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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.
A story generator or plot generator is a tool that generates basic narratives or plot ideas. The generator could be in the form of a computer program, a chart with multiple columns, a book composed of panels that flip independently of one another, or a set of several adjacent reels that spin independently of one another, allowing a user to select elements of a narrative plot.
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.
Storyland is a browser-based narrative work of electronic literature.The project is included in the first Electronic Literature Collection. [1] It was created by Nanette Wylde in 2000 and is considered a form of Combinatory Narrative or Generative Poetry which is created with the use of the computer's random function.
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A plot summary is not a recap. It should not cover every scene or every moment of a story. A summary is not meant to reproduce the experience of reading or watching the work. In fact, readers might be here because they didn't understand the original. Just repeating what they have already seen or read is unlikely to help them.
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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. Depending on your browser, it's also possible to load a random page using a keyboard shortcut (in Firefox , Edge , and Chrome Alt-Shift + X ).
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