@inproceedings{hakala-pyysalo-2019-biomedical,
    title = "Biomedical Named Entity Recognition with Multilingual {BERT}",
    author = "Hakala, Kai  and
      Pyysalo, Sampo",
    editor = "Jin-Dong, Kim  and
      Claire, N{\'e}dellec  and
      Robert, Bossy  and
      Louise, Del{\'e}ger",
    booktitle = "Proceedings of the 5th Workshop on BioNLP Open Shared Tasks",
    month = nov,
    year = "2019",
    address = "Hong Kong, China",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/ingest_wac_2008/D19-5709/",
    doi = "10.18653/v1/D19-5709",
    pages = "56--61",
    abstract = "We present the approach of the Turku NLP group to the PharmaCoNER task on Spanish biomedical named entity recognition. We apply a CRF-based baseline approach and multilingual BERT to the task, achieving an F-score of 88{\%} on the development data and 87{\%} on the test set with BERT. Our approach reflects a straightforward application of a state-of-the-art multilingual model that is not specifically tailored to either the language nor the application domain. The source code is available at: \url{https://github.com/chaanim/pharmaconer}"
}