Connectionists: Invitation to MEDDOPROF shared task on occupation detection overview session

[Salvador Lima]

Hi, everyone!

We would like to invite you to the MEDDOPROF shared task overview session,
which will be held as part of IberLEF 2021 and in conjunction with the
XXXVII International Conference of the Spanish Society for Natural Language
Processing, next *September 21st*.

MEDDOPROF focuses on the recognition and normalization of occupations in
clinical texts in Spanish. Occupations have an important influence on our
health. An entire medical specialty (occupational medicine) is centered
around them, dealing with (amongst others) workplace accidents, exposure 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.

In the overview session, we will present the main aspects of the task and
participants will present their systems. The program is included at the end
of this email. Additionally, a shorter plenary session will be held in the
evening.

If you want to know more, the shared task's paper was recently released on
the SEPLN journal (
http://journal.sepln.org/sepln/ojs/ojs/index.php/pln/article/view/6393) and
the participant system descriptions are available at CEUR (
http://ceur-ws.org/Vol-2943/). You can also visit the MEDDOPROF website at
https://temu.bsc.es/meddoprof/ and download the MEDDOPROF Gold Standard at
https://doi.org/10.5281/zenodo.5070540.

*Date: *September, 21st

*Registration: *https://form.jotform.com/cedi2020/inscripcioncedi
The registration form is in Spanish, but the workshop is completely in
English! If you need help with the formulary, please visit this link (
http://www.hitz.eus/sepln2021/?q=node/12) or write back to me and I'll try
to help you.

*Organizers: *

   - *Martin Krallinger*, Barcelona Supercomputing Center, Spain
   - *Eulàlia Farre-Maduell*, Barcelona Supercomputing Center, Spain
   - *Antonio Miranda Escalada*, Barcelona Supercomputing Center, Spain
   - *Salvador Lima López*, Barcelona Supercomputing Center, Spain
   - *Vicent Brivá-Iglesias*, Dublin City University, Ireland

*Scientific committee:*

   - *Sophia Ananadiou*, Department of Computer Science, University of
   Manchester, UK
   - *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

*Schedule:*

Local Time (CEST) - September 21nd, 2021 Title Presenter Affiliation
11:00-11:30 am Overview of the Plan TL/BSC MEDDOPROF Shared Task on
Detection and Normalization of Occupations in Spanish Medical
Documents Salvador
Lima-López Barcelona Supercomputing Center, Spain
11:30-11:40 am NLNDE at MEDDOPROF: Boosting Transformers in a Low-Resource
Setting Lukas Lange Bosch Center for Artificial Intelligence, Germany
11:40-11:50 am Vicomtech at MEDDOPROF: Automatic Information Extraction and
Disambiguation in Clinical Text Elena Zotova Vicomtech, Spain
11:50-12:00 am TALP at MEDDOPROF: Everything Transformers: Recognition,
Classification and Normalisation of Professions and Family Relations Salvador
Medina Herrera Universitat Politécnica de Catalunya, Spain
12:00-12:10 am EdIE-KnowLab at MEDDOPROF: BERT and Approximate String
Matching for Automatic Recognition and Normalization of Professions in
Spanish Medical Documents Víctor Suárez-Paniagua University of Edinburgh, UK
12:10-12:20 pm SINAI at MEDDOPROF: BERT Representations to Identify
Professions and Employment Statuses in Health data José Alberto Mesa
Murgado Universidad
de Jaén, Spain
12:20-12:30 pm Conclusions and wrap-up on MEDDOPROF and ongoing Plan TL/BSC
evaluation efforts Martin Krallinger Barcelona Supercomputing Center, Spain

I hope to see you next week!

On behalf of the MEDDOPROF track organizers,
Salvador Lima Lopez
RESEARCH ENGINEER
Life Sciences - Text Mining, BSC-CNS
Barcelona, Spain
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