Document Automation Architectures and Technologies: A Survey
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Abstract (arXiv)
This paper surveys the current state of the art in document automation (DA). The objective of DA is to reduce the manual effort during the generation of documents by automatically integrating input from different sources and assembling documents conforming to defined templates. There have been reviews of commercial solutions of DA, particularly in the legal domain, but to date there has been no comprehensive review of the academic research on DA architectures and technologies. The current survey of DA reviews the academic literature and provides a clearer definition and characterization of DA and its features, identifies state-of-the-art DA architectures and technologies in academic research, and provides ideas that can lead to new research opportunities within the DA field in light of recent advances in artificial intelligence and deep neural networks.
Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). Builds on 17 of its 119 references that are in the map. First posted on arXiv 23 Sep 2021.
Builds on
17 of 119 references.
References · 17
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5 more
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Citing papers per year: 2023: 1; 2024: 2.
3 papers.