气候变化领域集成服务门户(CCPortal): Research on Tibetan Medicine Entity Recognition and Knowledge Graph Construction

CCPortal

DOI	10.1007/978-981-15-8462-6_196
	Research on Tibetan Medicine Entity Recognition and Knowledge Graph Construction
	Luosanggadeng; Zhaxi N.; Duojie R.; Jiancuo S.
发表日期	2021
ISSN	21945357
起始页码	1718
结束页码	1724
卷号	1274 AISC
英文摘要	Tibetan medicine entity recognition is a primary task of medical entity recognition. Building a Tibetan medicine knowledge graph is the preliminary work of medical big data research. In this paper, Bi-directional Long Short-Term Memory (BiLSTM-CRF) is used for automatic recognition of Tibetan medicine entities. Then we construct a Tibetan medicine knowledge graph based on Nodejs. Entity recognition in medical documents and electronic medical lay a solid foundation for the research of medical big data. © 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
英文关键词	Entity recognition; Knowledge graph; Tibetan medicine
语种	英语
scopus关键词	Advances in Intelligent Systems and Computing
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/158331
作者单位	Tibet University; Lhasa; China
推荐引用方式 GB/T 7714	Luosanggadeng,Zhaxi N.,Duojie R.,et al. Research on Tibetan Medicine Entity Recognition and Knowledge Graph Construction[J],2021,1274 AISC.
APA	Luosanggadeng,Zhaxi N.,Duojie R.,&Jiancuo S..(2021).Research on Tibetan Medicine Entity Recognition and Knowledge Graph Construction.,1274 AISC.
MLA	Luosanggadeng,et al."Research on Tibetan Medicine Entity Recognition and Knowledge Graph Construction".1274 AISC(2021).