NPTEL Natural Language Processing Week 11 Assignment Answers 2025
1. Your teacher recommended you to read the book “Introduction to Deep Learning’. After
reading the book, you want to summarize it. What kind of summarization method would you
use for this purpose?
1. Abstractive single document summarization
2. Abstractive multi document summarization
3. Extractive single document summarization
4. Extractive multi document summarization
a. 1, 2
b. 3,4
c. 1, 3
d. 2, 4
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2. What is the macro averaged precision?
a. 0.6696
b. 0.6078
c. 0.6433
d. None of the above
Answer :-
3. What is the macro averaged recall?
a. 0.6464
b. 0.6540
c. 0.6190
d. None of the above
Answer :-
4. What is the accuracy of your classifier?
a. 0.6421
b. 0.6536
c. 0.6319
d. None of the above
Answer :-
5. What is the micro averaged precision?
a. 0.6915
b. 0.6421
c. 0.6245
d. None of the above
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6. It is estimated that 30% of articles generated by an Al system are unreliable. Another Al model
is used to filter these unreliable articles. The Al model claims that it can correctly detect 95%
of unreliable articles, with a false positive rate (classifying a reliable article as unreliable) of 5%. If an article is flagged as unreliable by the Al model, what is the probability that it is actually a reliable article?
a. 0.019
b. 0.119
c. 0.109
d. None of the above
Answer :-
7. Consider the system-generated summary (S) and the reference summary (R) as follows:
S: The Al model processes language by leveraging neural networks and large datasets for
training.
R: The Al model uses neural networks and extensive datasets to understand language patterns.
What is the ROUGE-1 recall for the given summary with respect to the reference?
a. 0.625
b. 0.600
c. 0.571
d. None of the above
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