Enhancing Content Preservation in Text Style Transfer Using Reverse Attention and Conditional Layer Normalization

Text style transfer aims to alter the style (e.g., sentiment) of a sentence while preserving its content. A common approach is to map a given sentence to content representation that is free of style, and the content representation is fed to a decoder with a target style. Previous methods in filterin...

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Hauptverfasser:	Lee, Dongkyu, Tian, Zhiliang, Xue, Lanqing, Zhang, Nevin L
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Artificial Intelligence Computer Science - Computation and Language
Online-Zugang:	Volltext bestellen
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