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

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 provides free, AI-driven search and discovery tools, and open resources for the global research community. We index over 200 million academic papers sourced from …

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 …

Semantic mapping is a potential way to help robots to coexist with human beings, as it bridges the semantic gap by attaching semantic information to geometric maps. Nowadays, semantic …

SIFT Flow is a dataset of 2,688 images with pixel labels for 33 semantic categories (“bridge”, “mountain”, “sun”), as well as three geometric categories (“horizontal”, “vertical”,and “sky”).

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 …

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 …

The field of semantics has yet to reach a consensus on the nature and validity of semantic domains and semantic primitives. 'Semantic domain' is just another way of saying 'area of …

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 …