Triplet-Trained Vector Space and Sieve-Based Search Improve Biomedical Concept Normalization. Xu, D. & Bethard, S. In Proceedings of the 20th Workshop on Biomedical Language Processing, pages 11–22, Online, June, 2021. Association for Computational Linguistics.
Triplet-Trained Vector Space and Sieve-Based Search Improve Biomedical Concept Normalization [link]Paper  bibtex   
@inproceedings{xu-bethard-2021-triplet,
    title = "Triplet-Trained Vector Space and Sieve-Based Search Improve Biomedical Concept Normalization",
    author = "Xu, Dongfang  and
      Bethard, Steven",
    booktitle = "Proceedings of the 20th Workshop on Biomedical Language Processing",
    month = jun,
    year = "2021",
    address = "Online",
    publisher = "Association for Computational Linguistics",
    url = "https://www.aclweb.org/anthology/2021.bionlp-1.2",
    pages = "11--22",
    keywords = {term normalization, workshop paper},
}

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