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Semantic Scholar. 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 ...
The main academic full-text databases are open archives or link-resolution services, although others operate under different models such as mirroring or hybrid publishers. Such services typically provide access to full text and full-text search, but also metadata about items for which no full text is available.
Semantic AI is a Delaware C-corporation that offers patented, graph-based knowledge discovery, analysis and visualization software technology. Its original product is a link analysis software application called Semantica Pro, and it introduced a web-based analytical environment called the Cortex Enterprise Intelligence Platform, or Cortex EIP.
PubMed. PubMed is a free database including primarily the MEDLINE database of references and abstracts on life sciences and biomedical topics. The United States National Library of Medicine (NLM) at the National Institutes of Health maintains the database as part of the Entrez system of information retrieval.
Thursday’s Child, Eartha Kitt (1956) Whether you know Eartha Kitt as the Catwoman to Adam West’s Batman or Harriet the Spy’s reclusive neighbor, her first of three memoirs, 1956’s Thursday ...
Automatic summarization. Automatic summarization is the process of shortening a set of data computationally, to create a subset (a summary) that represents the most important or relevant information within the original content. Artificial intelligence algorithms are commonly developed and employed to achieve this, specialized for different ...
Enter: cognitive shuffling, a method that's going viral as a "hack" for dozing off quicker. It's perfect for when you have a million racing thoughts—like how you're going to get the kids to ...
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 ...
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