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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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| Yayımlandı: | AMIA Annu Symp Proc |
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| Asıl Yazarlar: | , , |
| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
American Medical Informatics Association
2020
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| Konular: | |
| Online Erişim: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7153142/ https://ncbi.nlm.nih.gov/pubmed/32308910 |
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