智能系统学报2018，Vol.13Issue(4)：557-563,7.DOI:10.11992/tis.201707039
基于知识库的开放领域问答系统
Open-domain question-answering system based on large-scale knowledge base
摘要
Abstract
Question-answering(QA)systems can understand user questions and return answers directly.Currently,most QA systems can only answer questions pertaining to specific domains.In this paper,we propose a method for construct-ing an open-domain QA system based on a large-scale knowledge base.First,we present an approach based on a visual dictionary and a conditional random field(CRF)model to identify the subject in question.Next,we use a fuzzy match-ing method to link the entity in question to that in the knowledge base,and apply similarity computation and rule match-ing methods to recognize the question predicates and link them to the attributes of the knowledge entity.Lastly,we im-plement entity disambiguation and answer retrieval.The mean F-measure value of the proposed system is 0.695 6,which indicates the feasibility of the proposed method for an open-domain QA system for a large-scale knowledge base.关键词
问答系统/开放领域/实体识别/实体链接/知识库Key words
question-answering system/open domain/entity recognition/entity linking/knowledge base分类
信息技术与安全科学引用本文复制引用
张涛,贾真,李天瑞,黄雁勇..基于知识库的开放领域问答系统[J].智能系统学报,2018,13(4):557-563,7.基金项目
国家自然科学基金项目(61573292) （61573292）
国家自然科学基金青年科学基金项目(61603313). （61603313）
