Semantic Scholar uses groundbreaking AI and engineering to understand the semantics of scientific literature to help Scholars discover relevant research.
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An academic search engine that utilizes artificial intelligence methods to provide highly relevant results and novel tools to filter them with ease.
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An AI-powered augmented scientific reading application from the Semantic Scholar team at the Allen Institute for AI, UC Berkeley, and the University of ...
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The new TLDR feature in Semantic Scholar automatically generates single-sentence paper summaries using GPT-3 style techniques, helping you decide which ...
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This paper combines public and proprietary data sources using state-of-theart techniques for scholarly PDF content extraction and automatic knowledge graph ...
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Researchers at Semantic Scholar and Allen Institute for AI curate these theme-based paper collections to promote equal access to science and start ...
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An artificial agent inhabits a digital world (a cellular automaton) in which its cognitive abilities vary in three dimensions, allowing us to position it in ...
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