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  2. Résumé parsing - Wikipedia

    en.wikipedia.org/wiki/Résumé_parsing

    With recent advancements in machine learning, the text mining and analysis processes, which ensure up to 95% accuracy in data processing, many AI technologies have sprung up to help the job seekers in the creation of application documents. These services focus on creating ATS-friendly resumes, execute resume check and screening, and help with ...

  3. Larry Tesler - Wikipedia

    en.wikipedia.org/wiki/Larry_Tesler

    From there, the two developed the basic copy and paste function, now a standard feature in computing. [4] Tesler also established the idea that computer interfaces should be modeless, where all actions are available to a user at all times, rather than modal, requiring the user to enter a specific mode to perform them. Gypsy was programmed to ...

  4. Applicant tracking system - Wikipedia

    en.wikipedia.org/wiki/Applicant_tracking_system

    Recent changes include the use of artificial intelligence (AI) tools and natural language processing to facilitate guided semantic search capabilities [citation needed] offered through cloud-based platforms that allow companies to score and sort resumes with better alignment to the job requirements and descriptions. With the advent of ATS ...

  5. Wikipedia:Tools/Editing tools - Wikipedia

    en.wikipedia.org/wiki/Wikipedia:Tools/Editing_tools

    A very simple Copy & Paste Excel-to-Wiki Converter; A free open source tool to convert from CSV and Excel files to wiki table format: csv2other; Spreadsheet-to-MediaWiki-table-Converter This class constructs a MediaWiki-format table from an Excel/GoogleDoc copy & paste. It provides a variety of methods to modify the style.

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  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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