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  2. Paper generator - Wikipedia

    en.wikipedia.org/wiki/Paper_generator

    A paper generator is computer software that composes scholarly papers in the style of those that appear in academic journals or conference proceedings. Typically, the generator uses technical jargon from the field to compose sentences that are grammatically correct and seem erudite but are actually nonsensical. [ 1 ]

  3. Consumer Reports is a United States-based non-profit organization which conducts product testing and product research to collect information to share with consumers so that they can make more informed purchase decisions in any marketplace.

  4. Automated essay scoring - Wikipedia

    en.wikipedia.org/wiki/Automated_essay_scoring

    Automated essay scoring (AES) is the use of specialized computer programs to assign grades to essays written in an educational setting. It is a form of educational assessment and an application of natural language processing. Its objective is to classify a large set of textual entities into a small number of discrete categories, corresponding ...

  5. Consumer Reports - Wikipedia

    en.wikipedia.org/wiki/Consumer_Reports

    Consumer Reports (CR), formerly Consumers Union (CU), is an American nonprofit consumer organization dedicated to independent product testing, investigative journalism, consumer-oriented research, public education, and consumer advocacy.

  6. EduBirdie - Wikipedia

    en.wikipedia.org/wiki/EduBirdie

    EduBirdie connects users with writers through an auction process, where writers bid on the proposals available. Unlike the majority of freelance platforms, each writer is chosen and hired directly by the company through an internal multi-step process: Registration; Test writing; [17] Essay testing; Document verification.

  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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