@inproceedings{pais-etal-2021-named,
    title = "Named Entity Recognition in the {R}omanian Legal Domain",
    author = "Pais, Vasile  and
      Mitrofan, Maria  and
      Gasan, Carol Luca  and
      Coneschi, Vlad  and
      Ianov, Alexandru",
    booktitle = "Proceedings of the Natural Legal Language Processing Workshop 2021",
    month = nov,
    year = "2021",
    address = "Punta Cana, Dominican Republic",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2021.nllp-1.2",
    doi = "10.18653/v1/2021.nllp-1.2",
    pages = "9--18",
    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 legal domain. The system makes use of the gold annotated LegalNERo corpus. Furthermore, the system combines multiple distributional representations of words, including word embeddings trained on a large legal domain corpus. All the resources, including the corpus, model and word embeddings are open sourced. Finally, the best system is available for direct usage in the RELATE platform.",
}