Google PAIR company blog

Language, trees, and geometry in neural networks

Language is made of discrete structures, yet neural networks operate on continuous data: vectors in high-dimensional space. A successful language-processing network must translate this symbolic information into some kind of geometric representation—but in what form? Word embeddings provide two well-known examples…
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AI & Machine LearningSoftware Engineering2019

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Jun 7, 2019Language, trees, and geometry in neural networks by 1wheel1255

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