Dialogue Generation With GAN
Su, Hui (The Hong Kong Polytechnic University) | Shen, Xiaoyu (Max Planck Institute Informatics) | Hu, Pengwei (The Hong Kong Polytechnic University) | Li, Wenjie (The Hong Kong Polytechnic University) | Chen, Yun ( The University of Hong Kong )
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.
Feb-8-2018
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