WorksheetsNLP_W9_B1
Total questions: 10
Worksheet time: 5mins
What is the thematic role of the entity that performs the action in a sentence?
Patient
Beneficiary
Theme
Agent
In the sentence, "The teacher gave the book to the student," what is the thematic role of "the student"
Agent
Goal
Beneficiary
Theme
Which of the following sentences has a clear example of a "Location" thematic role
John put the book on the shelf.
He cut the paper with scissors.
She made a cake for her mother.
The book was given to the student.
What is the primary goal of PropBank annotation
To identify coreference chains
To assign semantic roles to arguments of verbs
To determine word frequency
To analyze sentence syntax
Which of the following is TRUE about PropBank annotation
It labels arguments of verbs with semantic roles.
It involves annotating the syntactic structure of sentences.
It focuses on part-of-speech tagging.
It is based on dependency structures.
Which component of a sentence is typically labeled as "Arg2" in PropBank
Direction or endpoint of the action
Instrument
Manner
Beneficiary
In a Markov Chain, the probabilities associated with moving from one state to another are known as:
Steady-state probabilities
Initial state probabilities
Transition probabilities
Absorbing probabilities
What is a "steady-state" distribution in a Markov Chain
The distribution of states for an absorbing Markov Chain
The distribution of states with zero transitions
The distribution of states after a large number of steps, where probabilities no longer change
The distribution of states at the first time step
In a Markov Chain, if the system has a finite number of states and the transition matrix is stochastic, then:
The system will eventually reach an absorbing state
The system can never reach a steady state
The row sums of the transition matrix must equal 1
The system has an infinite number of possible states
Which of the following is an example of a Markov process
A system with random transitions based on previous states and external factors
A coin flip where the outcome depends on previous flips
A weather model where tomorrow’s weather depends only on today’s weather
Stock prices where tomorrow’s price depends on the entire past history
