Question: Neural Information Retrieval ( 1 7 ) 1 . Consider Vocabulary = { the , quick, brown, fox, jumped } , so V = 5
Neural Information Retrieval
Consider Vocabulary the quick, brown, fox, jumped so V What is the VxV matrix of hot embeddings of each term in the vocabulary?
Given a training set the quick brown fox jumped what are all possible windows of size k
Given the following matrices Win and Wout in the Skip Gram architecture with a hidden layer of size and the window quick brown fox
Win
Wout
Compute:
a pquickbrown
b pfoxbrown
c Total loss
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