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Robust Layout-aware IE for Visually Rich Documents with Pre-trained Language Models
[article]
2020
arXiv
pre-print
Many business documents processed in modern NLP and IR pipelines are visually rich: in addition to text, their semantics can also be captured by visual traits such as layout, format, and fonts. We study the problem of information extraction from visually rich documents (VRDs) and present a model that combines the power of large pre-trained language models and graph neural networks to efficiently encode both textual and visual information in business documents. We further introduce new
arXiv:2005.11017v1
fatcat:bynxbzzapfduvauggpye5yifhy