The phrase "automated document" is correct and usable in written English.
It can be used to refer to a document that is created or processed automatically by a system or software without manual intervention.
Example: "The automated document generation process has significantly reduced the time needed to produce reports."
Alternatives: "automated report" or "automated file".
This is a clean, tight document that will go through most automated document converters and come out looking as good as when it went in.
This has brought about a need for efficient and effective methods of automated document understanding, which aims to deliver desired information to users.
We report our experience with a novel approach to interactive information seeking that is grounded in the idea of summarizing query results through automated document clustering.
This work investigates whether a topic-specific automated document ranking system for SRs can be improved using a hybrid approach, combining topic-specific training data with data from other SR topics.
In this paper, we propose a scheme to accelerate the Probabilistic Latent Semantic Indexing (PLSI), which is an automated document indexing method based on a statistical latent semantic model, exploiting the high parallelism of Graphics Processing Unit (GPU).
In particular, we advocate the exploitation of architectural evaluations to collect architecturally significant information semiautomatically and the use of automated document generation to expose the contents of an architectural information repository in an easily accessible form.
The authors' prior work using an automated UMLS document indexing system has been encouraging but has been affected by the generally low indexing precision of such systems.
Google's products are designed to be automated and documented as much as possible through information incorporated into the user interface.
"The [OpenStack] Foundation is known for actually being very good and effectively seeding this kind of formalized, automated and documented governance in open source and the two should work together much closer.
"Workflow designed to automate complex document workflows historically relied on pdf.
However, creating large curated data products, such as those commonly used in genomics (e.g., [ 29, 30]), or through networked observatories, requires methods that are done 'at scale', in other words not manually, and that are automated and extensively documented.
