Question 1

In what scenario is transfer learning often applied in deep learning?

Options :

A : Text data processing

B : Small dataset for new task

C : Large dataset available

D : Unsupervised learning

Answer: B

Question 2

What is the purpose of the Viterbi algorithm in NLP?

Options :

A : Remove stop words

B : Classify text documents

C : Find most likely sequence of hidden states

D : Tokenize sentences

Answer: C

Question 3

Which technique is used to handle the problem of overfitting in NLP models?

Options :

A : Gradient Descent

B : Batch Normalization

C : Dropout Regularization

D : Max Pooling

Answer: C

Question 4

What ethical issues can arise from using AI in criminal justice systems for predictive policing?

Options :

A : Enhanced fairness and objectivity in law enforcement

B : Bias in policing practices and increased surveillance

C : Reduction in crime rates and improved community relations

D : Decrease in law enforcement efficiency

Answer: B

Question 5

Which of the following tasks in NLP involves converting speech into text?

Options :

A : Speech Recognition

B : Sentiment Analysis

C : Text-to-Speech

D : Machine Translation

Answer: A