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