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 highlights the need to bring document classification benchmarking closer to real-
world applications, both in the nature of data tested (X: multi-channel, multi-paged, multi …

Abstract Information extraction from semi-structured documents is crucial for frictionless
business-to-business (B2B) communication. While machine learning problems related to …

The lack of data for information extraction (IE) from semi-structured business documents is a
real problem for the IE community. Publications relying on large-scale datasets use only …

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

Key field information extraction from documents is an increasingly covetable task. Previous
related work has touched upon the subject through the lens of rule-based systems or …

This paper investigates the impact of incorporating Optical Character Recognition (OCR)
information into object detection models for extracting key information fields from invoices …

Modern machine learning models can achieve impressive results in many tasks, but often
fail to express reliably how confident they are with their predictions. In an industrial setting …

The 45th European Conference on Information Retrieval (ECIR 2023) was held in Dublin,
Ireland, during April 2–6, 2023, and brought together hundreds of researchers from Europe …

Abstract The Automatic Information Exchange policy implemented in Indonesia since 2018
has found obstacles in the utilization and processing of AEoI data. This research aims to …