@inproceedings{gron-etal-2019-leveraging,
    title = "Leveraging Sublanguage Features for the Semantic Categorization of Clinical Terms",
    author = {Gr{\"o}n, Leonie  and
      Bertels, Ann  and
      Heylen, Kris},
    editor = "Demner-Fushman, Dina  and
      Cohen, Kevin Bretonnel  and
      Ananiadou, Sophia  and
      Tsujii, Junichi",
    booktitle = "Proceedings of the 18th BioNLP Workshop and Shared Task",
    month = aug,
    year = "2019",
    address = "Florence, Italy",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/iwcs-25-ingestion/W19-5022/",
    doi = "10.18653/v1/W19-5022",
    pages = "211--216",
    abstract = "The automatic processing of clinical documents, such as Electronic Health Records (EHRs), could benefit substantially from the enrichment of medical terminologies with terms encountered in clinical practice. To integrate such terms into existing knowledge sources, they must be linked to corresponding concepts. We present a method for the semantic categorization of clinical terms based on their surface form. We find that features based on sublanguage properties can provide valuable cues for the classification of term variants."
}