Semantic scholar

Semantic Scholar, launched in 2015 by the Allen Institute for AI, is a revolutionary research tool designed to facilitate the search and discovery of scientific knowledge across all fields of science. Utilizing state-of-the-art AI technologies, Semantic Scholar indexes over 200 million academic papers, providing an invaluable resource for researchers worldwide. This platform leverages sophisticated algorithms in Natural Language Processing, Machine Learning, Human-Computer Interaction, and Information Retrieval to process and classify academic papers, offering unique insights and connections that are not readily visible through traditional search methods.

As part of its mission to accelerate scientific breakthroughs, Semantic Scholar distributes open code and datasets, and publishes results that push the boundaries of AI research. The tool is especially valuable for scholars needing to stay current with vast quantities of literature, as it simplifies the understanding of complex studies by extracting and highlighting crucial content.

Promoting equal access to science, Semantic Scholar is built on principles of transparency and collaboration. It encourages the use of AI in creative and impactful ways, reflecting its values in every aspect of operation. Researchers and developers can access the Semantic Scholar Academic Graph (S2AG) Dataset and APIs, which provide comprehensive records for research papers in an easy-to-use format, further supporting the global research community.

Semantic Scholar represents a significant step forward in the use of AI for the common good, embodying the vision of its founder, Paul Allen, to contribute to humanity through high-impact AI research and engineering.