Sentence examples for machine scoring of from inspiring English sources

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This article considers the claim that machine scoring of writing test responses agrees with human readers as much as humans agree with other humans.

These claims about the reliability of machine scoring of writing are usually based on specific and constrained writing tasks, and there is reason for asking whether machine scoring of writing requires specific and constrained tasks to produce results that mimic human judgements.

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At major airports around the country, stopgap security moves crowd lobbies with giant scanning machines, scores of smaller "trace detectors" and teams of sniffer dogs, all improvised to provide bomb screening of checked baggage by a Dec. 31 deadline.

In a cavernous exhibition hall showcasing the industry's finest killing machines, scores of white men (few other demographics were present) aimed empty barrels into the middle distance and pondered their purchases.

If the thought of an algorithm replacing a human causes queasiness, consider this: In states' standardized tests, each essay is typically scored by two human graders; machine scoring replaces only one of the two.

In the experimental design, first, we test the correlation of recognition results and machine scores with the different errors and human scores.

At J.F.K., I was made to stand in a small, cramped, open space between scanning machines, while scores of other passengers walking by stared as I was subjected to having my breasts cupped, poked and pushed in all directions, my bottom rubbed and little else left to the imagination -- and this was not done with the "back of the hand," but with open hands and all fingers.

In the past month alone, Islamic State fighters have broadcast images of themselves beheading U.S. journalists James Foley and Steven Sotloff as well as captive Kurdish and Lebanese soldiers, and machine-gunning scores of Syrian prisoners wearing nothing but their underwear.

He knew Mr. Martins, who had made a powerful duo, "The Infernal Machine," to his score of the same title, in 2002, and they began to talk about the possibility just as Juilliard raised the idea of a commission for its centenary celebration.

Running Geekbench 2 on the machine returned a score of 1611 (full report here) which puts it in line with a PowerMac G5.

Machine learning scoring functions consist of four main building blocks: descriptors, model, training set and test set.

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