Published May 12, 2023 | Version v1
Journal article Open

MEDDOPLACE Guidelines (English): Annotation, Normalization and Classification of Locations and Related-Information in Medical Documents

  • 1. Barcelona Supercomputing Center
  • 2. Dublin University

Description

MEDDOPLACE stands for MEDical DOcument PLAce-related Content Extraction. It is a shared task and set of resources focused on the detection, normalization (entity linking/toponym resolution) and classification of different kinds of places, as well as related types of information such as clinical departments, nationalities or patient movements, in medical documents in Spanish.

This repository includes the Annotation Guidelines in English, a 60+ pages-long document that describes how to annotate, normalize and characterize locations, clinical departments and related-information in medical documents. This version was translated by a professional translator from the original guidelines in Spanish (link below).

MEDDOPLACE was developed by the Barcelona Supercomputing Center's NLP for Biomedical Information Analysis and used as part of IberLEF 2023. For more information on the corpus, annotation scheme and task in general, please visit: https://temu.bsc.es/meddoplace.

Related Links:

- MEDDOPLACE website: https://temu.bsc.es/meddoplace

- Gold Standard data: https://doi.org/10.5281/zenodo.7707566

- Guidelines (Spanish): https://doi.org/10.5281/zenodo.7775234

License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Contact

If you have any questions or suggestions, please contact us at:

- Salvador Lima-López (<salvador [dot] limalopez [at] gmail [dot] com>)
- Martin Krallinger (<krallinger [dot] martin [at] gmail [dot] com>)

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MEDDOPLACE_guidelines_English_v1.pdf

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