Weakly supervised spatial relation extraction from radiology reports

OBJECTIVE: Weak supervision holds significant promise to improve clinical natural language processing by leveraging domain resources and expertise instead of large manually annotated datasets alone. Here, our objective is to evaluate a weak supervision approach to extract spatial information from ra...

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Detalles Bibliográficos
Autores principales: Datta, Surabhi, Roberts, Kirk
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Research and Applications
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10122604/
https://www.ncbi.nlm.nih.gov/pubmed/37096148
http://dx.doi.org/10.1093/jamiaopen/ooad027

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10122604/
https://www.ncbi.nlm.nih.gov/pubmed/37096148
http://dx.doi.org/10.1093/jamiaopen/ooad027

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