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Results tagged with word-embeddings
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user 415756
Word embedding is the collective name for a set of language modeling and feature learning techniques in NLP where words are mapped to vectors of real numbers in a low dimensional space, relative to the vocabulary size.
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Why learn an embedding before self attention when training transformers?
I understand that self-attention layers learn the "role" of a word in a sentence while embedding layers learn the relationship between the words. But I am not totally convinced that a self-attention l …
