知识驱动的对话生成模型研究综述
Survey of Research on Knowledge-Driven Dialogue Generation Models
摘要
Abstract
Knowledge-driven dialogue generation models aim to enhance dialogue generation models by using different forms of knowledge,so that dialogue generation models can not only learn semantic interactions from dialogue data,but also deeply understand user input,background knowledge and dialogue context to generate more reasonable,diverse,informative and anthropomorphic responses,and thus promote the development of dialogue systems.Currently,the related work is still in the early stages of exploration,and there is a lack of comprehensive reviews and systematic summaries of existing results.This paper provides a comprehensive review of the research on knowledge-driven dialogue generation models.Firstly,in response to the existing research results,it sorts out and introduces the current knowledge-driven dialogue generation tasks and the main problems encountered,and provides detailed task definitions and problem definitions.Secondly,it organizes and introduces the datasets required for the modeling of knowledge-driven dialogue generation models.Then,it focuses on the improvement,research status,evaluation indicators involved,and performance of each model in the process of knowledge-driven dialogue generation research,including knowledge acquisition,knowledge representation,knowledge selection,and knowledge integration-related studies.Finally,the future development directions of knowledge-based dialogue generation models are prospected.关键词
对话生成模型/对话系统/外部知识/知识驱动的对话生成Key words
dialogue generation model/dialogue systems/external knowledge/knowledge-driven dialogue generation分类
信息技术与安全科学引用本文复制引用
许璧麒,马志强,周钰童,贾文超,刘佳,吕凯..知识驱动的对话生成模型研究综述[J].计算机科学与探索,2024,18(1):58-74,17.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 of 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）
