UGAN: Unified Generative Adversarial Networks for Multidirectional Text Style Transfer

Recently, text style transfer has become a very hot research topic in the field of natural language processing. However, the conventional text style transfer is unidirectional, and it is not possible to obtain a model with multidirectional transformations through training once. To address this limit...

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Detalles Bibliográficos

Autores principales:	Wei Yu, Tao Chang, Xiaoting Guo, Xiaodong Wang, Bo Liu, Yang He
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	IEEE 2020-01-01
Colección:	IEEE Access
Materias:	Multidirectional text style transfer generative adversarial networks unified generative adversarial networks
Acceso en línea:	https://ieeexplore.ieee.org/document/9036960/
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