Information extraction is a key corner-stone in the digitization of office data which requires
the conversion of unstructured to structured data. However, in the actual application to …

Abstract Information extraction (IE) is a vital step of digitization that reduces paperwork in
offices. However, the adaptation of common IE systems to actual business cases faces two …

Like for many text understanding and generation tasks, pre-trained languages models have
emerged as a powerful approach for extracting information from business documents …

Abstract Information extraction plays an important role for data transformation in business
cases. However, building extraction systems in actual cases face two challenges:(i) the …

Extracting information from documents usually relies on natural language processing
methods working on one-dimensional sequences of text. In some cases, for example, for the …

Abstract Transformer-based Language Models are widely used in Natural Language
Processing related tasks. Thanks to their pre-training, they have been successfully adapted …

Information extraction is a well-known topic that plays a critical role in many NLP
applications as its outputs can be considered as an entrance step for digital transformation …

Abstract Information extraction from documents is a ubiquitous first step in many business
applications. During this step, the entries of various fields must first be read from the images …

Abstract Information extraction (IE) for visually-rich documents (VRDs) has achieved SOTA
performance recently thanks to the adaptation of Transformer-based language models …

This paper introduces a new information extraction model for business documents. Different
from prior studies which only base on span extraction or sequence labeling, the model takes …