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  2. Wikipedia:Close paraphrasing - Wikipedia

    en.wikipedia.org/wiki/Wikipedia:Close_paraphrasing

    There are a few specific situations when close paraphrasing is permitted. If information is gathered from the public domain or is free use content, close paraphrasing may be acceptable. In some instances it is helpful to capture the words as written, in which case the guidelines for Quotations apply. Lastly, there may be some instances where it ...

  3. Wikipedia:Plagiarism - Wikipedia

    en.wikipedia.org/wiki/Wikipedia:Plagiarism

    For avoidance of plagiarism of text copied from compatibly licensed copyleft publications and public domain publications, see also the section below: Copying material from free sources. You can avoid plagiarism by summarizing source material in your own words followed by an inline citation, or by quoting or closely paraphrasing the source ...

  4. Paraphrasing of copyrighted material - Wikipedia

    en.wikipedia.org/wiki/Paraphrasing_of...

    Free use, similar to the English common law concept of fair use, was only allowed if it did not infringe upon the normal exploitation of the work or the legitimate interests of the author. [ 5 ] In the United States

  5. Template:Summarize - Wikipedia

    en.wikipedia.org/wiki/Template:Summarize

    This section should include a summary of, or be summarized in, another article. See Wikipedia:Summary style for information on how to incorporate it into this article's main text, or the main text of another article.

  6. Help:Download as PDF - Wikipedia

    en.wikipedia.org/wiki/Help:Download_as_PDF

    In the Print/export section select Download as PDF. The rendering engine starts and a dialog appears to show the rendering progress. When rendering is complete, the dialog shows "The document file has been generated. Download the file to your computer." Click the download link to open the PDF in your selected PDF viewer.

  7. Automatic summarization - Wikipedia

    en.wikipedia.org/wiki/Automatic_summarization

    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.

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