MEDDOPLACE Guidelines (English): Annotation, Normalization and Classification of Locations and Related-Information in Medical Documents
Creators
- 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>)
Files
MEDDOPLACE_guidelines_English_v1.pdf
Files
(2.5 MB)
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