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A hybrid method based on semi-supervised learning for relation extraction in Chinese EMRs
BACKGROUND: Building a large-scale medical knowledge graphs needs to automatically extract the relations between entities from electronic medical records (EMRs) . The main challenges are the scarcity of available labeled corpus and the identification of complexity semantic relations in text of Chine...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9235238/ https://www.ncbi.nlm.nih.gov/pubmed/35761319 http://dx.doi.org/10.1186/s12911-022-01908-4 |