Entity recognition of Chinese medical text based on multi-head self-attention combined with BILSTM-CRF

DOI10.3934/MBE.2022103zbMath1489.92068OpenAlexW4206371277MaRDI QIDQ2130292

Chaofan Li, Kai Ma

Publication date: 25 April 2022

Published in: Mathematical Biosciences and Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.3934/mbe.2022103

zbMATH Keywords

conditional random fieldselectronic medical recordsbi-directional long-short term memoryclinical named entity recognitionmulti-head self-attention

Mathematics Subject Classification ID

Medical applications (general) (92C50) Linguistics (91F20)

Uses Software

• Tensor2Tensor

Cites Work

• Unnamed Item
• A method based on multi-standard active learning to recognize entities in electronic medical record
• Fast and effective biomedical named entity recognition using temporal convolutional network with conditional random field

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