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Improving few-shot relation classification with multi-scale hierarchical prototype learning
DOI:10.1016/j.neunet.2025.108124.png)
Abstract
En 中文
• Propose a multi-scale hierarchical prototype learning method for few-shot relation classification. • Integrate inter-set, inter-class, and intra-class interaction for better prototype representation. • Incorporate relational descriptions to emulate human cognition and enhance semantic understanding. • Alleviate data sparsity and improve classification by reducing distribution differences.
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