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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 ...
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 search. Semantic search denotes search with meaning, as distinguished from lexical search where the search engine looks for literal matches of the query words or variants of them, without understanding the overall meaning of the query. [1] Semantic search seeks to improve search accuracy by understanding the searcher's intent and the ...
Semantic analytics, also termed semantic relatedness, is the use of ontologies to analyze content in web resources. This field of research combines text analytics and Semantic Web technologies like RDF. Semantic analytics measures the relatedness of different ontological concepts. Some academic research groups that have active project in this ...
Google Scholar is a freely accessible web search engine that indexes the full text or metadata of scholarly literature across an array of publishing formats and disciplines. . Released in beta in November 2004, the Google Scholar index includes peer-reviewed online academic journals and books, conference papers, theses and dissertations, preprints, abstracts, technical reports, and other ...
COVID-19 Open Research Dataset (CORD-19): The Semantic Scholar project of the Allen Institute for AI hosts CORD-19, a public dataset of academic articles about COVID-19 and related research. The dataset is updated daily and includes both peer-reviewed articles and preprints.
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 ...
"Semantic Scholar is free to use and unlike similar search engines (i.e. Google Scholar) does not search for material that is behind a paywall.[citation needed]" Which implies that it only provides results which are not behind a paywall, while actually meaning: "it doesn't search in between and across the material behind a paywall"