Semantic Scholar uses groundbreaking AI and engineering to understand the semantics of scientific literature to help Scholars discover relevant research.
Semantic Scholar is a free, AI-powered research tool designed for navigating scientific literature. Developed at the Allen Institute for AI, it provides access to a vast repository of papers across various fields of science, allowing researchers, students, and academics to discover relevant studies and augment their own research.
Using Semantic Scholar is straightforward:
Semantic Scholar is completely free to use for anyone wanting to explore scientific literature. There are currently no subscription fees or hidden costs associated with accessing the database.
While Semantic Scholar provides access to a large number of papers, some specific articles may be behind paywalls due to publisher restrictions. However, many papers are free to access.
Semantic Scholar uses AI algorithms to suggest papers based on your search history and preferences, allowing for a more tailored research experience.
While Semantic Scholar primarily aggregates existing literature, researchers and developers can contribute by utilizing the API for applications, and collaborations with the Allen Institute for AI.
Yes, your privacy is a priority at Semantic Scholar. The platform adheres to strict privacy policies ensuring that your data is secure and not shared with third parties.
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