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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.
The TV style guideline specifies a maximum of 200 words for entries in episode lists and up to 400 words for standalone episode articles. The Video game style guideline advises no more than approximately 700 words. While longer descriptions may appear to provide more information, a concise summary can highlight the most important plot elements.
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Currently it is under development, but it is available for testing as a command line tool. While in beta please restrict editing to your own userspace, or preferably, sign up at Test Wiki and use that. Enter the project test (not Wikipedia) and language test when running make.py to set up the software.
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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.
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