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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.
For advice on writing style and formatting in a bullet-point format, see Wikipedia:Styletips; For summaries of some Wikipedia protocols and conventions, see Wikipedia:Dos and don'ts; If you don't want to use wikitext markup, try Wikipedia:VisualEditor instead; To ask a question, see Wikipedia:Questions to locate the appropriate venue(s)
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Text Python Any 2002/01/— 3.0 (2008) MIT: fpdoc (Free Pascal Documentation Generator) Sebastian Guenther and Free Pascal Core Text (Object)Pascal/Delphi FPC tier 1 targets 2005 3.2.2 GPL reusable parts are GPL with static linking exception Haddock: Simon Marlow: Text Haskell Any 2002 2.15.0 (2014) BSD HeaderDoc: Apple Inc. Text
An integrated outline is a composition tool for writing scholastic works, in which the sources, and the writer's notes from the sources, are integrated into the outline for ease of reference during the writing process. A software program designed for processing outlines is called an outliner.
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