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面向知识自动化的自动问答研究进展

曾帅 王帅 袁勇 倪晓春 欧阳永基

自动化学报2017,Vol.43Issue(9):1491-1508,18.
自动化学报2017,Vol.43Issue(9):1491-1508,18.DOI:10.16383/j.aas.2017.c160667

面向知识自动化的自动问答研究进展

Towards Knowledge Automation: A Survey on Question Answering Systems

曾帅 1王帅 2袁勇 1倪晓春 3欧阳永基1

作者信息

  • 1. 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 北京 100190
  • 2. 青岛智能产业技术研究院 青岛 266109
  • 3. 中国科学院大学 北京 100049
  • 折叠

摘要

Abstract

Question answering systems are evolving from the text keywords level to the next knowledge-based level,and thus realizing personalized and intelligent knowledge robots has 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.Also investigated are some mainstream English and Chinese-language-based question answering applications and the commonly used evaluation methods.

关键词

自动问答系统/知识机器人/知识自动化/知识工程

Key words

Question answering system/knowledge robots/knowledge automation/knowledge engineering

引用本文复制引用

曾帅,王帅,袁勇,倪晓春,欧阳永基..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):1491-1508,18.

基金项目

国家自然科学基金(61233001,61533019,71102117,71232006,71402178,71472174,71702182)资助 Supported by National Natural Science Foundation of China (61233001,61533019,71102117,71232006,71402178,71472174,71702182) (61233001,61533019,71102117,71232006,71402178,71472174,71702182)

自动化学报

OA北大核心CSCDCSTPCD

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