Semantic Scholar
Overview
Semantic Scholar is a free, AI-powered research tool designed to help scholars discover and navigate scientific literature. By leveraging advanced AI and engineering, the platform analyzes the semantics of over 235 million papers across all fields of science to provide relevant search results and insights.
The tool is intended for researchers, academics, and developers who need to efficiently explore vast amounts of scholarly data. Typical use cases include searching for specific scientific papers, accessing augmented reading experiences through the Semantic Reader, and utilizing the platform’s API to build custom scholarly applications.
How to use it?
- Navigate to the Semantic Scholar search bar on the homepage.
- Enter a research topic, author name, or specific paper title to generate results.
- Browse the list of papers and select an article to view details or use the Semantic Reader for an augmented reading experience.
- Developers can access the API documentation to integrate search functionality into their own applications.
Features
Semantic Scholar is an AI tool that functions as a search engine for scientific literature. It allows users to look for particular papers, authors, or topics with ease. The tool provides access to an extensive range of scientific papers across various scientific fields. It is designed to have a deep understanding of research publications. Developers can utilize the API offered to create scholarly applications. Additionally, there is a Semantic Reader (beta version) which enhances the experience of reading scientific content.
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