Dialogue Generation With GAN

Hui Su, Xiaoyu Shen, Pengwei Hu, Wenjie Li, Yun Chen

Abstract: This paper presents a Generative Adversarial Network (GAN) to model multiturn dialogue generation, which trains a latent hierarchical recurrent encoder-decoder simultaneously with a discriminative classifier that make the prior approximate to the posterior. Experiments show that our model achieves better results.