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In response generation task, proper sentimental expressions can obviouslyimprove the human-like level of the responses. However, for real application inonline systems, high QPS (queries per second, an indicator of the flow capacityof on-line systems) is required, and a dynamic vocabulary mechanism has beenproved available in improving speed of generative models. In this paper, weproposed an emotion-controlled dialog response generation model based on thedynamic vocabulary mechanism, and the experimental results show the benefit ofthis model.

An Emotion-controlled Dialog Response Generation Model with Dynamic Vocabulary