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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

    Wordtune is an AI powered reading and writing companion capable of fixing grammatical errors, understanding context and meaning, suggesting paraphrases or alternative writing tones, and generating written text based on context. [1] [2] [3] It is developed by the Israeli AI company AI21 Labs. [4] [5] [6] [7]

  4. Multi-document summarization - Wikipedia

    en.wikipedia.org/wiki/Multi-document_summarization

    Multi-document summarization is an automatic procedure aimed at extraction of information from multiple texts written about the same topic. The resulting summary report allows individual users, such as professional information consumers, to quickly familiarize themselves with information contained in a large cluster of documents.

  5. YandexGPT - Wikipedia

    en.wikipedia.org/wiki/YandexGPT

    YandexGPT is a neural network of the GPT family developed by the Russian company Yandex LLC.YandexGPT can create and revise texts, generate new ideas and capture the context of the conversation with the user.

  6. Facebook is reportedly developing AI to summarize news - AOL

    www.aol.com/facebook-reportedly-developing-ai...

    According to a report from BuzzFeed News, Facebook is testing an AI-powered tool called TL;DR (Too Long; Didn’t Read) to summarize news pieces, so you don’t even have to click through to read ...

  7. Word2vec - Wikipedia

    en.wikipedia.org/wiki/Word2vec

    The space of documents is then scanned using HDBSCAN, [20] and clusters of similar documents are found. Next, the centroid of documents identified in a cluster is considered to be that cluster's topic vector. Finally, top2vec searches the semantic space for word embeddings located near to the topic vector to ascertain the 'meaning' of the topic ...

  8. Large language model - Wikipedia

    en.wikipedia.org/wiki/Large_language_model

    A large language model (LLM) is a type of machine learning model designed for natural language processing tasks such as language generation.LLMs are language models with many parameters, and are trained with self-supervised learning on a vast amount of text.

  9. Microsoft Office shared tools - Wikipedia

    en.wikipedia.org/wiki/Microsoft_Office_shared_tools

    Microsoft Clip Organizer is Microsoft's clip art organizing software allowing users to find drawings, photographs, sounds, videos, and other media clips to include in presentations, publications, and other Office documents. It comes with a variety of stock media clips and offers more selection on the Microsoft Office Online website.

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