Cargando…
Consistency enhancement of model prediction on document-level named entity recognition
SUMMARY: Biomedical named entity recognition (NER) plays a crucial role in extracting information from documents in biomedical applications. However, many of these applications require NER models to operate at a document level, rather than just a sentence level. This presents a challenge, as the ext...
Autores principales: | Jeong, Minbyul, Kang, Jaewoo |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10272703/ https://www.ncbi.nlm.nih.gov/pubmed/37261870 http://dx.doi.org/10.1093/bioinformatics/btad361 |
Ejemplares similares
-
BERN2: an advanced neural biomedical named entity recognition and normalization tool
por: Sung, Mujeen, et al.
Publicado: (2022) -
Comparison of named entity recognition methodologies in biomedical documents
por: Song, Hye-Jeong, et al.
Publicado: (2018) -
CollaboNet: collaboration of deep neural networks for biomedical named entity recognition
por: Yoon, Wonjin, et al.
Publicado: (2019) -
Named entity recognition on bio-medical literature documents using hybrid based approach
por: Ramachandran, R., et al.
Publicado: (2021) -
Towards reliable named entity recognition in the biomedical domain
por: Giorgi, John M, et al.
Publicado: (2020)