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

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 …

Nov 11, 2006 · ns used for sentences and smaller units are referred to as translation procedures. He distinguishes the following types of translation methods: word-for-word, literal, faithful a d …

Dec 30, 2021 · This review critically summarize the advances made in semantic information and semantic communications, including theory, architecture, and potential applications, and …

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The aim of this chapter is to present an outline of a theory of intergroup conflict and some preliminary data relating to the theory. First, however, this ap proach to intergroup behavior …

Semantic Scholar extracted view of "Health-related quality of life in patients with type 1 diabetes — association with diabetic complications ( the FinDiane Study )" by A. Ahola et al.

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 …

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 Scholar extracted view of "Work stress and social support" by J. House