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Intro to NLP Quiz 2: 16 March 2025 (January 2025 term)

Question 1

+2 marksOne correct option

Consider the given Assertion and Reason. Choose the correct option.
Assertion (A): FastText produces word embeddings of variable size, depending on the number of subword n-grams a word contains.
Reason (R): FastText computes the final embedding for a word by summing or averaging the embeddings of its subword n-grams.

  1. A

    Both Assertion (A) and Reason (R) are true, and (R) is the correct explanation of (A).

  2. B

    Both Assertion (A) and Reason (R) are true, but (R) is not the correct explanation of (A).

  3. C

    Assertion (A) is false, but Reason (R) is true.

  4. D

    Assertion (A) is false, and Reason (R) is false.

Question 2

+2 marksOne correct option

Suppose TF-IDF is applied to a corpus of medical research papers. In a document discussing COVID-19 vaccines, which of the following terms is likely to have the highest TF-IDF score?

  1. A

    "COVID-19"

  2. B

    "Spike protein"

  3. C

    "vaccine"

  4. D

    "treatment"

Question 3

+2 marksOne correct option

Which of the following statements is/are INCORRECT?

  1. A

    Recurrent neural networks can handle a sequence of arbitrary length, while feedforward neural networks can not.

  2. B

    Training recurrent neural networks is hard because of vanishing and exploding gradient problems.

  3. C

    Gradient clipping is an effective way of solving vanishing gradient problem.

  4. D

    Gated recurrent units (GRUs) have fewer parameters than LSTMs

15 more questions in this paper

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More on the Intro to NLP Quiz 2 16 Mar 2025 paper

The IIT Madras BS Introduction to Natural Language Processing (Intro to NLP) Quiz 2 paper sat on 16 Mar 2025, in the January 2025 term: 18 questions for 50 marks in 120 minutes. The first 3 questions are below. Sign in with Google — it is free — to see the whole paper with its answers and explanations, in learning mode or as a timed mock test.

FeatureIntro to NLP Quiz 2 16 Mar 2025 at a glance
TermJanuary 2025 term
SubjectIntroduction to Natural Language Processing
Course codeBSDA5005
Questions18
Marks50
Duration120 min
MCQ9
MSQ6
Numerical3
Official paperIIT M DEGREE AN EXAM QDB2 16 Mar 2025
Negative markingNo negative marking.
Updated

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