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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.
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.
{{Obituary|reason=A note about what the issue is.|{{subst:DATE}}}} – basic usage at top of article – include a note (only visible in the source at present) if the reason for using this tag isn't immediately apparent and/or isn't already under discussion on the talk page.
A DIY approach. Generative AI tools, which use algorithms to create new content such as text, video, audio and code, can try to answer questions the way someone who died might, but the accuracy ...
The idea is that you open a long-form article of some kind and Google's AI puts together a bullet-point list of key points within the article. Click on one, and it's supposed to take you to the ...
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 ...
{{Obituary|reason=A note about what the issue is.|{{subst:DATE}}}} – basic usage at top of article – include a note (only visible in the source at present) if the reason for using this tag isn't immediately apparent and/or isn't already under discussion on the talk page.
I can see this ladies issues with her mother. … My sisters and I are very close and have decided we don’t need people who don’t care about us!” Commenter Stacy echoed that, writing, “My ...
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