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

Semantic Scholar provides free, AI-driven research tools and open resources for all researchers. Search and cite any papers, manage your reading lists in your personal library, and get AI-powered paper …

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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 detailed …

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 easily …

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 …

Aug 13, 2025 · This survey provides a comprehensive overview of recent progress in 3DGS applications, and introduces 2D foundation models that support semantic understanding and control …

Semantic Scholar is an academic search engine and we are unable to provide the proper permissions on behalf of the authors and publishers whose content is discoverable on our site.

Jan 4, 2024 · This work proposes an orthogonal frequency division multiplexing (OFDM)-based SemCom system that is compatible with existing digital communication infrastructures, and proposes …

Semantic Scholar extracted view of "The social psychology of telecommunications" by John Short et al.