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2. Semantic Scholar - Wikipedia

   en.wikipedia.org/wiki/Semantic_Scholar

   Semantic Scholar. Semantic Scholar is a research tool for scientific literature powered by artificial intelligence. 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 ...

3. Semantics (computer science) - Wikipedia

   en.wikipedia.org/wiki/Semantics_(computer_science)

   Applications. v. t. e. In programming language theory, semantics is the rigorous mathematical study of the meaning of programming languages. [ 1] Semantics assigns computational meaning to valid strings in a programming language syntax. It is closely related to, and often crosses over with, the semantics of mathematical proofs .

4. List of academic databases and search engines - Wikipedia

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

   Replaced CiteSeer, and ChemXSeer. Mainly Computer science, Statistics, Mathematics. Free Semi-free [7] Pennsylvania State University: Paperity [8] Multidisciplinary: 10,500,000 Full-text aggregator of open access journals and papers (>17,000 journals) from all academic disciplines. Free No [9] Paperity Sp. z o.o. Semantic Scholar: Multidisciplinary

5. AOL Mail

   mail.aol.com

   You can find instant answers on our AOL Mail help page. Should you need additional assistance we have experts available around the clock at 800-730-2563.

6. Snagit - Wikipedia

   en.wikipedia.org/wiki/Snagit

   www .techsmith .com /screen-capture .html. Snagit (formerly SnagIt [3]) is screen capture and screen recording software for Windows and macOS. It is created and developed by TechSmith and was first launched in 1990. Snagit is available in English, French, German, Japanese, Portuguese and Spanish versions. Snagit replaces the native print screen ...

7. Semantic search - Wikipedia

   en.wikipedia.org/wiki/Semantic_search

   Semantic search seeks to improve search accuracy by understanding the searcher's intent and the contextual meaning of terms as they appear in the searchable dataspace, whether on the Web or within a closed system, to generate more relevant results. Some authors regard semantic search as a set of techniques for retrieving knowledge from richly ...

8. Steve Martin reveals what he said when asked to play ... - AOL

   www.aol.com/steve-martin-reveals-said-asked...

   Steve Martin and Minnesota’s Gov. Tim Walz. (Disney/Randy Holmes/Getty - Stephen Maturen/Getty Images / Disney/Randy Holmes/Getty - Stephen Maturen/Getty Images)

9. Word2vec - Wikipedia

   en.wikipedia.org/wiki/Word2vec

   e. Word2vec is a technique in natural language processing (NLP) for obtaining vector representations of words. These vectors capture information about the meaning of the word based on the surrounding words. The word2vec algorithm estimates these representations by modeling text in a large corpus. Once trained, such a model can detect synonymous ...