Research on Named Entity Recognition Method of Metro On-Board Equipment Based on Multiheaded Self-Attention Mechanism and CNN-BiLSTM-CRF

Massive and complex unstructured fault text data will be generated during the operation of subway trains. A named entity recognition model of subway on-board equipment based on Multiheaded Self-attention mechanism and CNN-BiLSTM-CRF is proposed to address the issue of low recognition accuracy and in...

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Detalles Bibliográficos
Autores principales: Lin, Junting, Liu, Endong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9279046/
https://www.ncbi.nlm.nih.gov/pubmed/35845883
http://dx.doi.org/10.1155/2022/6374988

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9279046/
https://www.ncbi.nlm.nih.gov/pubmed/35845883
http://dx.doi.org/10.1155/2022/6374988

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