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Semantic Reader provides in-line citation cards that allow users to see citations with TLDR summaries as they read and skimming highlights that capture key points of a paper so users can digest faster. In contrast with Google Scholar and PubMed, Semantic Scholar is designed to highlight the most important and influential elements of a paper. [13]
Pennsylvania State University: Paperity [8] Multidisciplinary: 10,500,000 Full-text aggregator of open access journals and papers (>17,000 journals) from all academic disciplines. Free No [9] Paperity Sp. z o.o. Semantic Scholar: Multidisciplinary: 8,100,000 [10] (200,000,000 metadata [11]) Mostly computer science and biomedical publications.
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.
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 ...
Additional signs could include discussing suicide or death, losing interest in socializing with friends, an inability to concentrate, feeling irritable, overly anxious, or excessively angry, and ...
PlayStation’s Bungie, the developer behind “Destiny 2” and the originator of the “Halo” franchise, is laying off 17% of its workforce. Bungie CEO Pete Parsons announced the news in a ...
June 26, 2024 at 12:01 AM. Plant-based meat alternatives, despite being ultraprocessed, may be healthier for the heart than meat, a new report suggests. A review of previous studies found that ...
Distributional semantics [1] is a research area that develops and studies theories and methods for quantifying and categorizing semantic similarities between linguistic items based on their distributional properties in large samples of language data. The basic idea of distributional semantics can be summed up in the so-called distributional ...