情感强度回复生成模型
Emotional Intensity Response Generation Model
摘要
Abstract
Emotional dialogue generation models do not consider the emotional intensity factor in response genera-tion,which leads to the inappropriateness of the emotional expression in generated response,and reduces the user in-teraction experience.Inspired by the work of emotional intensity in emotional psychology,this paper proposes an emotional intensity response generation model(EIRGM),which includes an emotional intensity prediction unit,a context encoding module and an emotional intensity response generation unit.An emotional intensity prediction unit provides emotion categories and emotional intensity for reply sentences;a context encoding module provides con-tent basis for response;an emotional intensity response generation unit is used to express the emotion and intensity in response.Based on the NLPCC2018 open-domain dialogue dataset,experiments are carried out in terms of emo-tional appropriateness,emotional intensity appropriateness,content relevance,and dialogue persistence.Experimen-tal results show that EIRGM is not much different from the optimal model in terms of emotional appropriateness,and EIRGM is improved by 4.1 percentage points and 0.8 percentage points compared with the optimal model in terms of emotional intensity appropriateness and dialogue persistence,respectively.It shows that the model im-proves the emotional intensity appropriateness of emotional expression,and improves the user's willingness to interact.关键词
情感强度/情感类别/情感对话/回复生成/情感表达Key words
emotional intensity/emotion categories/emotional dialogue/response generation/emotional expression分类
信息技术与安全科学引用本文复制引用
马志强,周钰童,贾文超,许璧麒,王春喻..情感强度回复生成模型[J].计算机科学与探索,2024,18(5):1339-1347,9.基金项目
国家自然科学基金(62166029) （62166029）
内蒙古自治区自然科学基金(2019MS06004) （2019MS06004）
内蒙古自治区科技成果转化专项资金项目(2020CG0073) （2020CG0073）
内蒙古自治区科技重大专项(2019ZD015) （2019ZD015）
内蒙古自治区关键技术攻关计划项目(2019GG273) （2019GG273）
自治区直属高校基本科研业务费项目(JY20220074,JY20220420,JY20220268). This work was supported by the National Natural Science Foundation of China(62166029),the Natural Science Foundation of Inner Mongolia(2019MS06004),the Fund Project for Transformation of Scientific and Technological Achievements from Inner Mongolia(2020CG0073),the Major Science and Technology Project of Inner Mongolia(2019ZD015),the Key Scientific and Technological Re-search Program of Inner Mongolia Autonomous Region(2019GG273),and the Basic Research Funds for Universities Directly under the Autonomous Region(JY20220074,JY20220420,JY20220268). （JY20220074,JY20220420,JY20220268）
