Unified Medical Language System resources improve sieve-based generation and Bidirectional Encoder Representations from Transformers (BERT)–based ranking for concept normalization. Xu, D., Gopale, M., Zhang, J., Brown, K., Begoli, E., & Bethard, S. Journal of the American Medical Informatics Association, 07, 2020.
Unified Medical Language System resources improve sieve-based generation and Bidirectional Encoder Representations from Transformers (BERT)–based ranking for concept normalization [link]Paper  doi  bibtex   
@article{xu-etal-2020-unified,
    author = {Xu, Dongfang and Gopale, Manoj and Zhang, Jiacheng and Brown, Kris and Begoli, Edmon and Bethard, Steven},
    title = {Unified Medical Language System resources improve sieve-based generation and Bidirectional Encoder Representations from Transformers (BERT)–based ranking for concept normalization},
    journal = {Journal of the American Medical Informatics Association},
    year = {2020},
    month = {07},
    issn = {1527-974X},
    doi = {10.1093/jamia/ocaa080},
    url = {https://doi.org/10.1093/jamia/ocaa080},
    keywords = {health applications, term normalization},
}

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