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[D] Metric of the target space of word embedding

It is well known that, when we train a word embedding using one of various models, we can perform a vector arithmetic that reflects semantics. Is this just an empirical result, or does a model and/or a training loss guarantees such an embedding?

submitted by /u/chan_y_park
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Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.