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.
翻译:在响应生成任务中,适当的情感表达方式显然可以提高应对措施的类似人的水平。 但是,对于在线系统的实际应用,需要高QPS(每秒询问一次,在线系统流动能力的一个指标 ), 并且一个动态词汇机制已被证明可用于提高变异模型的速度。 在本文中,我们提出了一个基于动态词汇机制的情感控制对话响应模式,实验结果显示了这一模式的好处。