Updates/extension/multilingual data: Final CFP LivingNER shared task

FINAL Call for Participation LivingNER Shared Task (IberLEF2022)

 Named entity recognition, normalization & classification of species,
pathogens, and food

https://temu.bsc.es/livingner


What’s new: Multilingual Resources and Schedule update




The LivingNER track focuses on the automatic detection of species mentions
of clinical relevance and their normalization to taxonomy concept
identifiers.


Key information:

   -

   Web: https://temu.bsc.es/livingner/
   -

   Data: https://doi.org/10.5281/zenodo.6376662
   -

   Guidelines: https://doi.org/10.5281/zenodo.6385162
   -

   Registration: https://temu.bsc.es/livingner/registration/
   -

   *Multilingual LivingNER*: https://doi.org/10.5281/zenodo.6376662

LivingNER focuses on the automatic detection of species mentions (humans,
plants, animals, insects, pathogens) and their normalization to taxonomy
concepts), together with an additional use case track.

*Udapte/New - Multilingual Resources:*

We have released multilingual data resources to foster the development of
tools not only for Spanish but also for content in *English* and Romance
languages including: *French*, *Portuguese*, *Italian*, *Romanian* and
*Catalan*.


*Applications*:
The results of LivingNER are expected to be relevant for text mining
applied to:


   - Infectious diseases (and mode of transmission), animal causing
   injuries, bites
   - Microorganisms, antibiotic resistance, microbiome
   - Hospital-acquired infections
   - Allergies & food (incl. diets, intoxications, certain toxic habits,
   drug-food interactions)
   - Epidemiology and family history (contacts, cohabitants, and family
   members)


*Sub-Tracks*:
LivingNER is part of the IberLEF 2022 evaluation initiative (co-located
with SEPLN 2022), with thee sub-tracks:


   1. *LivingNER-Clinical NER*: automatic detection of mentions of species
   (both human and non-human).
   2. *LivingNER-Species Norm*: finding mentions of species and mapping
   them to their corresponding taxonomy concept identifiers.
   3. *LivingNER-Clinical IMPACT*: classifying documents according to
   clinical relevance (a.pets/farm animals, b. animal causing injuries, c.
   food, and d. hospital-acquired infections) & detecting evidence for
   classification.


Schedule

   -

   Test set release (start of evaluation period): April 22nd, 2022
   -

   End of the evaluation period (system submissions): June 12, 2022
   -

   Working papers submission: June 24, 2022
   -

   Notification of acceptance (peer-reviews): July 4, 2022
   -

   Camera-ready system descriptions: July 11, 2022
   -

   IberLEF @ SEPLN 2022: September 2022


Publications and workshop


Participants will be invited to contribute a systems description paper for
the IberLEF (SEPLN 2022) proceedings and to give a short presentation at
the IberLEF workshop.


Main Organizers

   -

   Martin Krallinger, Barcelona Supercomputing Center, Spain
   -

   Eulàlia Farré, Barcelona Supercomputing Center, Spain
   -

   Salvador Lima, Barcelona Supercomputing Center, Spain
   -

   Antonio Miranda-Escalada, Barcelona Supercomputing Center, Spain



Scientific Committee

   -

   Tome Eftimov, Jožef Stefan Institute, Ljubljana, Slovenia
   -

   Irena Spasic, School of Computer Science & Informatics, co-Director of
   the Data Innovation Research Institute, Cardiff University, UK
   -

   Kirk Roberts, School of Biomedical Informatics, University of Texas
   Health Science Center, USA
   -

   Felipe Bravo, Assistant Professor, University of Chile, Chile
   -

   Karin Verspoor, School of Computing and Information Systems, Health and
   Biomedical Informatics Centre, University of Melbourne, Australia
   -

   Tristan Naumann, Microsoft Research Healthcare NExT, USA
   -

   Claire Nédellec, University Paris-Saclay, INRAE
   -

   Enea Parimbelli, Assistant Professor at University of Pavia, Italy
   -

   Casimiro Pio Carrino, Research Engineer at Barcelona Supercomputing
   Center, Spain
   -

   Zhiyong Lu, Deputy Director for Literature Search, National Center for
   Biotechnology Information (NCBI), USA
   -

   Ashish Tendulkar, Google Research
   -

   Rosa Estopà Bagot, Universitat Pompeu Fabra, Spain
   -

   Carlos Luis Parra Calderón, Head of Technological Innovation, Virgen del
   Rocío University Hospital, Institute of Biomedicine of Seville, Spain
   -

   Thierry Declerck, Senior Consultant at DFKI GmbH, Germany
   -

   Ernestina Menasalvas, Universidad Politécnica de Madrid, Spain
   -

   Koldo Gojenola, University of the Basque Country, Spain
   -

   Aurélie Névéol, LIMSI-CNRS, Université Paris-Sud, France
   -

   Giorgio Maria Di Nunzio, University of Padua, Italy
   -

   Anália Lourenço, Universidade de Vigo, Spain
   -

   Frank Emmert-Streib, Tampere University, Finland
   -

   Pablo Serrano, Planning Director at Hospital 12 de Octubre, Spain
   -

   Yoan Gutiérre, University of Alicante, Spain
   -

   Vasile Păiș, Research Institute for Artificial Intelligence "Mihai
   Drăgănescu", Romanian Academy
   -

   Enrique Carrillo de Santa Pau,IMDEA Food Institute, Spain


=======================================
Martin Krallinger, Dr.
Head of Biological Text Mining Unit
Barcelona Supercomputing Center (BSC-CNS)
https://www.linkedin.com/in/martin-krallinger-85495920/
 =======================================