--- annotations_creators: - expert-generated language: - es language_creators: - expert-generated license: - cc-by-4.0 multilinguality: - monolingual pretty_name: MEDDOCAN size_categories: - 10K This work is licensed under a Creative Commons Attribution 4.0 International License. > > You are free to: Share — copy and redistribute the material in any medium or format Adapt — remix, transform, and build upon the material for any purpose, even commercially. Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. > > For more information, please see https://creativecommons.org/licenses/by/4.0/ ### Citation Information ``` @inproceedings{Marimon2019AutomaticDO, title={Automatic De-identification of Medical Texts in Spanish: the MEDDOCAN Track, Corpus, Guidelines, Methods and Evaluation of Results}, author={Montserrat Marimon and Aitor Gonzalez-Agirre and Ander Intxaurrondo and Heidy Rodriguez and Jose Lopez Martin and Marta Villegas and Martin Krallinger}, booktitle={IberLEF@SEPLN}, year={2019} } ``` ### Contributions Thanks to [@GuiGel](https://github.com/GuiGel) for adding this dataset.