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Adverse Drug Events Detection, Pharmacovigilance and Surveillance (91) New Methods (666) Pharmacovigilance (79) Natural Language Processing (492) Clinical Informatics (541) Safety and Error Prevention in Health (158) Big Data (169)
Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/26407, first published .
Chinese-Named Entity Recognition From Adverse Drug Event Records: Radical Embedding-Combined Dynamic Embedding–Based BERT in a Bidirectional Long Short-term Conditional Random Field (Bi-LSTM-CRF) Model

Chinese-Named Entity Recognition From Adverse Drug Event Records: Radical Embedding-Combined Dynamic Embedding–Based BERT in a Bidirectional Long Short-term Conditional Random Field (Bi-LSTM-CRF) Model

Chinese-Named Entity Recognition From Adverse Drug Event Records: Radical Embedding-Combined Dynamic Embedding–Based BERT in a Bidirectional Long Short-term Conditional Random Field (Bi-LSTM-CRF) Model

Authors of this article:

Hong Wu 1 Author Orcid Image ;   Jiatong Ji 2 Author Orcid Image ;   Haimei Tian 3 Author Orcid Image ;   Yao Chen 1 Author Orcid Image ;   Weihong Ge 4 Author Orcid Image ;   Haixia Zhang 4 Author Orcid Image ;   Feng Yu 2 Author Orcid Image ;   Jianjun Zou 5 Author Orcid Image ;   Mitsuhiro Nakamura 6 Author Orcid Image ;   Jun Liao 1 Author Orcid Image
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