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Another approach is to automatically learn a set of rules from a set of documents where the sentence breaks are pre-marked. Solutions have been based on a maximum entropy model . [ 3 ] The SATZ [ 4 ] architecture uses a neural network to disambiguate sentence boundaries and achieves 98.5% accuracy.
The fall crushed several vertebrae and left Lord a quadriplegic, and a lawsuit was filed against the organisers of that year's Game, who were criticized for not mentioning the danger in the pre-game liability waiver. [6] There was no Seattle-based Game for three years after the 2002 Game, although the Bay Area Game continued apace.
In linguistic morphology and information retrieval, stemming is the process of reducing inflected (or sometimes derived) words to their word stem, base or root form—generally a written word form. The stem need not be identical to the morphological root of the word; it is usually sufficient that related words map to the same stem, even if this ...
The term is roughly synonymous with text mining; indeed, Ronen Feldman modified a 2000 description of "text mining" [6] in 2004 to describe "text analytics". [7] The latter term is now used more frequently in business settings while "text mining" is used in some of the earliest application areas, dating to the 1980s, [ 8 ] notably life-sciences ...
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Under fire after a string of high-profile disasters, mining firms are shaking up their boardrooms in response to criticism that they are failing to meet their own environmental, social, and ...
The concept of association rules was popularized particularly due to the 1993 article of Agrawal et al., [2] which has acquired more than 23,790 citations according to Google Scholar, as of April 2021, and is thus one of the most cited papers in the Data Mining field.
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