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Combination of Loss-based Active Learning and Semi-supervised Learning for Recognizing Entities in Chinese Electronic Medical Records

文献类型：期刊论文

作者Yan, Jinghui2; Zong, Chengqing1,3; Xu, Jinan2
刊名ACM TRANSACTIONS ON ASIAN AND LOW-RESOURCE LANGUAGE INFORMATION PROCESSING
出版日期2023-05-01
卷号22期号:5页码:19
ISSN号2375-4699
关键词Electronic medical record loss-based active learning dynamic balance strategy semi-supervised learning
DOI10.1145/3588314
通讯作者Yan, Jinghui(jh_yan@bjtu.edu.cn)
英文摘要The recognition of entities in an electronic medical record (EMR) is especially important to downstream tasks, such as clinical entity normalization and medical dialogue understanding. However, in the medical professional field, training a high-quality named entity recognition system always requires large-scale annotated datasets, which are highly expensive to obtain. In this article, to lower the cost of data annotation andmaximizing the use of unlabeled data, we propose a hybrid approach to recognizing the entities in Chinese electronic medical record, which is in combination of loss-based active learning and semi-supervised learning. Specifically, we adopted a dynamic balance strategy to dynamically balance the minimum loss predicted by a named entity recognition decoder and a loss prediction module at different stages in the process. Experimental results demonstrated our proposed framework's effectiveness and efficiency, achieving higher performances than existing approaches on Chinese EMR entity recognition datasets under limited labeling resources.
WOS关键词RECOGNITION
WOS研究方向Computer Science
语种英语
出版者ASSOC COMPUTING MACHINERY
WOS记录号WOS:001005812800001
源URL[http://ir.ia.ac.cn/handle/173211/53579]  
专题多模态人工智能系统全国重点实验室
通讯作者Yan, Jinghui
作者单位1.Beijing Jiaotong Univ, Sch Comp Sci & Informat Technol, Beijing 100049, Peoples R China
2.Beijing Jiaotong Univ, Sch Comp Sci & Informat Technol, Beijing 100044, Peoples R China
3.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100049, Peoples R China
推荐引用方式
GB/T 7714		 Yan, Jinghui,Zong, Chengqing,Xu, Jinan. Combination of Loss-based Active Learning and Semi-supervised Learning for Recognizing Entities in Chinese Electronic Medical Records[J]. ACM TRANSACTIONS ON ASIAN AND LOW-RESOURCE LANGUAGE INFORMATION PROCESSING,2023,22(5):19.
APA Yan, Jinghui,Zong, Chengqing,&Xu, Jinan.(2023).Combination of Loss-based Active Learning and Semi-supervised Learning for Recognizing Entities in Chinese Electronic Medical Records.ACM TRANSACTIONS ON ASIAN AND LOW-RESOURCE LANGUAGE INFORMATION PROCESSING,22(5),19.
MLA Yan, Jinghui,et al."Combination of Loss-based Active Learning and Semi-supervised Learning for Recognizing Entities in Chinese Electronic Medical Records".ACM TRANSACTIONS ON ASIAN AND LOW-RESOURCE LANGUAGE INFORMATION PROCESSING 22.5(2023):19.

入库方式： OAI收割

来源：自动化研究所

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