@article{__nodate-1,
	title = {基于知识图谱的智能问答研究综述},
	issn = {1002-8331},
	url = {https://kns.cnki.net/kcms/detail/detail.aspx?dbcode=CAPJ&dbname=CAPJLAST&filename=JSGG20201030001&v=UVJbamaWiqMQ56j3vhaQ0SRLvbUydOahRbykRKEzvf1SlIoNVRnLLroawrz7hYsx},
	abstract = {基于知识图谱的问答是近年来研究热点，本文从基于模板、语义解析、深度学习、知识图谱嵌入四方面介绍基于知识图谱智能问答实现，归纳了各类方法的优缺点，及尚未解决的关键问题。结合当前人工智能技术发展，重点介绍了基于深度学习的智能问答，有助于更多研究者投身于智能问答研究，应不同行业需求研发适用于不同领域的问答系统，提高社会智能化信息服务水平。},
	language = {中文},
	urldate = {2020-11-24},
	journal = {计算机工程与应用},
	author = {王, 智悦 and 于, 清 and 王, 楠 and 王, 耀国},
	note = {ZSCC: NoCitationData[s0]},
	keywords = {Deep learning, Intelligent questions and answers, Knowledge graph, Semantic analysis, 智能问答, 深度学习, 知识图谱, 语义解析},
	pages = {1--13},
}

{"_id":"NbbQk9yfm8EcZMpy3","bibbaseid":"----","downloads":0,"creationDate":"2016-03-05T09:20:05.717Z","title":"基于知识图谱的智能问答研究综述","author_short":["王, 智.","于, 清","王, 楠","王, 耀."],"year":null,"bibtype":"article","biburl":"https://bibbase.org/zotero/wybert","bibdata":{"bibtype":"article","type":"article","title":"基于知识图谱的智能问答研究综述","issn":"1002-8331","url":"https://kns.cnki.net/kcms/detail/detail.aspx?dbcode=CAPJ&dbname=CAPJLAST&filename=JSGG20201030001&v=UVJbamaWiqMQ56j3vhaQ0SRLvbUydOahRbykRKEzvf1SlIoNVRnLLroawrz7hYsx","abstract":"基于知识图谱的问答是近年来研究热点，本文从基于模板、语义解析、深度学习、知识图谱嵌入四方面介绍基于知识图谱智能问答实现，归纳了各类方法的优缺点，及尚未解决的关键问题。结合当前人工智能技术发展，重点介绍了基于深度学习的智能问答，有助于更多研究者投身于智能问答研究，应不同行业需求研发适用于不同领域的问答系统，提高社会智能化信息服务水平。","language":"中文","urldate":"2020-11-24","journal":"计算机工程与应用","author":[{"propositions":[],"lastnames":["王"],"firstnames":["智悦"],"suffixes":[]},{"propositions":[],"lastnames":["于"],"firstnames":["清"],"suffixes":[]},{"propositions":[],"lastnames":["王"],"firstnames":["楠"],"suffixes":[]},{"propositions":[],"lastnames":["王"],"firstnames":["耀国"],"suffixes":[]}],"note":"ZSCC: NoCitationData[s0]","keywords":"Deep learning, Intelligent questions and answers, Knowledge graph, Semantic analysis, 智能问答, 深度学习, 知识图谱, 语义解析","pages":"1–13","bibtex":"@article{__nodate-1,\n\ttitle = {基于知识图谱的智能问答研究综述},\n\tissn = {1002-8331},\n\turl = {https://kns.cnki.net/kcms/detail/detail.aspx?dbcode=CAPJ&dbname=CAPJLAST&filename=JSGG20201030001&v=UVJbamaWiqMQ56j3vhaQ0SRLvbUydOahRbykRKEzvf1SlIoNVRnLLroawrz7hYsx},\n\tabstract = {基于知识图谱的问答是近年来研究热点，本文从基于模板、语义解析、深度学习、知识图谱嵌入四方面介绍基于知识图谱智能问答实现，归纳了各类方法的优缺点，及尚未解决的关键问题。结合当前人工智能技术发展，重点介绍了基于深度学习的智能问答，有助于更多研究者投身于智能问答研究，应不同行业需求研发适用于不同领域的问答系统，提高社会智能化信息服务水平。},\n\tlanguage = {中文},\n\turldate = {2020-11-24},\n\tjournal = {计算机工程与应用},\n\tauthor = {王, 智悦 and 于, 清 and 王, 楠 and 王, 耀国},\n\tnote = {ZSCC: NoCitationData[s0]},\n\tkeywords = {Deep learning, Intelligent questions and answers, Knowledge graph, Semantic analysis, 智能问答, 深度学习, 知识图谱, 语义解析},\n\tpages = {1--13},\n}\n\n","author_short":["王, 智.","于, 清","王, 楠","王, 耀."],"key":"__nodate-1-1-1-1-1","id":"__nodate-1-1-1-1-1","bibbaseid":"----","role":"author","urls":{"Paper":"https://kns.cnki.net/kcms/detail/detail.aspx?dbcode=CAPJ&dbname=CAPJLAST&filename=JSGG20201030001&v=UVJbamaWiqMQ56j3vhaQ0SRLvbUydOahRbykRKEzvf1SlIoNVRnLLroawrz7hYsx"},"keyword":["Deep learning","Intelligent questions and answers","Knowledge graph","Semantic analysis","智能问答","深度学习","知识图谱","语义解析"],"metadata":{"authorlinks":{}},"html":""},"search_terms":["王","于","王","王"],"keywords":["deep learning","intelligent questions and answers","knowledge graph","semantic analysis","智能问答","深度学习","知识图谱","语义解析"],"authorIDs":[],"dataSources":["rKju5xkNx4Gxav8Qb","TJkbwzD8s2wCxBy6Y"]}