Adversarial Generation of Dialog with contextual information

Generative models such as Seq2Seq, HRED, VHRED models have typically been able to generate dialog responses over short contexts. Recently, researchers are investigating the possibility of using Generative Adversarial Networks to enhance these generative models to generate proper responses. Our work is to investigate the role of context and to possibly train and enhance generative models with adversarial training to be able to handle varied contexts.