About Semantic Scholar

Helping scholars discover new insights

We are a team of researchers and engineers at the Allen Institute for AI building a better way to search and discover scientific knowledge.

Illustration: Papers being accelerated by Semantic Scholar
Illustration: A Scholar

Scholars Building For Scholars

Staying up-to-date with scientific literature is an increasingly pressing challenge for scholars.

Our mission is to accelerate scientific breakthroughs using AI. Our Research team studies information overload and develops AI tools to overcome it. And our Product and Engineering teams deliver these unique AI-driven features at scale to millions of scholars each month.

Semantic Scholar is and always will be open and free for all to use. In addition to the search and discovery tools available at semanticscholar.org, we provide the Semantic Scholar API and Open Research Corpus as free services to the research community.

AI For The Common Good

At AI2, our mission is to contribute to humanity through high-impact AI research and engineering.

Semantic Scholar was launched in 2015 as a groundbreaking project at the Allen Institute for AI, a non-profit research institute founded in 2014 with the mission of conducting high-impact AI research and engineering in service of the common good. AI2 is the creation of Paul Allen, Microsoft co-founder, and is led by Dr. Oren Etzioni, a leading AI researcher.

Are you interested in our mission? Join the team!

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Experience a smarter way to search and discover scholarly research.

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Latest News & Updates

Featured AI2er: Bailey Kuehl

Featured AI2er: Bailey Kuehl

Bailey Kuehl is a Data Science Analyst on the Semantic Scholar team at AI2.

Stay Up to Date with the Latest Research in Your Field

Stay Up to Date with the Latest Research in Your Field

Our new Research Dashboard uses state-of-the-art AI to recommend the right papers

A New and Improved Semantic Scholar API

A New and Improved Semantic Scholar API

Developers can now use the Semantic Scholar API to programmatically search our corpus of nearly 200 million papers.