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 …

Document information extraction tasks performed by humans create data consisting of a
PDF or document image input, and extracted string outputs. This end-to-end data is naturally …

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 from document collections is a fundamental and important step to
understand, structure and analyze data. Many approaches with rules and deep learning …

Document types, where visual and textual information plays an important role in their
analysis and understanding, pose a new and attractive area for information extraction …

Extracting key information from documents, such as receipts or invoices, and preserving the
interested texts to structured data is crucial in the document-intensive streamline processes …

Key information extraction (KIE) from document images requires understanding the
contextual and spatial semantics of texts in two-dimensional (2D) space. Many recent …

The present paper is focused on information extraction from key fields of invoices using two
different methods based on sequence labeling. Invoices are semi-structured documents in …

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 …

Recently, there has been growing interest in automating the extraction of key information
from document images. Previous methods mainly focus on modelling the complex …