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  2. 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.

  3. Wordtune - Wikipedia

    en.wikipedia.org/wiki/Wordtune

    Users can use the tool to paraphrase text being composed on services like Gmail, Google Docs, Facebook, Twitter, and LinkedIn. [ 10 ] On November 14, 2021, AI21 released Wordtune Read — an AI-powered Chrome extension and standalone app designed to process large amounts of written text from websites, documents, or YouTube videos, and summarize ...

  4. QuillBot - Wikipedia

    en.wikipedia.org/wiki/QuillBot

    Upload file; Special pages ... QuillBot is a software developed in 2017 that uses artificial intelligence to rewrite and paraphrase text. [1 ... Text is available ...

  5. YandexGPT - Wikipedia

    en.wikipedia.org/wiki/YandexGPT

    YandexGPT can create and revise texts, generate new ideas and capture the context of the conversation with the user. [1] YandexGPT is trained using a dataset which includes information from books, magazines, newspapers and other open sources available on the internet. The neural network may get facts wrong and fantasize, but as it learns, it ...

  6. Paraphrasing (computational linguistics) - Wikipedia

    en.wikipedia.org/wiki/Paraphrasing...

    Paraphrase or paraphrasing in computational linguistics is the natural language processing task of detecting and generating paraphrases. Applications of paraphrasing are varied including information retrieval, question answering , text summarization , and plagiarism detection . [ 1 ]

  7. GPT-2 - Wikipedia

    en.wikipedia.org/wiki/GPT-2

    It is a general-purpose learner and its ability to perform the various tasks was a consequence of its general ability to accurately predict the next item in a sequence, [2] [7] which enabled it to translate texts, answer questions about a topic from a text, summarize passages from a larger text, [7] and generate text output on a level sometimes ...

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