
Semantic Scholar is a free, AI-powered tool designed to help researchers navigate scientific literature. It works as a searchable database of scientific papers from all fields of study, making it easier to find relevant information quickly and efficiently. With over 212 million papers from various fields of science, it is a rich source of knowledge; so, whether you’re a researcher, a student, or just someone interested in learning more about a particular scientific topic – you’ll find Semantic Scholar helpful.
The technology behind the tool utilizes AI to help sort, filter, and present relevant information in a way that’s more digestible and accessible. The AI also aids in processing the vast amount of data in the scientific literature to deliver the most relevant results.
One of the cool features of Semantic Scholar is the Semantic Reader, which is an augmented reading tool that aims to augment the way people read and interact with scientific papers. It makes scientific reading more accessible and richly contextual — offering an enhanced reading experience that can be particularly beneficial for complex or dense scientific literature.
Also provided is the API that allows developers to integrate Semantic Scholar’s paper search capabilities into their applications.
Semantic Scholar is based at the Allen Institute for AI, indicating its roots in a leading AI research organization.
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