面向知识自动化的自动问答研究进展
曾帅1,2; 王帅1,3; 袁勇1,2; 倪晓春1,2; 欧阳永基4
Source Publication自动化学报
2017-07
Volume43Issue:9Pages:1491-1508
Other Abstract

将自动问答系统从基于文本关键词的层面,提升到基于知识的层面, 实现个性化、智能化的知识机器人,已成为自动问答系统未来的发展趋势与目标. 本文从知识管理的角度出发,分析和总结自动问答领域的最新研究成果. 按照知识表示方法,对代表性自动问答系统及关键问题进行了描述和分析;并对主流的英文、中文自动问答应用和主要评测方法进行了介绍.

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Evolving question answering systems from the text keywords level to the next Knowledge-based level, and thus realizing personalized and intelligent knowledge robots, have become the development trend and goal for the future question answering systems. From the viewpoint of knowledge management, this paper analyzes and summarizes the latest research findings in the field of automatic question answering. According to the knowledge representation methods, this paper surveys several representative question answering systems and analyzes their key technologies. This paper also investigates some mainstream English and Chinese-language-based question answering applications and the commonly used evaluation methods.

Keyword自动问答系统 知识机器人 知识自动化 知识工程
DOI10.16383/j.aas.2017.c160667
Indexed ByEI
Language中文
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/19716
Collection复杂系统管理与控制国家重点实验室_先进控制与自动化
Corresponding Author曾帅
Affiliation1.中国科学院自动化研究所复杂系统管理与控制国家重点实验室
2.青岛智能产业技术研究院
3.中国科学院大学
4.解放军61786部队
Recommended Citation
GB/T 7714
曾帅,王帅,袁勇,等. 面向知识自动化的自动问答研究进展[J]. 自动化学报,2017,43(9):1491-1508.
APA 曾帅,王帅,袁勇,倪晓春,&欧阳永基.(2017).面向知识自动化的自动问答研究进展.自动化学报,43(9),1491-1508.
MLA 曾帅,et al."面向知识自动化的自动问答研究进展".自动化学报 43.9(2017):1491-1508.
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