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Abstractive summarization methods generate new text that did not exist in the original text. [12] This has been applied mainly for text. Abstractive methods build an internal semantic representation of the original content (often called a language model), and then use this representation to create a summary that is closer to what a human might express.
Multi-document summarization is an automatic procedure aimed at extraction of information from multiple texts written about the same topic. The resulting summary report allows individual users, such as professional information consumers, to quickly familiarize themselves with information contained in a large cluster of documents.
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.
An abstract is a brief summary of a research article, thesis, review, conference proceeding, or any in-depth analysis of a particular subject and is often used to help the reader quickly ascertain the paper's purpose. [1]
Perhaps the ultimate document structuring challenge is to generate a good narrative—in other words, a text which starts by setting the scene and giving an introduction/overview; then describes a set of events in a clear fashion, so readers can easily see how the individual events are related and link together; and concludes with a summary/ending.
It provides a number of settings to let the user decide what to do in case the original PDF files contain Acro Forms (Acrobat forms) or an outline and it can generate a table of contents, normalize pages size and page margins and add blank pages. Split PDF files in a number of ways: After every page, even pages or odd pages; After a given set ...
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