Calculate the tf-idf for the documents in Figure A. - Word Embeddings Review Assignment - Use this assignment in your class!

Word Embeddings Review Assignment

1.What's the distributional hypothesis?

2.What shortcoming of bag-of-words do word embeddings solve?

3.What are some elements an ideal word representation should recognize?

4.Create word vectors for 'tall', 'pine', and 'chopped' based on co-occurrences with 'tree' and 'person'.

5.Create a term-term matrix for the sentences in Figure A.

6.Provide k-windows of size k=1, k=2, k=3 and k=4 for 'Shakespeare' in the following sentence: "the greatest Shakespeare play is Macbeth"

7.What's the dot product of [3, 9, 1] • [0, 3, -4]?

8.What's the cosine similarity between [-3, 3, 4] and [2, -5, -1]?

9.Explain the intuition behind tf-idf.

10.Calculate the tf-idf for the documents in Figure A.

11.What are some use cases of word vectors?

12.What's the difference between PMI and PPMI, and why is PPMI preferred for NLP problems?

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Alec KretchJAN. 5, 2021 AT 10:56 AM

Jurafsky, D., Martin, J.H.: Speech and Language Processing (3rd ed.). Retrieved from https://web.stanford.edu/~jurafsky/slp3/6.pdf (May 3, 2021)

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