*** 2nd CALL FOR PARTICIPATION ***
MEDDOPROF Shared Task (IberLEF - SEPLN 2021)
Medical Documents Profession Recognition shared task
https://temu.bsc.es/meddoprof/
MEDDOPROF Cup Awards by BSC-Plan TL [3,000€]
Professions and employment statuses can have a radical impact in physical and mental health, habits, lifestyle choices, … An entire medical specialty (occupational medicine) is centered around them, dealing with workplace accidents, exposition to toxic substances and pathogens, mental health impact, … The current pandemic has also underscored this influence, as many people with specific occupations have been specially affected (for instance, health professionals and other essential workers). The detection of these terms should help researchers to better characterize health risks of specific occupations.
One of the main contributions of the task is the inclusion of employment status in a broad sense. Unemployed and retired people, family caregivers, people who are homeless, people who depend on government subsidies, etc. have been considered, which strengthens the social side of this project.
Outside medicine, we foresee that the systems resulting from MEDDOPROF may be used in fields such as social care, human resources, legal NLP and even gender studies. Other NLP tasks such as anonymization might also benefit from having more exhaustive annotated data in this regard.
Following the success of previously organized shared tasks (i.e. Cantemist, PharmaCoNER and Meddocan), the Barcelona Supercomputing Center is now launching the MEDDOPROF Shared Task as part of the IberLEF 2021 evaluation initiative (co-located with SEPLN 2021), with the following sub-tracks:
- MEDDOPROF-NER: automatic detection of mentions of occupations (profession, employment status and activities).
- MEDDOPROF-CLASS: finding mentions of occupations and classifying them, whether they refer to the patients themselves, their family members or to healthcare professionals.
- MEDDOPROF-NORM: mapping detected occupation mentions to their corresponding concept identifiers from standard multilingual occupation terminologies (ESCO and SNOMED-CT).
Participation is free of charge, regardless of whether you submit a system description paper or not, and there will be prizes for the top three winners of each subtask.
** Key information: **
- MEDDOPROF web: https://temu.bsc.es/meddoprof/
- Data: https://doi.org/10.5281/zenodo.4694768
- Registration: https://temu.bsc.es/meddoprof/registration
** Schedule **
- Test set release (start of evaluation period): June 1st, 2021
- End of evaluation period (system submissions): June 9th, 2021
- Working papers submission: June 21st, 2021
- Notification of acceptance (peer-reviews): June 27th, 2021
- Camera-ready system descriptions: July 4th, 2021
- IberLEF @ SEPLN 2021: September 2021
** Publications and IBERLEF/SEPLN2021 workshop **
Teams participating in MEDDOPROF will be invited to contribute a systems description paper for the IberLEF (SEPLN 2021) Working Notes proceedings, and a short presentation of their approach at the IberLEF 2021 workshop.
** Main Organizers **
- Martin Krallinger, Barcelona Supercomputing Center, Spain
- Eulàlia Farré, Barcelona Supercomputing Center, Spain
- Salvador Lima, Barcelona Supercomputing Center, Spain
- Vicent Briva-Iglesias, D-REAL, Dublin City University, Ireland
- Antonio Miranda-Escalada, Barcelona Supercomputing Center, Spain
** Scientific Committee **
- Sophia Ananadiou, Department of Computer Science, University of Manchester, UK
- Alec Chapman, Data Scientist, University of Utah
- Dina Demner-Fushman, Tenure Track Investigator, Biomedical Informatics Branch, Lister Hill National Center for Biomedical Communications
- Hercules Dalianis, Professor in Computer and Systems Science, Stockholm University, Sweden
- Hongfang Liu, Professor of Biomedical Informatics, Mayo Clinic
- Josep Maria Haro Abad, Institut de Recerca Sant Joan de Déu
- Bradley Malin, Accenture Professor of Biomedical Informatics, Biostatistics, and Computer Science, Vanderbilt
- Goran Nenadic, Department of Computer Science, University of Manchester, UK
- Aurélie Névéol, LIMSI-CNRS, Université Paris-Sud, France
- Øystein Nytrø, Department of Computer and Information Science, Norges Teknisk-Naturvitenskapelige Universitet (NTNU)
- Carlos Luis Parra Calderón, Head of Technological Innovation at Virgen del Rocío University Hospital, Institute of Biomedicine of Seville, Spain
- Kirk E. Roberts, School of Biomedical Informatics, University of Texas Health Science Center
- Francisco Javier Sanz Valero, Escuela Nacional de Medicina del Trabajo, Instituto de Salud Carlos III, Spain
- Stefan Schulz, Institute for Medical Informatics, Statistics and Documentation, Medical University of Graz, Austria
- Ashish Tendulkar, Machine Learning Specialist at Google
- Michelle Turner, Assistant Research Professor at Barcelona Institute for Global Health, Secretary-Treasurer International Society for Environmental Epidemiology (ISEE)
- Ozlem Uzuner, George Mason University
- Alfonso Valencia Herrera, Barcelona Supercomputing Center (BSC-CNS), Spain