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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 ...
A gateway to government science information and research results from over 60 databases, over 2,200 websites, and over 200 million pages. Free United States Government: Science Citation Index [67] Multidisciplinary: Part of Web of Science. 24,000+ journals across 254 subject disciplines. Subscription Clarivate Analytics: Scientific Information ...
Semantic search seeks to improve search accuracy by understanding the searcher's intent and the contextual meaning of terms as they appear in the searchable dataspace, whether on the Web or within a closed system, to generate more relevant results. Some authors regard semantic search as a set of techniques for retrieving knowledge from richly ...
Semantic Scholar uses natural language processing to get the gist of a paper, understand what processes, chemicals, or results are described, and make that information easily searchable.
Semantic Scholar, an effort to index scientific literature using natural language processing and other AI methods, has added tens of millions of papers to its trove, expanding from computer ...
Semantic Scholar is a search engine that reads the literature on its own, establishing patterns and influences, ranking citations, and making it much easier to find both the latest and what you're ...
ResearchGate's competitors include Academia.edu, Google Scholar, and Mendeley, [4] as well as new competitors that emerged in the last decade like Semantic Scholar. In 2016, Academia.edu reportedly had more registered users (about 34 million versus 11 million [ 25 ] ) and higher web traffic, but ResearchGate was substantially larger in terms of ...
Web of Science "is a unifying research tool which enables the user to acquire, analyze, and disseminate database information in a timely manner". [7] This is accomplished because of the creation of a common vocabulary, called ontology , for varied search terms and varied data.