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.

中文翻译：

---

具有动态词汇的情绪控制对话响应生成模型

在响应生成任务中，适当的情感表达可以明显提高响应的人性化水平。然而，对于在线系统中的实际应用，需要高QPS（每秒查询数，在线系统流量的指标），并且动态词汇机制已被证明可用于提高生成模型的速度。本文提出了一种基于动态词汇机制的情绪控制对话响应生成模型，实验结果表明了该模型的优越性。