Enhancing Named Entity Recognition for immunology and immune-mediated disorders

Experimental results demonstrate that our model achieves consistent improvements in F1-score over strong biomedical baselines including BioGPT, BioLinkBERT, and SciFive. Our results confirm that incorporating structured span representations and ontology-aware decoding significantly improves entity extraction for immunology-related texts. The proposed framework provides a robust and interpretable solution for immunology-focused biomedical text mining, facilitating applications in literature curation, biomarker discovery, and clinical decision support.