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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. DeepL Translator - Wikipedia

   en.wikipedia.org/wiki/DeepL_Translator

   DeepL for Windows translating from Polish to French. The translator can be used for free with a limit of 1,500 characters per translation. Microsoft Word and PowerPoint files in Office Open XML file formats (.docx and .pptx) and PDF files up to 5MB in size can also be translated.

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. Apple urged to remove new AI feature after falsely ... - AOL

   www.aol.com/apple-urged-remove-ai-feature...

   Apple introduced its generative-AI tool in the US in June, touting the feature’s ability to summarize specific content “in the form of a digestible paragraph, bulleted key points, a table, or ...

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. Semantic Scholar - Wikipedia

   en.wikipedia.org/wiki/Semantic_Scholar

   The AI technology is designed to identify hidden connections and links between research topics. [14] Like the previously cited search engines, Semantic Scholar also exploits graph structures, which include the Microsoft Academic Knowledge Graph , Springer Nature's SciGraph , and the Semantic Scholar Corpus (originally a 45 million papers corpus ...