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  2. PDF - Wikipedia

    en.wikipedia.org/wiki/PDF

    A PDF file is organized using ASCII characters, except for certain elements that may have binary content. The file starts with a header containing a magic number (as a readable string) and the version of the format, for example %PDF-1.7.

  3. File:Amerithrax Investigative Summary.pdf - Wikipedia

    en.wikipedia.org/wiki/File:Amerithrax...

    Original file (1,275 × 1,650 pixels, file size: 640 KB, MIME type: application/pdf, 96 pages) This is a file from the Wikimedia Commons . Information from its description page there is shown below.

  4. File:Citing your sources.pdf - Wikipedia

    en.wikipedia.org/wiki/File:Citing_your_sources.pdf

    Original file (1,275 × 1,650 pixels, file size: 397 KB, MIME type: application/pdf) This is a file from the Wikimedia Commons . Information from its description page there is shown below.

  5. History of PDF - Wikipedia

    en.wikipedia.org/wiki/History_of_PDF

    It is intended for the developer of software that creates PDF files (conforming writers), software that reads existing PDF files and interprets their contents for display and interaction (conforming readers) and PDF products that read and/or write PDF files for a variety of other purposes (conforming products).

  6. File:Analysis and Assessment of Gateway Process.pdf

    en.wikipedia.org/wiki/File:Analysis_and...

    Original file (1,275 × 1,650 pixels, file size: 2.63 MB, MIME type: application/pdf, 30 pages) This is a file from the Wikimedia Commons . Information from its description page there is shown below.

  7. File:Reporting Systems Rubric, Summary.pdf - Wikipedia

    en.wikipedia.org/wiki/File:Reporting_Systems...

    You are free: to share – to copy, distribute and transmit the work; to remix – to adapt the work; Under the following conditions: attribution – You must give appropriate credit, provide a link to the license, and indicate if changes were made.

  8. Multi-document summarization - Wikipedia

    en.wikipedia.org/wiki/Multi-document_summarization

    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.

  9. 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.