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Hey!
I was working on an extreme multi-label classification task of which one of the modules is to create a function that would take a single document vector and label vector (both of 300 dimensions but created separately and so from different vector spaces) and would produce a new latent vector which would be binarily classifiable. My current naive approach is to simply concatenate the two vectors.
Could you please suggest some techniques, features or a general direction or topic to study. Any idea would be greatly appreciated as I have been at a total loss on how to proceed further.
Thank you!
submitted by /u/atif_hassan
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