Named entity recognition

This task requires automatically finding disease mentions in published clinical cases.

All disease mentions are defined by their corresponding character offsets (start character and end character) in UTF-8 plain text clinical cases. 

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 .
Competition
DisTEMIST at BioASQ: Automatic detection and normalization of diseases from clinical texts
Language
Spanish
NLP topic
(named) entity recognition
Abstract task
Sequence labeling
Dataset
DisTEMIST
Year
2022
Publication link
http://ceur-ws.org/Vol-3180/p…
Ranking metric
Macro F1

Task results

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.