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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.
Google is using AI to create a somewhat unique approach to reading articles online.As outlined in a Tuesday blog post, Google is applying its generative AI efforts towards something called "SGE ...
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 ...
Announcement of Google Duplex, a service to allow an AI assistant to book appointments over the phone. The Los Angeles Times judges the AI's voice to be a "nearly flawless" imitation of human-sounding speech. [133] 2019 DeepMind's AlphaStar reaches Grandmaster level at StarCraft II, outperforming 99.8 percent of human players. [134]
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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.