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1. Recall from the paper presented by Tam 3 week ago.
a. What is the difference between distributional semantic and distributed semantic representation?
b. What is maximum size of word vector in distributional representation approach?
2.
a. Compute the similarity between two words: “Moon” and “Sun” from the co-occurrence matrix below:
| planet | night | full | shadow | shine Moon | 34 | 27 | 19 | 9 | 20 Sun | 32 | 23 | 10 | 47 | 15 Dog | 0 | 19 | 2 | 11 | 1 Mars | 44 | 23 | 17 | 3 | 9
b.
3. What are Bag of Word (BOVW) and Bag of Visual Word (BOW)? Are they synonyms?
4. How do they apply BOVW to compute representation of a word (concept) from a large set of Images?
5. Have you ever wish to see a beautiful Mermaids.
Have you ever seen “Unicorns” in the real lie.
Can you think a computational way to show that how they look like?