Titlebook: Document Analysis and Recognition - ICDAR 2023; 17th International C Gernot A. Fink,Rajiv Jain,Richard Zanibbi Conference proceedings 2023

Ceramic

闯入

DAMGCN: Entity Linking in Visually Rich Documents with Dependency-Aware Multimodal Graph Convolution the public FUNSD and XFUND datasets show that our DAMGCN achieves competitive results, i.e., F1 scores of 0.8063 and 0.7303 in entity linking tasks, respectively, while the model size is much smaller than the state-of-the-art models.

floaters

EXPEL

ABYSS

licence

narcotic

恭维

Melatonin

CED: Catalog Extraction from Documentshat our proposed method outperforms baseline systems and shows a good ability to transfer. We believe the CED task could fill the gap between raw text segments and information extraction tasks on extremely long documents. Data and code are available at

矛盾心理