Flow-based Text Style Transfer Model

Objective In recent years, numerous style transfer methods in the text style transfer (TST) have relied on semi-supervised and unsupervised learning. The central concept of these methods involves mapping the text into a latent space, enabling the separation of content and style representations and f...

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Bibliographic Details
Main Authors: Zihan ZHANG, Jinqiao DAI, Pin YANG
Format: Article
Language:English
Published: Editorial Department of Journal of Sichuan University (Engineering Science Edition) 2025-01-01
Series:工程科学与技术
Subjects:
Online Access:http://jsuese.scu.edu.cn/thesisDetails#10.15961/j.jsuese.202200639
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