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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.
Google Translate previously first translated the source language into English and then translated the English into the target language rather than translating directly from one language to another. A July 2019 study in Annals of Internal Medicine found that "Google Translate is a viable, accurate tool for translating non–English-language ...
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.
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Semantic AI, Inc. Semantic AI (formerly Semantic Research, Inc.) is a privately held software company headquartered in San Diego, California with offices in the National Capitol Region. Semantic AI is a Delaware C-corporation that offers patented, graph-based knowledge discovery, analysis and visualization software technology.
Semantic Scholar: Semantic Scholar tool is an artificial-intelligence backed search engine for academic publications publicly released in November 2015. It uses advances in natural language processing to provide features such as summaries for scholarly papers, contextual information about inline citations, and the ability to create libraries of ...
Microsoft Academic. Microsoft Academic was a free internet-based academic search engine for academic publications and literature, developed by Microsoft Research in 2016 as a successor of Microsoft Academic Search. Microsoft Academic was shut down in 2022. Both OpenAlex [1] [2] and The Lens claim to be successors to Microsoft Academic.
Lê Viết Quốc (born 1982), [1] or in romanized form Quoc Viet Le, is a Vietnamese-American computer scientist and a machine learning pioneer at Google Brain, which he established with others from Google. He co-invented the doc2vec [2] and seq2seq [3] models in natural language processing. Le also initiated and lead the AutoML initiative at ...
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