5 citations · 5 across the 5 of their papers we have counts for
Showing 2024Show all
2 papers · 1 filter
cs.CL2024
MD: A Multimodal, Multilingual and Multitask Dataset for Grounded Document-level Information Extraction
Jiang Liu, Bobo Li, Xinran Yang +5
Multimodal information extraction (IE) tasks have attracted increasing attention because many studies have shown that multimodal information benefits text information extraction. H…
cs.MM2024★ 5 cited
Recognizing Everything from All Modalities at Once: Grounded Multimodal Universal Information Extraction
Meishan Zhang, Hao Fei, Bin Wang +4
In the field of information extraction (IE), tasks across a wide range of modalities and their combinations have been traditionally studied in isolation, leaving a gap in deeply re…