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).
Language
Spanish
NLP topic
Abstract task
Dataset
Year
2020
Publication link
Ranking metric
Micro F
Task results
System | MicroPrecision | MicroRecall | MicroF1 Sort ascending |
---|---|---|---|
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 |