Semantic Scholar is a project developed at the Allen Institute for Artificial Intelligence, released in November 2015. It is designed to be a "smart" search service for journal articles. The project uses a combination of machine learning, natural language processing, machine vision to add a layer of semantic analysis to the traditional methods of citation analysis. In comparison to Google Scholar and PubMed, it is designed to quickly highlight the most important papers and identify the connections between them.
As of January 2018, following a 2017 project that added biomedical papers and topic summaries, the corpus now includes more than 40 million papers from computer science and biomedicine. In March 2018, Doug Raymond, who developed machine learning initiatives for the Amazon Alexa platform was hired to lead the Semantic Scholar project.
Video Semantic Scholar
See also
- Citation analysis
- Citation index
- Knowledge extraction
- List of academic databases and search engines
- Scientometrics
Maps Semantic Scholar
References
External links
- Official website
Source of the article : Wikipedia
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