基于知识图谱波纹网络的人机交互模型  

Human-computer Interaction Model Based on Knowledge Graph Ripple Network

作　　者：黄宏程[1,2] 廖强 胡敏 陶洋[1,2] 寇兰[1] HUANG Hongcheng;LIAO Qiang;HU Min;TAO Yang;KOU Lan(School of Communication and Information Engineering,Chongqing University of Posts and Telecommunications,Chongqing 400065,China;Chongqing Engineering Research Center of Communication Software,Chongqing 400065,China)

机构地区：[1]重庆邮电大学通信与信息工程学院,重庆400065 [2]重庆市通信软件工程技术研究中心,重庆400065

出　　处：《电子与信息学报》2022年第1期221-229,共9页Journal of Electronics & Information Technology

基　　金：国家重点研发计划(2019YFB2102001);国家自然科学基金(61871062)。

摘　　要：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,将对话实体嵌入知识图谱波纹网络获取参与人潜在的感兴趣的实体内容。最后,综合考量情感友好度和内容友好度给出机器人回复。实验结果表明,与对比模型相比,拥有背景知识且加入情感度量的机器人在进行人机交互时,其情感友好度与连贯性能够得到有效提升。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.

关 键 词：人机交互 背景知识 情感友好度 知识图谱波纹网络 

分 类 号：TP242.6[自动化与计算机技术—检测技术与自动化装置]