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 Spanish, a 60+ pages-long document that describes how to annotate, normalize and characterize locations and related-information in medical documents. 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 th...
Public hospitals in Chile have waiting lists for specialty consultations that are both numerous and...
This document is a companion to the article "NLP applied to occupational health: MEDDOPROF shared ta...
CodieEsp guidelines were employed for the annotation of the CodiEsp corpus, available at https://zen...
MEDDOPLACE stands for MEDical DOcument PLAce-related Content Extraction. It is a shared task and set...
MEDDOPLACE stands for MEDical DOcument PLAce-related Content Extraction. It is a shared task and set...
MedProcNER stands for MEDical PROCedure Named Entity Recognition. It is a shared task and set of res...
The MEDDOPROF Shared Task tackles the detection of occupations and employment statuses in clinical c...
Spanish-only document The MEDDOCAN corpus was manually annotated by clinical experts following the ...
MedProcNER stands for MEDical PROCedure Named Entity Recognition. It is a shared task and set of res...
The MEDDOPROF Shared Task tackles the detection of occupations and employment statuses in clinical c...
The MEDDOPROF Shared Task tackles the detection of occupations and employment statuses in clinical c...
Intro: Meddocan shared task dataset (divided in train, dev and test). In addition, we include here ...
The MEDDOPROF Shared Task tackles the detection of occupations and employment statuses in clinical c...
SympTEMIST stands for Symptoms TExt MIning Shared Task. It is a shared task and set of resources foc...
Please, cite us: Miranda-Escalada, A., Gascó, L., Lima-López, S., Farré-Maduell, E., Estrada, D., N...
Public hospitals in Chile have waiting lists for specialty consultations that are both numerous and...
This document is a companion to the article "NLP applied to occupational health: MEDDOPROF shared ta...
CodieEsp guidelines were employed for the annotation of the CodiEsp corpus, available at https://zen...
MEDDOPLACE stands for MEDical DOcument PLAce-related Content Extraction. It is a shared task and set...
MEDDOPLACE stands for MEDical DOcument PLAce-related Content Extraction. It is a shared task and set...
MedProcNER stands for MEDical PROCedure Named Entity Recognition. It is a shared task and set of res...
The MEDDOPROF Shared Task tackles the detection of occupations and employment statuses in clinical c...
Spanish-only document The MEDDOCAN corpus was manually annotated by clinical experts following the ...
MedProcNER stands for MEDical PROCedure Named Entity Recognition. It is a shared task and set of res...
The MEDDOPROF Shared Task tackles the detection of occupations and employment statuses in clinical c...
The MEDDOPROF Shared Task tackles the detection of occupations and employment statuses in clinical c...
Intro: Meddocan shared task dataset (divided in train, dev and test). In addition, we include here ...
The MEDDOPROF Shared Task tackles the detection of occupations and employment statuses in clinical c...
SympTEMIST stands for Symptoms TExt MIning Shared Task. It is a shared task and set of resources foc...
Please, cite us: Miranda-Escalada, A., Gascó, L., Lima-López, S., Farré-Maduell, E., Estrada, D., N...
Public hospitals in Chile have waiting lists for specialty consultations that are both numerous and...
This document is a companion to the article "NLP applied to occupational health: MEDDOPROF shared ta...
CodieEsp guidelines were employed for the annotation of the CodiEsp corpus, available at https://zen...