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  Deep Learning for Text Style Transfer: A Survey

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.

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Item Permalink: https://hdl.handle.net/21.11116/0000-000F-DE4A-5 Version Permalink: https://hdl.handle.net/21.11116/0000-000F-DE4B-4
Genre: Journal Article

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Locator:
https://doi.org/10.1162/coli_a_00426 (Publisher version)
Description:
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OA-Status:
Gold
Locator:
https://arxiv.org/abs/2011.00416 (Preprint)
Description:
-
OA-Status:
Green

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 Creators:
Jin, Di1, Author
Jin, Zhijing1, 2, Author           
Hu, Zhiting 1, Author
Vechtomova, Olga1, Author
Mihalcea, Rada1, Author
Affiliations:
1External Organizations, ou_persistent22              
2Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society, ou_1497647              

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Free keywords: Abt. Schölkopf
 Abstract: -

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Language(s): eng - English
 Dates: 2022-03
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: BibTex Citekey: Jinetal20b
DOI: 10.1162/coli_a_00426
arXiv: 2011.00416
 Degree: -

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Title: Computational linguistics
  Other : American journal of computational linguistics
  Abbreviation : CompL
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: Cambridge, MA : MIT Press
Pages: - Volume / Issue: 48 (1) Sequence Number: - Start / End Page: 155 - 205 Identifier: ISSN: 0891-2017
ISSN: 1530-9312
CoNE: https://pure.mpg.de/cone/journals/resource/15309312