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Skip-Gram Model description in word2vec explanation article

In his article word2vec Parameter Learning Explained Xin Rong says (page 7): Each output is computed using the same hidden->output matrix: $$ p(w_{c,j} = w_{O.c}|w_I)=y_{c,j}=\frac{exp(u_{c,j})}{\...
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Can 3D convolutions appropriately capture a frozen embedding space?

My project is a strange combination of NLP and Computer Vision. I have datapoints of 3D tensor where each element is a token in an NLP vocabulary. The vocabulary is around 1000 unique "words"...
schmixi's user avatar