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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.
This is page providing resources that editors can use to create articles about properties and districts listed on the U.S. National Register of Historic Places.Resources of national scope are given first, then by-state-and-territory reports of what resources are available, followed by useful resources for maintenance and other purposes.
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.
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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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