Improving biomedical named entity recognition with syntactic information

BACKGROUND: Biomedical named entity recognition (BioNER) is an important task for understanding biomedical texts, which can be challenging due to the lack of large-scale labeled training data and domain knowledge. To address the challenge, in addition to using powerful encoders (e.g., biLSTM and Bio...

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Detalles Bibliográficos
Autores principales: Tian, Yuanhe, Shen, Wang, Song, Yan, Xia, Fei, He, Min, Li, Kenli
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7687711/
https://www.ncbi.nlm.nih.gov/pubmed/33238875
http://dx.doi.org/10.1186/s12859-020-03834-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7687711/
https://www.ncbi.nlm.nih.gov/pubmed/33238875
http://dx.doi.org/10.1186/s12859-020-03834-6

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