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2. Supercharge Your Productivity With These 8 Powerful AI ... - AOL

   www.aol.com/supercharge-productivity-8-powerful...

   Discover 8 powerful AI-supported browser extensions that can help you write emails, digest information, and transcribe audio. Supercharge Your Productivity With These 8 Powerful AI-Supported ...

3. Grammarly - Wikipedia

   en.wikipedia.org/wiki/Grammarly

   In 2020, Grammarly made its first investment in an outside company, participating in a $10 million funding round for Docugami, a company working on AI-driven document generation. [14] In 2021, Grammarly raised another $200 million, at a total valuation of $13 billion, via its third funding round. [ 15 ]

4. Automatic summarization - Wikipedia

   en.wikipedia.org/wiki/Automatic_summarization

   An example of a summarization problem is document summarization, which attempts to automatically produce an abstract from a given document. Sometimes one might be interested in generating a summary from a single source document, while others can use multiple source documents (for example, a cluster of articles on the

5. Sumatra PDF - Wikipedia

   en.wikipedia.org/wiki/Sumatra_PDF

   Sumatra PDF is a free and open-source document viewer that supports many document formats including: Portable Document Format (PDF), Microsoft Compiled HTML Help (CHM), DjVu, EPUB, FictionBook (FB2), MOBI, PRC, Open XML Paper Specification (OpenXPS, OXPS, XPS), and Comic Book Archive file (CB7, CBR, CBT, CBZ). [3]

6. Comparison of reference management software - Wikipedia

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

   Free / Online storage free up to 3 GB / Additional storage space available No Proprietary: Now combined with wizdom.ai Pybliographer: pybliographer developers 1998-10-30 (0.2) 2018-04-03 1.4.0 Free Yes GNU GPL: Python/GTK2: Qiqqa: Qiqqa 2010-04 2020-10-04 v80 Free Yes GNU GPL: From end 2020, Open Source Reference Manager: Thomson Reuters: 1984 ...

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.