TaxEL: Taxonomy-Enhanced Entity Representation Learning for Biomedical Entity Linking.
TaxEL introduces Taxonomy-Guided Contrastive Sampling (TGCS), which systematically integrates both local ontology structure and global semantic similarity to generate informative positive and hard negative samples for each mention; and Structured Semantic Alignment Loss (SSAL), which enforces alignment between model predictions and fine-grained semantic distributions derived from the taxonomy, enabling explicit control over prediction granularity.