Deep Learning based Key Information Extraction from Business Documents: Systematic Literature Review
It addresses the need for efficiency improvements and automation in business document processing, but is incremental as it reviews existing work.
This systematic literature review analyzed 130 deep learning approaches for key information extraction from business documents published between 2017 and 2024, aiming to identify research opportunities in document understanding.
Extracting key information from documents represents a large portion of business workloads and therefore offers a high potential for efficiency improvements and process automation. With recent advances in Deep Learning, a plethora of Deep Learning based approaches for Key Information Extraction have been proposed under the umbrella term Document Understanding that enable the processing of complex business documents. The goal of this systematic literature review is an in-depth analysis of existing approaches in this domain and the identification of opportunities for further research. To this end, 130 approaches published between 2017 and 2024 are analyzed in this study.