What is Semantic Scholar?
Semantic Scholar is a free research tool powered by AI, developed at the Allen Institute for AI. It enables users to search through an extensive database of scientific literature across numerous fields.
How can I search for papers on Semantic Scholar?
Users can search for papers by entering keywords, authors' names, or specific titles in the search bar. An advanced filtering option is also available to narrow results based on publication year, venue, and other parameters.
What features does the Semantic Reader offer?
The Semantic Reader is a beta feature designed to enhance the reading of academic papers. It provides contextual insights and makes accessing information easier by augmenting the reading experience. This feature includes highlights and recommendations that may help users understand key concepts within the papers.
Is there an API available for developers?
Yes, Semantic Scholar offers an API that allows developers to access paper search functionalities, improved documentation, and increased stability. This facilitates the creation of scholarly applications, and details about the API can be found in the API documentation section on the Semantic Scholar website.
How does Semantic Scholar aim to reduce the carbon footprint of AI research?
According to Schwartz et al. (2020), enhancing efficiency in AI research can minimize its carbon emissions while simultaneously making the field more inclusive. This approach aims to ensure that resources are better allocated to researchers with limited financial means, promoting broader participation in AI research.