4 papers
CLIC: Contextual Language-Informed Cardiac Pathology Classification
Giovani D. Lucafo, Rafael da Costa Silva, João Lucas Luz Lima Sarcinelli +2
The electrocardiogram (ECG) is the gold standard for non-invasive diagnosis of cardiac pathologies and is a fundamental pillar of cardiovascular medicine. Recent progress in deep l…
Text2Graph: Combining Lightweight LLMs and GNNs for Efficient Text Classification in Label-Scarce Scenarios
João Lucas Luz Lima Sarcinelli, Ricardo Marcondes Marcacini
Large Language Models (LLMs) have become effective zero-shot classifiers, but their high computational requirements and environmental costs limit their practicality for large-scale…
Local LLM Ensembles for Zero-shot Portuguese Named Entity Recognition
João Lucas Luz Lima Sarcinelli, Diego Furtado Silva
Large Language Models (LLMs) excel in many Natural Language Processing (NLP) tasks through in-context learning but often under-perform in Named Entity Recognition (NER), especially…
MariNER: A Dataset for Historical Brazilian Portuguese Named Entity Recognition
João Lucas Luz Lima Sarcinelli, Marina Lages Gonçalves Teixeira, Jade Bortot de Paiva +1
Named Entity Recognition (NER) is a fundamental Natural Language Processing (NLP) task that aims to identify and classify entity mentions in texts across different categories. Whil…