DisTEMIST 2022: Entity linking

This tasks requires automatically finding disease mentions in published clinical cases and assigning a SNOMED CT term to each mention.

 

Publication
Antonio Miranda-Escalada, Luis Gascó, Salvador Lima-López, Eulàlia Farré-Maduell, Darryl Estrada, Anastasios Nentidis, Anastasia Krithara, Georgios Katsimpras, Georgios Paliouras, Martin Krallinger (2022) Overview of DisTEMIST at BioASQ: Automatic detection and normalization of diseases from clinical texts: results, methods, evaluation and multilingual resources. Working Notes of Conference and Labs of the Evaluation (CLEF) Forum. CEUR Workshop Proceedings. http://ceur-ws.org/Vol-3180/paper-11.pdf .
Language
Spanish
NLP topic
Abstract task
Dataset
Year
2022
Ranking metric
Macro F1

If you have published a result better than those on the list, send a message to odesia-comunicacion@lsi.uned.es indicating the result and the DOI of the article, along with a copy of it if it is not published openly.