This paper introduces the DocILE benchmark with the largest dataset of business
documents for the tasks of Key Information Localization and Extraction and Line Item …

This paper provides an overview of the DocILE 2023 Competition, its tasks, participant
submissions, the competition results and possible future research directions. This first …

Extracting key information from documents represents a large portion of business workloads
and therefore offers a high potential for efficiency improvements and process automation …

This paper focuses on Information Extraction from Visually Rich Documents, exploring how
deep learning methods are applied in this field. For the purpose of comparing the …

With the development of digitalization in business, the automatic extraction of information
from semistructured business documents is becoming increasingly important. This paper …

Advancements in Artificial Intelligence and Deep Learning have impacted numerous fields,
particularly through innovations like You Only Look Once for object detection and …

Abstract 2024 marks the 25 th birthday for CLEF, an evaluation campaign activity which has
applied the Cranfield evaluation paradigm to the testing of multilingual and multimodal …

Business Document Information Extraction (BDIE) is the problem of transforming a blob of
unstructured information (raw text, scanned documents, etc.) into a structured format that …

In this paper, we present a comparative analysis of the leading rule-based information
extraction systems in both research and industry, focusing on their main characteristics and …

Information extraction tasks require both accurate, efficient, and generalisable models.
Classical supervised deep learning approaches can achieve the required performance, but …