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[D] When using BERT what is the best way to convert the embedding back into text?

Since the vocab file has over 30,000 entries a softmax vector would be gigantic.

But a similarity lookup would recquire embedding the vocab file myself, correct? In a way similar to the BERT embedding, which we can’t get because the entire point of BERT is an embedding depndent on the text itself.

submitted by /u/ReasonablyBadass
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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.