@inproceedings{arranz-etal-2022-mapa,
    title = "{MAPA} Project: Ready-to-Go Open-Source Datasets and Deep Learning Technology to Remove Identifying Information from Text Documents",
    author = "Arranz, Victoria  and
      Choukri, Khalid  and
      Cuadros, Montse  and
      Garc{\'i}a Pablos, Aitor  and
      Gianola, Lucie  and
      Grouin, Cyril  and
      Herranz, Manuel  and
      Paroubek, Patrick  and
      Zweigenbaum, Pierre",
    editor = "Siegert, Ingo  and
      Rigault, Mickael  and
      Arranz, Victoria",
    booktitle = "Proceedings of the Workshop on Ethical and Legal Issues in Human Language Technologies and Multilingual De-Identification of Sensitive Data In Language Resources within the 13th Language Resources and Evaluation Conference",
    month = jun,
    year = "2022",
    address = "Marseille, France",
    publisher = "European Language Resources Association",
    url = "https://preview.aclanthology.org/fix-sig-urls/2022.legal-1.12/",
    pages = "64--72"
}