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Semantic Scholar is a research tool for scientific literature powered by artificial intelligence. It is developed at the Allen Institute for AI and was publicly released in November 2015. [2] Semantic Scholar uses modern techniques in natural language processing to support the research process, for example by providing automatically generated ...
Semantic Scholar: Semantic Scholar tool is an artificial-intelligence backed search engine for academic publications publicly released in November 2015. It uses advances in natural language processing to provide features such as summaries for scholarly papers, contextual information about inline citations, and the ability to create libraries of ...
Semantics is the study of linguistic meaning. It examines what meaning is, how words get their meaning, and how the meaning of a complex expression depends on its parts. Part of this process involves the distinction between sense and reference. Sense is given by the ideas and concepts associated with an expression while reference is the object ...
Internet Archive Scholar: Multidisciplinary: 25,000,000 Focus on fulltext search of open access journals and conference proceedings Free Yes Internet Archive: CORE: Multidisciplinary: 9,800,000 (207,000,000 metadata) A full text aggregator of all open access papers from repositories (institutional, subject, preprints, etc.) and journals. Around ...
Semantic AI, Inc. Semantic AI (formerly Semantic Research, Inc.) is a privately held software company headquartered in San Diego, California with offices in the National Capitol Region. Semantic AI is a Delaware C-corporation that offers patented, graph-based knowledge discovery, analysis and visualization software technology.
Semantic queries work on named graphs, linked data or triples. This enables the query to process the actual relationships between information and infer the answers from the network of data. This is in contrast to semantic search, which uses semantics (meaning of language constructs) in unstructured text to produce a better search result.
Statistical semantics focuses on the meanings of common words and the relations between common words, unlike text mining, which tends to focus on whole documents, document collections, or named entities (names of people, places, and organizations). Statistical semantics is a subfield of computational semantics, which is in turn a subfield of ...
Michael J. (Mike) Karels (August 2, 1956 – June 2, 2024) was an American software engineer and one of the key figures in history of BSD UNIX.. Karels graduated from the University of Notre Dame with a degree in microbiology and from the University of California, Berkeley with a graduate degree.