Deep Learning for Text Style Transfer: A Survey

Jin, Di; Jin, Zhijing; Hu, Zhiting; Vechtomova, Olga; Mihalcea, Rada

doi:10.1162/coli_a_00426

Item

ITEM ACTIONSEXPORT

Add to Basket

Local TagsRelease HistoryDetailsSummary

Released

Journal Article

Deep Learning for Text Style Transfer: A Survey

MPS-Authors

/persons/resource/persons283647

Jin, Zhijing
Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society;
External Organizations;

External Resource

https://doi.org/10.1162/coli_a_00426
(Publisher version)

https://arxiv.org/abs/2011.00416
(Preprint)

Fulltext (restricted access)

There are currently no full texts shared for your IP range.

Fulltext (public)

There are no public fulltexts stored in PuRe

Supplementary Material (public)

There is no public supplementary material available

Citation

Jin, D., Jin, Z., Hu, Z., Vechtomova, O., & Mihalcea, R. (2022). Deep Learning for Text Style Transfer: A Survey. Computational linguistics, 48(1), 155-205. doi:10.1162/coli_a_00426.

Cite as: https://hdl.handle.net/21.11116/0000-000F-DE4A-5

Abstract

There is no abstract available