Multi-level semantic fusion network for Chinese medical named entity recognition

doi:10.1016/j.jbi.2022.104144

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	Multi-level semantic fusion network for Chinese medical named entity recognition
	Shi, Jintong ; Sun, Mengxuan ; Sun, Zhengya ; Li, Mingda ; Gu, Yifan ; Zhang, Wensheng 1
刊名	JOURNAL OF BIOMEDICAL INFORMATICS
	2022-09-01
卷号	133 页码:8
关键词	Medical named entity recognition Multi-level semantic fusion Syntactic dependency parsing Graph neural network
ISSN号	1532-0464
DOI	10.1016/j.jbi.2022.104144
通讯作者	Zhang, Wensheng(zhangwenshengia@hotmail.com)
英文摘要	Medical named entity recognition (MNER) is a fundamental component of understanding the unstructured medical texts in electronic health records, and it has received widespread attention in both academia and industry. However, the previous approaches of MNER do not make full use of hierarchical semantics from morphology to syntactic relationships like word dependency. Furthermore, extracting entities from Chinese medical texts is a more complex task because it usually contains for example homophones or pictophonetic characters. In this paper, we propose a multi-level semantic fusion network for Chinese medical named entity recognition, which fuses semantic information on morphology, character, word and syntactic level. We take radical as morphology semantic, pinyin and character dictionary as character semantic, word dictionary as word semantic, and these semantic features are fused by BiLSTM to get the contextualized representation. Then we use a graph neural network to model word dependency as syntactic semantic to enhance the contextualized representation. The experimental results show the effectiveness of the proposed model on two public datasets and robustness in real-world scenarios.
资助项目	National Key Research and Development Program of China[2018AAA0102100] ; National Natural Science Foundation of China[61876183]
WOS研究方向	Computer Science ; Medical Informatics
语种	英语
出版者	ACADEMIC PRESS INC ELSEVIER SCIENCE
WOS记录号	WOS:000894267600001
资助机构	National Key Research and Development Program of China ; National Natural Science Foundation of China
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/50821]
专题	精密感知与控制研究中心_人工智能与机器学习
通讯作者	Zhang, Wensheng
作者单位	1.Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
推荐引用方式 GB/T 7714	Shi, Jintong,Sun, Mengxuan,Sun, Zhengya,et al. Multi-level semantic fusion network for Chinese medical named entity recognition[J]. JOURNAL OF BIOMEDICAL INFORMATICS,2022,133:8.
APA	Shi, Jintong,Sun, Mengxuan,Sun, Zhengya,Li, Mingda,Gu, Yifan,&Zhang, Wensheng.(2022).Multi-level semantic fusion network for Chinese medical named entity recognition.JOURNAL OF BIOMEDICAL INFORMATICS,133,8.
MLA	Shi, Jintong,et al."Multi-level semantic fusion network for Chinese medical named entity recognition".JOURNAL OF BIOMEDICAL INFORMATICS 133(2022):8.