Semantic Scholar
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Semantic Scholar is a free AI-powered research tool designed to make scientific literature more accessible and contextual. Developed by the Allen Institute for Artificial Intelligence (AI2), it leverages natural language processing algorithms to extract key information from scientific papers, including authors, journals, abstracts, figures, and citations. By structuring papers in this manner, Semantic Scholar provides powerful search, discovery, and recommendation capabilities, making it an invaluable resource for researchers, students, publishers, librarians, and developers.
Highlights:
- AI-powered research tool for scientific literature
- Free to use with advanced search features
- Extensive corpus of over 175 million papers
- Personal library and annotation capabilities
- API access for developers
Key Features:
- Advanced search by keyword, author, conference, etc.
- Concise paper summaries and related paper recommendations
- Author profiles with publication history and metrics
- Personal library for saving and annotating papers
- APIs for search and academic graphs
Benefits:
- Enhanced accessibility and context for scientific research
- Efficient discovery of influential papers and research trends
- Comprehensive author profiles and paper metrics
- Customizable personal library for focused research
- API access for building research applications
Use Cases:
- Researchers seeking new papers and trends
- Students looking for influential papers
- Publishers needing analytics on publications
- Librarians enhancing institutional repositories
- Developers building research apps
Paid