Question: Neural Information Retrieval ( 1 7 ) 1 . Consider Vocabulary = { the , quick, brown, fox, jumped } , so V = 5

Neural Information Retrieval (17)
1. Consider Vocabulary ={the, quick, brown, fox, jumped}, so V =5. What is the VxV matrix of 1-hot embeddings of each term in the vocabulary? (2)
2. Given a training set the quick brown fox jumped, what are all possible windows of size 3(k=3)?(2)
3. Given the following matrices Win and Wout in the Skip Gram architecture with a hidden layer of size 3, and the window quick brown fox.
Win =[2,2,4.
3.1.3.
2.1.3.
1.3.3
.6.1.2]
Wout =[.4.1.4.
6.8.3.
6.1.5.
3.4.1.
3.5.2]
Compute:
a. p(quick|brown)
b. p(fox|brown)
c. Total loss

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