Digital Twin (DT) technology is the tool for monitoring, management and intervening in a
timely manner to prevent disasters in urban areas, transforming them into smart cities. By …

The AI4TWINNING project aims at the automated generation of a system of inter-related
digital twins of the built environment spanning multiple resolution scales providing rich …

Abstract Information extraction from scholarly articles is a challenging task due to the sizable
document length and implicit information hidden in text, figures, and citations. Scholarly …

Recent advances in deep learning and computer vision as well as natural language
processing have been tremendously transformed and reshaped the way machines process …

Despite improved digital access to scholarly knowledge in recent decades, scholarly
communication remains exclusively document-based. The document-oriented workflows in …

Invoice data extraction is crucial in contemporary business environments, streamlining the
processing and organization of voluminous invoice data for efficient management and …

The automation of document processing is gaining recent attention due to the great potential
to reduce manual work through improved methods and hardware. In this area, neural …

The processing of Visually-Rich Documents (VRDs) is highly important in information
extraction tasks associated with Document Intelligence. We introduce DI-Metrics, a Python …

Invoice data extraction is crucial in contemporary business environments, streamlining the
processing and organization of voluminous invoice data for effi-cient management and …

Due to the massive and increasing amount of documents received each day and the number
of steps to process them, the largest companies have turned to document automation …