Question 1

What is the primary goal of dependency parsing in NLP?

Options :

A : Translate languages

B : Classify text documents

C : Analyze grammatical relationships

D : Tokenize sentences

Answer: C

Question 2

What is a hyperparameter in the context of machine learning algorithms?

Options :

A : Parameters used for feature engineering

B : Parameters adjusted automatically during training

C : Parameters learned from the data

D : Parameters set manually before training

Answer: D

Question 3

Explain the concept of explainable AI (XAI).

Options :

A : It enhances server performance

B : It improves cloud computing

C : It enables transparency in AI decision-making

D : It optimizes network latency

Answer: C

Question 4

How can AI impact societal trust in technological advancements?

Options :

A : AI enhancing cybersecurity measures

B : AI reducing technological dependence

C : AI eroding public trust due to privacy concerns

D : AI improving transparency in technology

Answer: C

Question 5

Which statistical model is commonly used for part-of-speech tagging in NLP?

Options :

A : Recurrent Neural Network

B : Support Vector Machine

C : Decision Tree

D : Hidden Markov Model

Answer: D

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