Yuling Li

Addressing Span Imbalance and Semantic Complexity in Nested Medical Named Entity Recognition

The proposed AGPNer integrates a heterogeneous dependency fusion encoder, which reconstructs masked entities to enhance token representations and fine-tunes a hybrid dependency modeling block to learn domain-specific patterns in medical texts; an imbalance-adaptive span decoder, which decouples entity and non-entity sp...