  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.
