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Transfer Learning from BERT to Support Insertion of New Concepts into SNOMED CT
With advances in Machine Learning (ML), neural network-based methods, such as Convolutional/Recurrent Neural Networks, have been proposed to assist terminology curators in the development and maintenance of terminologies. Bidirectional Encoder Representations from Transformers (BERT), a new language...
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| Publicat a: | AMIA Annu Symp Proc |
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| Autors principals: | , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
American Medical Informatics Association
2020
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7153142/ https://ncbi.nlm.nih.gov/pubmed/32308910 |
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