BriefGPT.xyz
Oct, 2018
无需强化学习的对抗文本生成
Adversarial Text Generation Without Reinforcement Learning
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David Donahue, Anna Rumshisky
TL;DR
本文利用自编码器生成低维度语句向量空间,再用生成对抗网络利用这个空间生成真实文本,与竞争基线相比,经人工审核和BLEU分数表明模型可以生成逼真的文本。
Abstract
generative adversarial networks
(GANs) have experienced a recent surge in popularity, performing competitively in a variety of tasks, especially in computer vision. However, GAN training has shown limited success in
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