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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.
Before creating a draft article, you can practice by first editing in Wikipedia's community sandbox your personal sandbox.It's a great way to try out editing without affecting live articles.
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Wikipedia began as a complementary project for Nupedia, a free online English-language encyclopedia project whose articles were written by experts and reviewed under a formal process. [20] It was founded on March 9, 2000, under the ownership of Bomis , a web portal company.
On Wikipedia and other sites running on MediaWiki, Special:Random can be used to access a random article in the main namespace; this feature is useful as a tool to generate a random article.
These summaries appear in recent changes, page histories, and contributions lists, unless you provide your own edit summary. Auto edit summaries exist for several actions, if the user fails to provide an edit summary: Blanking a page; Replacing entire page with other text, removing more than 90% of the content of a page
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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.
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