Training Neural Language Generators to Produce Stylistically Varied Outputs — 2018 · Proceedings of the 11th International Conference on Natural Language Generation
Controlling Personality-Based Stylistic Variation with Neural Natural Language Generators — 2018 · Proceedings of the 19th Annual SIGdial Meeting on Discourse and Dialogue
Multi-Task Neural Models for Translating Between Styles Within and Across Languages — 2018 · Proceedings of the 27th International Conference on Computational Linguistics
What is wrong with style transfer for texts? — 2018 · arXiv:1808.04365