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2. TL;DR: This AI summarizes research papers so you don ... - AOL

   www.aol.com/tl-dr-ai-summarizes-research...

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3. Automatic summarization - Wikipedia

   en.wikipedia.org/wiki/Automatic_summarization

   The Reddit bot "autotldr", [31] created in 2011 summarizes news articles in the comment-section of reddit posts. It was found to be very useful by the reddit community which upvoted its summaries hundreds of thousands of times. [32] The name is reference to TL;DR − Internet slang for "too long; didn't read". [33] [34]

4. Semantic Scholar - Wikipedia

   en.wikipedia.org/wiki/Semantic_Scholar

   Semantic Scholar is a research tool for scientific literature. It is developed at the Allen Institute for AI and was publicly released in November 2015. [2] Semantic Scholar uses modern techniques in natural language processing to support the research process, for example by providing automatically generated summaries of scholarly papers. [3]

5. APA style - Wikipedia

   en.wikipedia.org/wiki/APA_style

   APA style (also known as APA format) is a writing style and format for academic documents such as scholarly journal articles and books. It is commonly used for citing sources within the field of behavioral and social sciences , including sociology, education, nursing, criminal justice, anthropology, and psychology.

6. Comparison of reference management software - Wikipedia

   en.wikipedia.org/wiki/Comparison_of_reference...

   Some reference management software include support for automatic embedding and (re)formatting of references in Word processor programs. This table lists this type of support for Microsoft Word , Pages , Apache OpenOffice / LibreOffice Writer , the LaTeX editors Kile and LyX , and Google Docs .

7. 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.