Semantic Scholar is a project developed at the Allen Institute for Artificial Intelligence. It is designed to be an AI-backed search engine for scientific journal articles.
It is research and Product Development team within the Allen Institute for AI building a better way to search and discover scientific knowledge.
The project uses a combination of machine learning, natural language processing, and machine vision to add a layer of semantic analysis to the traditional methods of citation analysis, and to extract relevant figures, entities, and venues from papers.
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