@inproceedings{mitrofan-pais-2022-improving,
    title = "Improving {R}omanian {B}io{NER} Using a Biologically Inspired System",
    author = "Mitrofan, Maria  and
      Pais, Vasile",
    editor = "Demner-Fushman, Dina  and
      Cohen, Kevin Bretonnel  and
      Ananiadou, Sophia  and
      Tsujii, Junichi",
    booktitle = "Proceedings of the 21st Workshop on Biomedical Language Processing",
    month = may,
    year = "2022",
    address = "Dublin, Ireland",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/fix-sig-urls/2022.bionlp-1.30/",
    doi = "10.18653/v1/2022.bionlp-1.30",
    pages = "316--322",
    abstract = "Recognition of named entities present in text is an important step towards information extraction and natural language understanding. This work presents a named entity recognition system for the Romanian biomedical domain. The system makes use of a new and extended version of SiMoNERo corpus, that is open sourced. Also, the best system is available for direct usage in the RELATE platform."
}