BriefGPT.xyz
Oct, 2020
StyleDGPT：基于预训练语言模型的文本风格化生成
StyleDGPT: Stylized Response Generation with Pre-trained Language Models
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Ze Yang, Wei Wu, Can Xu, Xinnian Liang, Jiaqi Bai...
TL;DR
通过在微调阶段引入KL损失和样式分类器，将响应生成引导到目标样式，可以在单词级和句子级上扭转并生成所需的样式，两个公共数据集的综合实证研究表明：我们的模型在样式一致性和上下文连贯性方面显着优于现有技术。
Abstract
Generating responses following a desired style has great potentials to extend applications of
open-domain dialogue systems
, yet is refrained by lacking of parallel data for training. In this work, we explore the challenging task with
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