ISCAS OpenIR  > 中文信息处理实验室
基于弱监督和多特征融合的医疗实体识别方法研究
段冶恒
Major计算机技术
Supervisor马龙龙
2020-06-15
Degree Grantor中国科学院研究生院
Degree Level硕士
Place of Degree Grantor北京
Keyword医疗实体识别,弱监督学习,外部知识,深度学习,多特征融合
Subject自然语言处理
Content Type学位论文
URIhttp://ir.iscas.ac.cn/handle/311060/19277
Collection中文信息处理实验室
Affiliation中国科学院软件研究所
Recommended Citation
GB/T 7714
段冶恒. 基于弱监督和多特征融合的医疗实体识别方法研究[D]. 北京. 中国科学院研究生院,2020.
Files in This Item:
File Name/Size DocType Version Access License
毕业论文_段冶恒.pdf(2008KB)学位论文 开放获取CC BY-NC-SAApplication Full Text
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[段冶恒]'s Articles
Baidu academic
Similar articles in Baidu academic
[段冶恒]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[段冶恒]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.