The task aims to find exact mentions of occupations in clinical cases and reports of individual patients published in medical journals, and label them according to the type of occupation: profession, employment status or activity.
Publication
Salvador Lima-López, Eulàlia Farré-Maduell, Antonio Miranda-Escalada, Vicent Brivá-Iglesias, Martin Krallinger (2021) NLP applied to occupational health: MEDDOPROF shared task at IberLEF 2021 on automatic recognition, classification and normalization of professions and occupations from medical texts. Procesamiento del Lenguaje Natural, Revista nº 67, septiembre de 2021, pp. 243-256
Language
Spanish
NLP topic
Abstract task
Dataset
Year
2021
Publication link
Ranking metric
F1
Task results
| System | Precision | Recall | F1 Sort ascending |
|---|---|---|---|
| NLNDE | 0.8550 | 0.7830 | 0.8180 |
| MUCIC | 0.8130 | 0.7880 | 0.8000 |
| SMR-NLP | 0.8540 | 0.7510 | 0.7990 |
| SINAI | 0.8210 | 0.7400 | 0.7780 |
| Vicomtech NLP-team | 0.7580 | 0.7390 | 0.7480 |
