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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 summaries of scholarly papers. [3] The Semantic ...
This article contains a representative list of notable databases and search engines useful in an academic setting for finding and accessing articles in academic journals, institutional repositories, archives, or other collections of scientific and other articles. Databases and search engines differ substantially in terms of coverage and retrieval qualities. [1] Users need to account for ...
Semantics. A central topic in semantics concerns the relation between language, world, and mental concepts. 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 ...
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 ...
General semantics is a school of thought that incorporates philosophic and scientific aspects. Although it does not stand on its own as a separate school of philosophy, a separate science, or an academic discipline, it describes itself as a scientifically empirical approach to cognition and problem solving.
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.
Author-level metrics are citation metrics that measure the bibliometric impact of individual authors, researchers, academics, and scholars. Many metrics have been developed that take into account varying numbers of factors (from only considering the total number of citations, to looking at their distribution across papers or journals using statistical or graph-theoretic principles).
A prolific researcher, Mihalcea has authored or coauthored over 350 articles since 1998 on topics ranging from semantic analysis of text to lie detection. [4] Her work has been cited over 40,000 times on Google Scholar, which made her one of the most cited scholars in Multimodal Interation and Computational Social Science. [5]