Updates/extension/multilingual data: Final CFP LivingNER shared task
Martin Krallinger
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 identifiers.
Key information:
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:
- LivingNER-Clinical NER: automatic detection of mentions of species (both human and non-human).
- LivingNER-Species Norm: finding mentions of species and mapping them to their corresponding taxonomy concept identifiers.
- 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)
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