CANTEMIST - Named entity recognition

The task requires finding tumor morphology mentions automatically in text. All tumor morphology mentions are defined by their corresponding character offsets (start character and end character) in UTF-8 plain text medical documents.

Publication
Antonio Miranda-Escalada, Eulàlia Farré and Martin Krallinger (2020) Named Entity Recognition, Concept Normalization and Clinical Coding: Overview of the Cantemist Track for Cancer Text Mining in Spanish, Corpus, Guidelines, Methods and Results. Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2020).
Competition
CANcer TExt Mining Shared Task – tumor named entity recognition
Language
Spanish
NLP topic
(named) entity recognition
Abstract task
Sequence labeling
Dataset
CANTEMIST
Year
2020
Publication link
http://ceur-ws.org/Vol-2664/c…
Ranking metric
Micro F

Task results

System MicroPrecision MicroRecall MicroF1
HITSZ-ICRC 0.8710 0.8680 0.8700
Vicomtech 0.8680 0.8710 0.8690
SINAI 0.8590 0.8510 0.8550
NLNDE 0.8540 0.8520 0.8530
NCU-IISR 0.8490 0.8510 0.8500

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.