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Ruojiao Qiao

1 accepted papers

2025

Multimodal Document-level Triple Extraction via Dynamic Graph Enhancement and Relation-Aware Reflection

EMNLP 2025

Multimodal documents, which are among the most prevalent data formats, combine a large amount of textual and visual content. Extracting structured triples knowledge from these documents is a highly valuable task, aimed at helping users efficiently acquire key entities and their relationships. Howeve