This paper presents GeoContrastNet, a language-agnostic framework to structured
document understanding (DU) by integrating a contrastive learning objective with graph …

Semantic entity recognition (SER) and relation extraction (RE) are the core tasks of
information extraction from visually-rich documents (VrDs). Although self-supervised pre …

Merging information from physical and digital documents is essential in an era when
information is becoming even more relevant. Different strategies have been used to combine …

Document AI is a relatively new research topic that refers to techniques for automatically
reading, understanding, and analyzing business documents. Nowadays, many companies …

Advances in the Visually-rich Document Understanding (VrDU) field and particularly the Key-
Information Extraction (KIE) task are marked with the emergence of efficient Transformer …

The study of automatic processing and comprehension of business documents is known as
Document AI. It covers activities such as reading and evaluating a document's content …