Before revision:  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 .
After revision:  Namely , we modify the Transformer encoder 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 .