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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 ofdocuments by automatically integrating input from different sources andassembling documents conforming to defined templates. There have been reviewsof commercial solutions of DA, particularly in the legal domain, but to datethere has been no comprehensive review of the academic research on DAarchitectures and technologies. The current survey of DA reviews the academicliterature and provides a clearer definition and characterization of DA and itsfeatures, identifies state-of-the-art DA architectures and technologies inacademic research, and provides ideas that can lead to new researchopportunities within the DA field in light of recent advances in artificialintelligence and deep neural networks.

Document Automation Architectures and Technologies: A Survey