Semantic Scholar
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Semantic Scholar is a research tool powered by artificial intelligence for scientific literature, It was developed at the Allen Institute for AI and publicly released in November 2015.[2] It uses advances in natural language processing to provide summaries for scholarly papers.[3] The Semantic Scholar team is actively researching the use of artificial intelligence in natural language processing, machine learning, human–computer interaction, and information retrieval.[4]
 | |
Type of site | Search engine |
|---|---|
| Created by | Allen Institute for Artificial Intelligence |
| URL | semanticscholar |
| Launched | November 2, 2015 (2015-11-02)[1] |
Semantic Scholar began as a database for the topics of computer science, geoscience, and neuroscience.[5] In 2017 the system began including biomedical literature in its corpus.[5] As of September 2022[update], it includes over 200 million publications from all fields of science.[6]