Semantic Scholar: AI-Powered Academic Research Tool

Semantic Scholar uses groundbreaking AI and engineering to understand the semantics of scientific literature to help Scholars discover relevant research.

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Semantic Scholar: AI-Powered Academic Research Tool

Introduction

What is Semantic Scholar?

Semantic Scholar is a free, AI-powered research tool for scientific literature, based at the Allen Institute for AI.

How can I use Semantic Scholar for research?

You can utilize Semantic Scholar massive database of 218,958,840 papers from all fields of science to facilitate your research. With its AI-powered search functionality, you can quickly find relevant papers and access a vast array of scientific literature.

What features does Semantic Scholar offer?

Semantic Scholar offers various features, including a free API for developers, an augmented reader called Semantic Reader, and a comprehensive database of research papers. The platform also provides a range of resources, including tutorials, FAQs, and a blog.

What is Semantic Reader?

Semantic Reader is an augmented reader with the potential to revolutionize scientific reading by making it more accessible and richly contextual. This feature is currently in beta and available for select papers.

Can I contribute to Semantic Scholar?

Yes, you can contribute to Semantic Scholar by joining its beta program, utilizing its API, or staying connected with the community through its blog and social media channels.

What is the aim of Semantic Scholar?

The aim of Semantic Scholar is to provide an efficient and accessible research tool for the scientific community, thereby decreasing the carbon footprint and increasing the inclusivity of AI research.