Connectionists: [CfP] NLP/NER applied to occupational health: professions/occupations in health related content (MEDDOPROF task updates)

[Salvador Lima]

[apologies for cross-posting!]

CALL FOR PARTICIPATION

ENGLISH VERSION

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€]

We are organizing the first task specifically focusing on the automatic
recognition and normalization (entity linking) of professions from medical
documents.

We foresee that MEDDOPROF will contribute in using NLP techniques to
extract critical health information related to patient occupations, such as:

- Exposure to toxic substances

- Infectious pathogens

- Allergies

- Work accidents

- Mental health issues

The used guidelines, annotations & multi-lingual terminologies could
potentially be adapted to process documents in other languages.

IMPORTANT UPDATES:

Firstly, the system submission date has been EXTENDED to June 9th.

Secondly, we have updated the official training data to include nine
complementary automatically labelled entity mentions (MEDDOPROF-CE -
Complementary Entities) covering: (a) clinical entities (symptoms,
diseases, procedures, drugs, living organisms) and (b) linguistic entities
(negation trigger/scope and uncertainty trigger/scope).

In addition to the practical relevance of the track, the workshop (talks
and proceedings) we will also have awards sponsored by BSC/Plan TL

As MEDDOPROF covers automatic normalization or linking to standard
international multilingual terminologies (ESCO, SNOMED CT), it can also
inspire the development of resources for other application scenarios (human
resources, competitive intelligence, social services,..)

MEDDOPROF 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).

Key information:

MEDDOPROF web: https://temu.bsc.es/meddoprof/

Data: https://doi.org/10.5281/zenodo.4694768

Annotation Guidelines: https://doi.org/10.5281/zenodo.4694675

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
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://mailman.srv.cs.cmu.edu/pipermail/connectionists/attachments/20210521/79fbae95/attachment.html>