mlsanityData to 7 Oct 2026

Formality Style Transfer with Hybrid Textual Annotations

arXiv 1903.06353 ↗First posted 15 Mar 2019cs.CLcited by 16

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Abstract (arXiv)

Formality style transformation is the task of modifying the formality of a given sentence without changing its content. Its challenge is the lack of large-scale sentence-aligned parallel data. In this paper, we propose an omnivorous model that takes parallel data and formality-classified data jointly to alleviate the data sparsity issue. We empirically demonstrate the effectiveness of our approach by achieving the state-of-art performance on a recently proposed benchmark dataset of formality transfer. Furthermore, our model can be readily adapted to other unsupervised text style transfer tasks like unsupervised sentiment transfer and achieve competitive results on three widely recognized benchmarks.

Key facts. Cited by 16 papers in the map (data through 7 Oct 2026). First posted on arXiv 15 Mar 2019.

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Citing papers per year: 2021: 5; 2022: 4; 2023: 3; 2024: 4.

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  1. 2021A Novel Estimator of Mutual Information for Learning to Disentangle Textual Representationscited by 37
  2. 2021Evaluating the Evaluation Metrics for Style Transfer: A Case Study in Multilingual Formality Transfercited by 23
  3. 2021A Review of Text Style Transfer using Deep Learningcited by 18
  4. 2022Text Revision by On-the-Fly Representation Optimizationcited by 17
  5. 2023Boosting Distress Support Dialogue Responses with Motivational Interviewing Strategycited by 15
  6. 2023STEER: Unified Style Transfer with Expert Reinforcementcited by 14
  7. 2021Improving Formality Style Transfer with Context-Aware Rule Injectioncited by 13
  8. 2024Counterfactual Generation with Identifiability Guaranteescited by 13
  9. 2022Semi-Supervised Formality Style Transfer with Consistency Trainingcited by 12
  10. 2024Distilling Text Style Transfer With Self-Explanation From LLMscited by 12
  11. 2022Extensible Prompts for Language Models on Zero-shot Language Style Customizationcited by 6
  12. 2021From Theories on Styles to their Transfer in Text: Bridging the Gap with a Hierarchical Surveycited by 5
4 more
  1. 2024Style Transfer with Multi-iteration Preference Optimizationcited by 4
  2. 2022Learning from Bootstrapping and Stepwise Reinforcement Reward: A Semi-Supervised Framework for Text Style Transfercited by 0
  3. 2023Text Fact Transfercited by 0
  4. 2024Formality Style Transfer in Persiancited by 0