Generating Informative and Diverse Conversational Responses via Adversarial Information Maximization

NeurIPS 2018 Yizhe ZhangMichel GalleyJianfeng GaoZhe GanXiujun LiChris BrockettBill Dolan

Responses generated by neural conversational models tend to lack informativeness and diversity. We present Adversarial Information Maximization (AIM), an adversarial learning strategy that addresses these two related but distinct problems... (read more)

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