论文标题

DGST:用于文本样式传输的双摄影仪网络

DGST: a Dual-Generator Network for Text Style Transfer

论文作者

Li, Xiao, Chen, Guanyi, Lin, Chenghua, Li, Ruizhe

论文摘要

我们提出了DGST,这是一种用于文本样式传输的新颖而简单的双生成网络架构。我们的模型仅采用两个发电机,并且不依赖任何歧视者或平行语料库进行培训。 Yelp和IMDB数据集上的定量和定性实验都表明,与具有更复杂体系结构设计的几个强大基线相比,我们的模型具有竞争性能。

We propose DGST, a novel and simple Dual-Generator network architecture for text Style Transfer. Our model employs two generators only, and does not rely on any discriminators or parallel corpus for training. Both quantitative and qualitative experiments on the Yelp and IMDb datasets show that our model gives competitive performance compared to several strong baselines with more complicated architecture designs.

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