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An example of a summarization problem is document summarization, which attempts to automatically produce an abstract from a given document. Sometimes one might be interested in generating a summary from a single source document, while others can use multiple source documents (for example, a cluster of articles on the same topic).
Microsoft Technology Associate was an entry-level certification that validates fundamental technology skills and knowledge in Microsoft products. MTA exams were designed to assess and validate core technical concepts in three primary areas: Databases (MS SQL Server), Development (Visual Studio) and IT Infrastructure (Windows, Windows Server). [1]
Microsoft Azure, or just Azure (/ˈæʒər, ˈeɪʒər/ AZH-ər, AY-zhər, UK also /ˈæzjʊər, ˈeɪzjʊər/ AZ-ure, AY-zure), [5] [6] [7] is the cloud computing platform developed by Microsoft. It has management, access and development of applications and services to individuals, companies, and governments through its global infrastructure.
An executive summary (or management summary, sometimes also called speed read) is a short document or section of a document produced for business purposes. It summarizes a longer report or proposal or a group of related reports in such a way that readers can rapidly become acquainted with a large body of material without having to read it all.
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The published document should be in a format that is not easily altered without a specific knowledge or tools, and yet it is read-only or portable. [17] Hard copy reproduction: Document/image reproduction is often necessary within a document management system, and its supported output devices and reproduction capabilities should be considered. [18]
The CSIAC's Information Assurance (IA) Digest is a semi-weekly news summary for information assurance and software reliability professionals protecting the Global Information Grid (GIG). It is transmitted in an HTML-formatted email and provides links to articles and news summaries across a spectrum of cyber security, information assurance, and ...
More commonly, question-answering systems can pull answers from an unstructured collection of natural language documents. Some examples of natural language document collections used for question answering systems include: a local [clarification needed] collection of reference texts; internal organization [ambiguous] documents and web pages
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