
AI-powered research tool by Allen Institute for AI that uses semantic analysis to help scholars discover and understand relevant scientific literature efficiently.
Literature Review
A researcher quickly finds foundational and recent papers on a specific topic.
Paper Discovery
A student discovers relevant scientific literature outside their immediate reading list.
Development Integration
A developer builds a scholarly application using the provided API.
Enhanced Reading
A scholar uses the augmented reader to gain deeper context from select papers.
Semantic Search
Users can search through a corpus of 233,808,515 scientific papers from all fields.
Author & Concept Search
The search functionality allows direct queries for authors like "Barbara L. Fredrickson" or concepts like "Inheritance Tax."
Semantic Reader (Beta)
Users can try an augmented reading interface designed to make scientific papers more accessible and context-rich.
Developer API
Developers can access an API for paper search to build third-party scholarly applications.
API Enhancements
The API offers improved documentation and increased stability for developers.
Free Access
The core research tool is provided at no cost to the user.
AI-powered research tool by Allen Institute for AI that uses semantic analysis to help scholars discover and understand relevant scientific literature efficiently.
Kategorie: AI Search
Link: https://semanticscholar.org/
Tags: academic research, literature discovery, semantic analysis, AI-powered search, scientific papers