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


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

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

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

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



   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)

Received on Saturday, 14 May 2022 08:18:33 UTC