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

As a fundamental task in biomedical natural language processing, Medical Named Entity Recognition (MNER) aims to identify and classify medical entities from unstructured medical texts. A major challenge in this task is the prevalence of nested entities, which arise from the syntactic complexity and domain-specific char...

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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