The task consists in extracting different aspects of information about clinical procedures. The Clinical Procedure Recognition is a named entity recognition task where participants are challenged to automatically detect mentions of clinical procedures in a corpus of clinical case reports in Spanish.
Publication
Nentidis, A. et al. (2023). Overview of BioASQ 2023: The Eleventh BioASQ Challenge on Large-Scale Biomedical Semantic Indexing and Question Answering. In: Arampatzis, A., et al. Experimental IR Meets Multilinguality, Multimodality, and Interaction. CLEF 2023. Lecture Notes in Computer Science, vol 14163. Springer, Cham. https://doi.org/10.1007/978-3-031-42448-9_19
Language
Spanish
URL Task
NLP topic
Abstract task
Year
2023
Publication link
Ranking metric
Macro F1
Task results
System | MacroF1 Sort ascending |
---|---|
BIT.UA-run4-everything | 0.7985 |
BIT.UA-run0-lc-dense-5-wVal | 0.7946 |
BIT.UA-run1-lc-dense-5-full | 0.7924 |
BIT.UA run3-PlanTL-dense | 0.7923 |
BIT.UA run2-lc-bilstm-all-wVal | 0.7881 |
Vicomtech-run1-xlm roberta | 0.7786 |
Vicomtech-run2-roberta bio | 0.7653 |
SINAI-run1-fine-tuned-roberta | 0.7568 |
Vicomtech-run3-longformer base | 0.7533 |
SINAI-run4-fulltext-LSTM | 0.7444 |
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