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A free, AI-powered research tool for scientific literature. Search 221,181,577 papers from all fields of science. Try: Martin E. P. Seligman. Inheritance Tax. Sigma Bonds. New & Improved API for Developers. Our API now includes paper search, better documentation, and increased stability.
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A free, AI-powered research tool for scientific literature....
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Research publications focused on AI, HCI, ML, NLP,...
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Semantic Scholar provides free, AI-driven search and...
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Semantic Scholar is a free, AI-powered search and discovery...
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SUPP.AI. AI-curated corpus of supplement and drug...
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Artificial-intelligence search engines wrangle academic...
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Get notified when there are new citations for a specific paper. To create a paper alert, select “Create Alert” on any paper page.
Get notified when there are new citations and papers for a specific author. To create an author alert, select “Follow Author” on any author page. Or, claim your author pageto get notified about new papers citing your works.
Get new paper recommendations in your email when you turn on Research Feeds alerts for any of your library folders.
Google Scholar provides a simple way to broadly search for scholarly literature. Search across a wide variety of disciplines and sources: articles, theses, books, abstracts and court opinions.
Based at the Allen Institute for AI, Semantic Scholar is a free, AI-powered research tool for scientific literature, which provides access to over 180 million research publications in all scientific domains.
Semantic Scholar is free to use and unlike similar search engines (i.e. Google Scholar) does not search for material that is behind a paywall. [5] [citation needed]
Oct 6, 2023 · Semantic Scholar provides free, AI-driven search and discovery tools, and open resources for the global research community. We index over 200 million academic papers sourced from publisher partnerships , data providers, and web crawls.
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Sep 1, 2021 · Semantic Scholar’s alert system, called an adaptive research feed, builds a list of recommended papers that users can train by liking or disliking the articles they see.