An Emotion-controlled Dialog Response Generation Model with Dynamic Vocabulary

Song, Shuangyong, Wang, Kexin, Wang, Chao, Chen, Haiqing, Chen, Huan

arXiv.org Artificial Intelligence 

In response generation task, proper sentimental expressions can obviously improve the human-like level of the responses. However, for real application in online systems, high QPS (queries per second, an indicator of the flow capacity of on-line systems) is required, and a dynamic vocabulary mechanism has been proved available in improving speed of generative models. In this paper, we proposed an emotion-controlled dialog response generation model based on the dynamic vocabulary mechanism, and the experimental results show the benefit of this model.

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