Chinese Clinical Named Entity Recognition with ALBERT and MHA Mechanism

Traditional clinical named entity recognition methods fail to balance the effectiveness of feature extraction of unstructured text and the complexity of neural network models. We propose a model based on ALBERT and a multihead attention (MHA) mechanism to solve this problem. Structurally, the model...

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Detalles Bibliográficos
Autores principales: Li, Dongmei, Long, Jiao, Qu, Jintao, Zhang, Xiaoping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9152388/
https://www.ncbi.nlm.nih.gov/pubmed/35656458
http://dx.doi.org/10.1155/2022/2056039

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9152388/
https://www.ncbi.nlm.nih.gov/pubmed/35656458
http://dx.doi.org/10.1155/2022/2056039

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