Semantic Scholar uses groundbreaking AI and engineering to understand the semantics of scientific literature to help Scholars discover relevant research.

Semantic Reader Project is a collaborative effort of NLP + HCI researchers from non-profit, industry, and academic institutions to create interactive, intelligent reading interfaces for …

To create a better reading experience, Semantic Reader uses artificial intelligence to understand a document’s structure and merge it with the Semantic Scholar’s academic corpus, providing …

Not only is the Semantic Scholar API very easy to use, quick, and reliable, but it also incorporates a lot of additional metadata like PDF URLs, abstract, summarization, and more, that are not …

"Semantic Scholar is an AI-powered research tool for scientific literature. With billions of citations, Semantic Scholar provides a citation graph that allows scholars to navigate and discover the …

What is the advantage of using Semantic Scholar instead of other academic search engines? Does Semantic Scholar offer programmatic access to its data through an API or downloadable …

Semantic Scholar is a relevant resource for your A-Z list, subject guides, and anywhere you mention comprehensive search engines and indexes such as Google Scholar, Scopus, or …

This work introduces PromptPrism, a linguistically-inspired taxonomy that enables prompt analysis across three hierarchical levels: functional structure, semantic component, and syntactic pattern.

Nov 13, 2024 · Traditional deep learning methods often struggle to capture the semantic information embedded in log data, which is typically organized in natural language. In this …

The new TLDR feature in Semantic Scholar automatically generates single-sentence paper summaries using GPT-3 style techniques, helping you decide which papers to read.