Detecting seven types of named entities and hedge cues in a corpus of pediatric ultrasound reports from an Argentinian public hospital. The following entities are distinguished: Anatomical Entity, Finding, Location, Measure, Type of Measure, Degree, and Abbreviation. The following hedge cues are considered: Negation, Uncertainty, and Conditional-Temporal.
Publicación
Viviana Cotik, Laura Alonso Alemany, Darío Filippo, Franco Luque, Roland Roller, Jorge Vivaldi, Ammer Ayach, Fernando Carranza, Lucas Defrancesca, Antonella Dellanzo, Macarena Fernández Urquiza (2021) Overview of CLEF eHealth Task 1 - SpRadIE: A challenge on information extraction from Spanish Radiology Reports. Proceedings of Overview of CLEF eHealth Task 1 - SpRadIE: A challenge on information extraction from Spanish Radiology Reports.
Idioma
Español (Argentina)
NLP topic
Tarea abstracta
Dataset
Año
2021
Enlace publicación
Métrica Ranking
Micro F
Mejores resultados para la tarea
| Sistema | MicroPrecision | MicroRecall | MicroF1 Ordenar ascendente |
|---|---|---|---|
| EdIE (UK) run2 | 0.8724 | 0.8385 | 0.8551 |
| LSI (Spain) run1 | 0.9028 | 0.7833 | 0.8388 |
| CTB (Spain, Colombia) run3 | 0.7862 | 0.7832 | 0.7847 |
| HULAT (Spain) run1 | 0.7838 | 0.7308 | 0.7564 |
| SINAI (Spain) run2 | 0.8607 | 0.6443 | 0.7370 |
