About Semantic Scholar
Helping Scholars Discover New Insights
Semantic Scholar provides free, AI-driven search and discovery tools, and open resources for the global research community.
We index over 200 million academic papers sourced from publisher partnerships, data providers, and web crawls.
Accelerating Scientific Breakthroughs Using AI
We are a Research and Product Development team within the Allen Institute for AI building a better way to search and discover scientific knowledge.
Developed in-house, our state-of-the-art models process and classify papers in our pipeline. Areas of AI research include Natural Language Processing, Machine Learning, Human Computer Interaction, and Information Retrieval.
AI-Driven Tools for Scholars
Staying up-to-date with scientific literature is an increasingly pressing challenge for scholars.
With Semantic Scholar, researchers can understand a paper at a glance. Our system extracts meaning and identifies connections from within papers, then surfaces these insights to help Scholars discover and understand research.
Our AI-driven features include:
Author Homepages
We use AI to showcase authors’ impact on science and highlight their most influential papers.
Recommendations and Alerts
Easily stay up-to-date with customized recommendations based on saved papers.
TLDRs
Automatically generated single-sentence paper summaries to help prioritize which papers to read in-depth.
Semantic Reader
An augmented reading application makes the reading experience more accessible and richly contextual by providing citation information directly within the context of a paper.
Resources for the Global Research Community
We provide a free, reliable source of scholarly data for developers to build projects that accelerate scientific progress.
The Semantic Scholar Academic Graph (S2AG) Dataset and APIs provide records for research papers published in all fields provided as an easy-to-use JSON archive. The Semantic Scholar Open Research Corpus (S2ORC) is a general purpose corpus for NLP and text mining research over scientific papers built and maintained by Semantic Scholar’s research team. Papers are aggregated into a unified source to create the largest publicly-available collection of machine-readable academic text, provided as a JSON archive.
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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