Semantic Scholar
Semantic Scholar
2018 · DOI: 10.5195/jmla.2018.280
Journal of the Medical Library Association · 290 Citations
TLDR
Semantic Scholar began as a search engine for computer science, geoscience, and neuroscience in 2015 and the purpose of the project is automated learning from text in order to overcome information overload.
Abstract
Eagerly awaited by researchers for years, concrete examples of artificial intelligence–enabled search engines are beginning to emerge. Founded by the nonprofit Allen Institute for Artificial Intelligence (AI2), Semantic Scholar began as a search engine for computer science, geoscience, and neuroscience in 2015. In response to researchers’ inability to keep pace with reading all of the publications in their disciplines, the purpose of the project is automated learning from text in order to overcome information overload.