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  2. Résumé - Wikipedia

    en.wikipedia.org/wiki/Résumé

    A typical résumé contains a summary of relevant job experience and education. The résumé is usually one of the first items, along with a cover letter and sometimes an application for employment, a potential employer sees regarding the job seeker and is used to screen applicants before offering an interview.

  3. SoftMaker Office - Wikipedia

    en.wikipedia.org/wiki/SoftMaker_Office

    For German the Duden spell and grammar checker and dictionaries are included in the Professional version. [4] It can read and write file formats of Microsoft Office, [7] OpenDocument (word processor only), [7] RTF and HTML. Support for the OpenDocument spreadsheet (ODS) format was added in the Anniversary update released for SoftMaker Office ...

  4. Executive summary - Wikipedia

    en.wikipedia.org/wiki/Executive_summary

    Executive summaries are important as a communication tool in both academia and business. For example, members of Texas A&M University's Department of Agricultural Economics observe that "An executive summary is an initial interaction between the writers of the report and their target readers: decision makers, potential customers, and/or peers.

  5. Compose and send emails in AOL Mail

    help.aol.com/articles/aol-mail-compose-and-contacts

    3. In the "Subject" field, type a brief summary of the email. 4. Type your message in the body of the email. 5. Click Send. Want to write your message using the full screen? Click the Expand email icon at the top of the message.

  6. Wikipedia:Templates - Wikipedia

    en.wikipedia.org/wiki/Wikipedia:Templates

    Templates are pages that are embedded (transcluded) into other pages to allow for the repetition of information.. Help:A quick guide to templates, a brief introduction on templates for beginners

  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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