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  2. Curriculum vitae - Wikipedia

    en.wikipedia.org/wiki/Curriculum_vitae

    ˈ v iː t aɪ,-ˈ w iː t aɪ,-ˈ v aɪ t iː /, [a] [1] [2] [3] Latin for 'course of life', often shortened to CV) is a short written summary of a person's career, qualifications, and education. This is the most common usage in British English. [1] [3] In North America, the term résumé (also spelled resume) is used, referring to a short ...

  3. What Is White Font and Can It Help My Resume? - AOL

    www.aol.com/news/2010-06-07-white-font.html

    At first glance it seems like a clever idea and a great way to pack in those important keywords without compromising the visual appeal of the resume so you can get your resume to the top of the ...

  4. 10 Useless Resume Words and 10 Eye-Catching Ones - AOL

    www.aol.com/news/2011-07-27-ten-useless-resume...

    By Beth Braccio Hering, Special to CareerBuilder "Generic hyperbole belongs on cereal boxes, not on resumes," says Duncan Mathison, a career consultant and co-author of "Unlock the Hidden Job ...

  5. Résumé - Wikipedia

    en.wikipedia.org/wiki/Résumé

    A résumé or resume (or alternatively resumé), [a] [1] is a document created and used by a person to present their background, skills, and accomplishments. Résumés can be used for a variety of reasons, but most often are used to secure new jobs, whether in the same organization or another.

  6. Executive summary - Wikipedia

    en.wikipedia.org/wiki/Executive_summary

    An executive summary (or management summary, sometimes also called speed read) is a short document or section of a document produced for business purposes. It summarizes a longer report or proposal or a group of related reports in such a way that readers can rapidly become acquainted with a large body of material without having to read it all.

  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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