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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...

Yu-Ling Li, Yang-Juan Hu, Yi-Ming Bao et al. · 0 citations
Aug 2026

LOGIC: LLM-Driven Cross-Scale Feature Coupling for Drug-Disease Interaction Prediction

The key innovation of LOGIC lies in constructing a dictionary of functional groups and symptoms, and performing a simple and intuitive multi-hot encoding of drugs and diseases at the micro-scale, and in employing large language models (LLMs) to derive the meso-scale features of diseases without requiring additional dom...

Yun-Fei He, Shi-Kai Chen, Yu-Chen Zhao et al. · 0 citations

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