LAMBERT: Layout-Aware language Modeling using BERT for information extraction.
Łukasz Garncarek, Rafał Powalski, Tomasz Stanisławek, Bartosz Topolski, Piotr Halama, Filip Graliński · arXiv (Cornell University) · 2020
In this paper we introduce a novel approach to the problem of understanding documents where the local semantics is influenced by non-trivial layout. Namely, we modify the Transformer architecture in a way that allows it to use the graphical features defined by the layout, without the need to re-learn the language semantics from scratch, thanks to starting the training process from a model pretrained on classical language modeling tasks.