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Key Information Extraction (KIE) is a crucial task in Visually-Rich Document Understanding (VRDU), comprising two main subtasks: Semantic Entity Recognition (SER) and Relation Extraction (RE). KIE plays a vital role in practical applications such as ...

Key information extraction (KIE) from scanned documents has attracted significant attention due to practical real-world applications. Despite impressive results achieved by incorporating multimodal information within the generative framework, ...

We present a reformulation of the Key-Information Extraction (KIE) problem from document images, as a Next-Sentence Prediction (NSP) task for identifying information in hierarchically structured data. KIE implemented as a Key-Value extraction task,...

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 knowledge from these two data sources. One state-of-the-art data ...

This paper introduces a novel approach for Key Information Extraction (KIE) from diverse documents, namely CompIE, leveraging the strengths of deep graph neural networks and subgraph mining techniques. Focusing on overcoming the limitations of ...${}_{\mathit{}}$

In this paper, we present a novel approach for the task of Key Information Extraction (KIE) from medical prescriptions, a crucial endeavor in healthcare systems. We identify and address the limitations of existing models, including ViBERTGrid and ...

The majority of key information extraction in document analysis work relies on simple layout scenes with few classes, such as the date and amount on invoices or receipts. However, many document applications entail sophisticated layouts with ...

Recently, there has been growing interest in automating the extraction of key information from document images. Previous methods mainly focus on modelling the complex interactions between multimodal features(text, vision and layout) of documents ...

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-based approaches such as the LayoutLM models. Despite the good ...

With the large-scale construction of new substations and the intelligent upgrading of existing substations, higher requirements have been put forward for efficient and intelligent maintenance of substations. In practical applications, the substation ...