MEDDOPLACE: Location Entity Recognition

The task aims at automatically detecting mentions of locations and location-related entities in clinical case reports in Spanish.

Publication
Salvador Lima-López,, Eulàlia Farré-Maduell, Vicent Briva-Iglesias, Luis Gasco-Sanchez, Martin Krallinger (2023) MEDDOPLACE Shared Task overview: recognition, normalization and classification of locations and patient movement in clinical texts. Procesamiento del Lenguaje Natural, Revista nº 71, septiembre de 2023, pp. 301-311.
Competition
MEDDOPLACE: MEDical DOcument PLAce-related Content Extraction
Language
Spanish
URL Task
https://temu.bsc.es/meddoplace/
NLP topic
(named) entity recognition
Abstract task
Sequence labeling
Dataset
MEDDOPLACE Corpus: Gold Standard annotations for Medical Documents Place-related Content Extraction
Year
2023
Publication link
http://journal.sepln.org/sepl…
Ranking metric
Micro F

Task results

System MicroF1
SINAI 0.8500
NLP_URJC 0.4900
Fade 0.2000

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.