SAMA: Semantic Anchor-aligned Augmentation for Unified Low-Resource Multimodal Information Extraction

arXiv:2606.18780v1 Announce Type: cross Abstract: Multimodal Information Extraction (MIE)-covering tasks such as Multimodal Named Entity Recognition (MNER), Relation Extraction (MRE), and Event Extraction (MEE)-is essential for understanding multimedia content but remains constrained by severe data scarcity. Although data augmentation is a promising remedy, existing approaches are impeded by coarse cross-modal alignment and fragmented, task-specific designs that fail to exploit shared semantic knowledge. To overcome these limitations, we introduce Semantic Anchor-aligned Multimodal Augmentatio

Source: arXiv cs.CL — read the full report at the original publisher.

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