Semantic Scholar

Semantic Scholar is an artificial intelligence–powered research tool for scientific literature developed at the Allen Institute for AI and publicly released in November 2015.[1] It uses advances in natural language processing to provide summaries for scholarly papers.[2] The Semantic Scholar team is actively researching the use of artificial-intelligence in natural language processing, machine learning, Human-Computer interaction, and information retrieval.[3]

Semantic Scholar
Type of site
Search engine
Created byAllen Institute for Artificial Intelligence
URLsemanticscholar.org
LaunchedNovember 2015 (2015-11)

Semantic Scholar began as a database surrounding the topics of computer science, geoscience, and neuroscience.[4] However, in 2017 the system began including biomedical literature in its corpus.[4] As of September 2022, they now include over 200 million publications from all fields of science.[5]


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