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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. Semantic Scholar - Wikipedia

   en.wikipedia.org/wiki/Semantic_Scholar

   Semantic Scholar provides a one-sentence summary of scientific literature. One of its aims was to address the challenge of reading numerous titles and lengthy abstracts on mobile devices. [ 7 ] It also seeks to ensure that the three million scientific papers published yearly reach readers, since it is estimated that only half of this literature ...

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. 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 ...

6. List of academic databases and search engines - Wikipedia

   en.wikipedia.org/wiki/List_of_academic_databases...

   FREE Resources: 3 articles every 2 weeks (Register and Read Program, archived journals). Also, early journals (prior to 1923 in US, 1870 elsewhere) free, no registry necessary. Free and Subscription JSTOR [88] Jurn: Multidisciplinary Jurn is a free-to-use online search tool for finding and downloading free full-text scholarly works.

7. Perplexity AI - Wikipedia

   en.wikipedia.org/wiki/Perplexity_AI

   Perplexity AI is a conversational search engine that uses large language models (LLMs) to answer queries using sources from the web and cites links within the text response. [3] Its developer, Perplexity AI, Inc., is based in San Francisco, California .