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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...

Yuling Li, Yang-Juan Hu, Yi-Ming Bao et al. · 0 citations

Invariant Subgraph Learning via Effective Environment Subgraph Augmentation for Generalizable Graph Neural Network

With the increasing prevalence of graph data in various practical applications, Graph Neural Networks (GNNs) have established themselves as essential tools for effective graph data processing. However, existing GNNs always perform well on in-distribution data, but exhibit significant performance degradation under distr...

Yu-Jie Wang, Kui Yu, Xiang Wang et al. · 0 citations

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