Pre-trained models, data augmentation, and ensemble learning for biomedical information extraction and document classification

Large volumes of publications are being produced in biomedical sciences nowadays with ever-increasing speed. To deal with the large amount of unstructured text data, effective natural language processing (NLP) methods need to be developed for various tasks such as document classification and informa...

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Detalles Bibliográficos
Autores principales: Erdengasileng, Arslan, Han, Qing, Zhao, Tingting, Tian, Shubo, Sui, Xin, Li, Keqiao, Wang, Wanjing, Wang, Jian, Hu, Ting, Pan, Feng, Zhang, Yuan, Zhang, Jinfeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9375052/
https://www.ncbi.nlm.nih.gov/pubmed/35962559
http://dx.doi.org/10.1093/database/baac066

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9375052/
https://www.ncbi.nlm.nih.gov/pubmed/35962559
http://dx.doi.org/10.1093/database/baac066

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