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

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The semantic web was proposed in 1994 by the inventor of the original world wide web, Sir Tim Berners-lee. He outlined a web of information that provided meaning and structure to information in a way …

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 Web of Science.

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 dataset?

Sign InCreate Free Account Stay Connected With Semantic Scholar Sign Up What Is Semantic Scholar? Semantic Scholar is a free, AI-powered research tool for scientific literature, based at Ai2. …

The Semantic Scholar REST API uses standard HTTP verbs, response codes, and authentication. This tutorial will teach you how to interact with the API by sending requests and analyzing the responses.

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.

Examples: https://api.semanticscholar.org/graph/v1/paper/search/match?query=Construction of the Literature Graph in Semantic Scholar Returns a single paper that is the closest title match. Each …

Jan 22, 2025 · This work introduces first-generation reasoning models, DeepSeek-R1-Zero and DeepSeek-R1, which incorporates multi-stage training and cold-start data before RL and achieves …