"To model language on a computer, start by taking every word in the dictionary and making a list of its essential features-how many is up to you."
"You can almost think of it like a 20 Questions game," says Ellie Pavlick, explaining the feature-association process for word embeddings.
"The result will embed each word's semantic associations, and its relationship to other words, into a unique string of numbers," highlighting how embeddings function.
"Researchers once specified these embeddings by hand, but now they're generated automatically," showcasing the evolution in creating word representations.
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