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Dialogue relation extraction based on Multi-Perspective Contextual Interaction Attention Network
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DOI：10.1016/j.eij.2025.100842.png)
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Abstract
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• A novel dialogue relation extraction model MPCIA-Net is proposed. • DCDM module resolves speaker-utterance entanglement and reference chains. • Asymmetric attention mechanism enhances long-distance dependency modeling.
Keywords:
Dialogue relation extraction
Multi-party dialogues
Dual-stream context disentanglement module
Dual-attention fusion module
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