Semi-Supervised Formality Style Transfer

1 papers with code • 0 benchmarks • 0 datasets

Semi-Supervised Formality Style Transfer

Most implemented papers

Semi-supervised Formality Style Transfer using Language Model Discriminator and Mutual Information Maximization

GT-SALT/FormalityStyleTransfer 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.