Does anyone know how to find the optimal dimensionality for embedding-type representations? Mostly I'm hand-tuning
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While a cool paper, I'm trying to figure out if I can capture high and low frequency word similarities with a single dimensionality
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My thinking was if you can define something similar to their distortion for your problem, you might see the same dynamic
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