Knowledge-Enhanced Conversational Agents

作     者：Fabio Caffaro Giuseppe Rizzo Fabio Caffaro;Giuseppe Rizzo

作者机构：LINKS Foundation10138 TurinItaly 

出 版 物：《Journal of Computer Science & Technology》 (计算机科学技术学报（英文版）)

年 卷 期：2024年第39卷第3期

页      面：585-609页

核心收录：

学科分类：12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 081104[工学-模式识别与智能系统] 08[工学] 0835[工学-软件工程] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

主　　题：conversational agent dialogue system knowledge enhancing artificial agent intelligent conversation 

摘      要：Humanity has fantasized about artificial intelligence tools able to discuss with human beings fluently for *** efforts have been proposed ranging from ELIZA to the modern vocal *** the large interest in this research and innovation field,there is a lack of common understanding on the concept of conversational agents and general over expectations that hide the current limitations of existing *** work proposes a literature review on the subject with a focus on the most promising type of conversational agents that are powered on top of knowledge bases and that can offer the ground knowledge to hold conversation autonomously on different *** describe a conceptual architecture to define the knowledge-enhanced conversational agents and investigate different domains of *** conclude this work by listing some promising research pathways for future work.