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

文献类型：期刊论文

作者Shi, Jintong; Sun, Mengxuan; Sun, Zhengya; Li, Mingda; Gu, Yifan; Zhang, Wensheng1
刊名JOURNAL OF BIOMEDICAL INFORMATICS
出版日期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
DOI10.1016/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
WOS记录号WOS:000894267600001
出版者ACADEMIC PRESS INC ELSEVIER SCIENCE
资助机构National Key Research and Development Program of China ; National Natural Science Foundation of China
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.

入库方式： OAI收割

来源：自动化研究所

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