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  2. 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.

  3. Automatic summarization - Wikipedia

    en.wikipedia.org/wiki/Automatic_summarization

    A related application is summarizing news articles. Imagine a system, which automatically pulls together news articles on a given topic (from the web), and concisely represents the latest news as a summary. Image collection summarization is another application example of automatic summarization.

  4. Wikipedia:Database download - Wikipedia

    en.wikipedia.org/wiki/Wikipedia:Database_download

    (and the corresponding index file, pages-articles-multistream-index.txt.bz2) pages-articles.xml.bz2 and pages-articles-multistream.xml.bz2 both contain the same xml contents. So if you unpack either, you get the same data. But with multistream, it is possible to get an article from the archive without unpacking the whole thing.

  5. 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 [89] Jurn: Multidisciplinary Jurn is a free-to-use online search tool for finding and downloading free full-text scholarly works.

  6. Text summarization - Wikipedia

    en.wikipedia.org/?title=Text_summarization&...

    Get shortened URL; Download QR code; Print/export Download as PDF; Printable version; In other projects Appearance. move to sidebar hide. From Wikipedia, the free ...

  7. Template:Summarize section - Wikipedia

    en.wikipedia.org/wiki/Template:Summarize_section

    {{Summarize section}} – For sections that are too detailed and need to be summarized. {{ Example farm }} – For excessive use of examples. {{ Too many see alsos }} – For an indiscriminate "See also" section, most of which should be pruned or integrated into the prose.

  8. 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]

  9. Help:Automatic edit summaries - Wikipedia

    en.wikipedia.org/wiki/Help:Automatic_edit_summaries

    Auto edit summaries exist for several actions, if the user fails to provide an edit summary: Blanking a page; Replacing entire page with other text, removing more than 90% of the content of a page; Creating a new page (the first 200 characters of the article appear in the summary) Adding, changing, or removing a redirect; Reverting a revision

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