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November 2, 2015; 8 years ago. ( 2015-11-02) [ 1] 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 ...
The following table lists many common symbols, together with their name, how they should be read out loud, and the related field of mathematics. Additionally, the subsequent columns contains an informal explanation, a short example, the Unicode location, the name for use in HTML documents, [1] and the LaTeX symbol.
The Shannon–Weaver model is one of the first and most influential models of communication. It was initially published in the 1948 paper "A Mathematical Theory of Communication" and explains communication in terms of five basic components: a source, a transmitter, a channel, a receiver, and a destination. The source produces the original message.
Verbal fluency test. A verbal fluency test is a kind of psychological test in which a participant is asked to produce as many words as possible from a category in a given time (usually 60 seconds). This category can be semantic, including objects such as animals or fruits, or phonemic, including words beginning with a specified letter, such as ...
While the drink phenomenon has exploded across TikTok—with thousands of other creators trying it for themselves—Emma Grace (also known as @not.eg) and her Memama were among the first to make ...
The triangle of reference (also known as the triangle of meaning[ 1] and the semiotic triangle) is a model of how linguistic symbols relate to the objects they represent. The triangle was published in The Meaning of Meaning (1923) by Charles Kay Ogden and I. A. Richards. [ 2] While often referred to as the "Ogden/Richards triangle", the idea ...
The unemployment rate rose to a three-year high of 4.1% in June, with 6.8 million people unemployed. At that time a year ago, the unemployment rate was at 3.6% and 6 million people were unemployed.
e. Word2vec is a technique in natural language processing (NLP) for obtaining vector representations of words. These vectors capture information about the meaning of the word based on the surrounding words. The word2vec algorithm estimates these representations by modeling text in a large corpus. Once trained, such a model can detect synonymous ...