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i-NLP · POS tagging, parsing & TF-IDF

5 questions · 20 marks · 1 paper

Answer key

Indian Institute of Technology Madras

BS Degree Programme · Examination & Study Paper

Introduction to Natural Language Processing

POS tagging, parsing & TF-IDF

Official Paper

Examination Instructions & Guidelines

Solve on notebook/paper first before checking solutions.
MCQ: Exactly 1 option is correct. Negative marking applies.
MSQ: One or more options correct. Select all to score.
NAT: Numerical response. No negative marking.
Scientific calculator allowed for all calculations.
Official answer key is sealed at the end of this sheet.

Q1MCQ3 Marks·Choose one option
Key ↓
Why might accuracy be a misleading metric for evaluating POS tagging systems in cases of class imbalance?
1. ABecause accuracy does not account for the number of true negatives.
2. BBecause accuracy gives equal weight to all classes, even if some tags are much rarer than others.
3. CBecause accuracy only measures the precision of the system, ignoring recall.
4. DBecause accuracy is not affected by the number of false positives and false negatives.
Q2MCQ3 Marks·Choose one option
Key ↓
In stochastic POS tagging, why is it necessary to calculate both individual word probabilities and tag sequence probabilities?
1. AIndividual word probabilities are sufficient for accurate tagging, and tag sequence probabilities are redundant.
2. BIndividual word probabilities are only used for rare words, while tag sequence probabilities are used for common words.
3. CTag sequence probabilities help in determining the most likely sequence of tags, while individual word probabilities provide local context.
4. DBoth probabilities are used to reduce the computational complexity of the tagging process.
Q3MSQ6 Marks·Choose all correct options
Key ↓
Which of the following sentences contain pragmatic ambiguity due to potential sarcasm or irony?
1. A"Wow, another Monday! Just what I needed."
2. B"The meeting was only three hours long. So productive!"
3. C"I love spending hours in traffic. It’s my favorite part of the day."
4. D"The weather is perfect for a picnic today."
5. E"She always arrives on time, unlike some people."
Q4NAT4 Marks·Write the number
Key ↓
In a transition-based parser using SHIFT, LEFTARC, and RIGHTARC operations, what is the minimum number of operations needed to parse the sentence "I love coding" (excluding the ROOT node)?
Your answer:
Q5NAT4 Marks·Write the number
Key ↓
A TF-IDF model is applied to a document corpus of 50,000 documents. The term "optimization" appears in 750 documents. In a specific document, "optimization" appears 8 times, and the total number of words in that document is 1200. Using log base 10 ( log_(10)), compute the TF-IDF score for "optimization" in this document. Enter your answer correct to three decimal places.
Your answer:

Official Key

Master Answer Key & Explanations

Official answer keys from IIT Madras BS past papers. Click any question to review.

Reveal Key

Q1B

Q2C

Q3A, B, C

Q44

Q50.01 to 0.02

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