Semi-Supervised Formality Style Transfer
1 papers with code • 0 benchmarks • 0 datasets
Semi-Supervised Formality Style Transfer
Benchmarks
These leaderboards are used to track progress in Semi-Supervised Formality Style Transfer
Most implemented papers
Semi-supervised Formality Style Transfer using Language Model Discriminator and Mutual Information Maximization
GT-SALT/FormalityStyleTransfer
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Findings of the Association for Computational Linguistics 2020
Formality style transfer is the task of converting informal sentences to grammatically-correct formal sentences, which can be used to improve performance of many downstream NLP tasks.
