基于知识图谱波纹网络的人机交互模型

针对当前人机交互系统机器人存在背景知识缺乏、回复连贯性不高的问题,该文提出一种基于知识图谱波纹网络的人机交互模型.为实现更加自然且智能化的人机交互系统,该文模型模拟了真实的人与人交流过程.首先,通过计算人机交互情感评估值和人机交互情感确信度得到人机交互情感友好度.然后,引入外部知识图谱作为机器人的背景知识,将对话实体嵌...

Human-computer Interaction Model Based on Knowledge Graph Ripple Network

To solve the problems of lack of background knowledge and poor consistency of robot response in the existing human-computer interaction, a human-computer interaction model based on the ripple network of knowledge graph is proposed. In order to achieve a more natural and intelligent human-computer interaction system, this model simulates the real human-human interaction process. Firstly, the human-computer interaction affective friendliness is obtained by calculating the human-computer interaction emotional evaluation value and the human-computer interaction emotional certainty degree. Then, the external knowledge graph is introduced as the background knowledge of robots, and the dialogue entity is embedded into the ripple network of knowledge graph to obtain the potential interested entity content of the participants. Finally, considering the emotional friendliness and content friendliness, the robot response is given. The experimental results show that, compared with other models, robots that have background knowledge and consider emotional friendliness improve emotionality and coherence when interacting with human.