NLP CT2

1. Scenario: Given the sentence "The quick brown fox jumps over the lazy dog," a parser produces the tree where "The quick brown fox" is identified as a noun phrase (NP) and "jumps over the lazy dog" as a verb phrase (VP). Question: What type of parse tree is this?

• 1. Dependency tree

• Constituency tree

• 1. Semantic tree

• Morphological tree

3. Scenario: A researcher is analyzing the sentence "Alice gave Bob a gift" and wants to understand the syntactic relationships between words. Question: In a dependency parse, which word is most likely the root of the sentence?

• Alice

• Bob

• gave

• gift

3. In the same sentence "Alice gave Bob a gift," the researcher identifies "Alice" as the subject and "Bob" as the indirect object. Question: What dependency relations do "Alice" and "Bob" represent in the context of dependency parsing?

• • nsubj and iobj

• • subj and obj

• • root and comp

• • det and prep

5. Scenario: The chatbot receives the input "Can you book a flight to New York for me?" and needs to understand that "book" refers to the action of making a reservation. Question: Which semantic concept is critical for interpreting the word "book" correctly in this context?

• 5. Polysemy

• 5. Synonymy

• 5. Antonymy

• 5. Homophony

7. Scenario: A semantic parser is being tested on the sentence "Show me flights from New York to Los Angeles on July 5th." Question: Which logical form would correctly represent this sentence for a flight search application?

• search(flights, New York, Los Angeles, July 5th)

• SELECT * FROM flights WHERE departure = 'New York' AND destination = 'Los Angeles' AND date = 'July 5th'

• 7. NY -> LA 07/05

• Find flights from New York to Los Angeles on July 5th

7. Scenario: An e-commerce platform uses a semantic parser to interpret user commands. A user inputs "Add a blue shirt to my cart." Question: What kind of output should the semantic parser generate to perform this action?

• display('blue shirt')

• 7. SELECT * FROM inventory WHERE item = 'shirt' AND color = 'blue'

• add_to_cart(item: 'shirt', color: 'blue')

• 7. INSERT INTO cart VALUES ('blue shirt')

2. Question: In the sentence "John gave Mary a book," what is the semantic role of "Mary"?

• Agent

• Theme

• Source

• Goal

6. Question: In intent detection for conversational AI, what is the main goal?

• To identify the grammatical structure of a sentence

• To detect the user’s intention behind their input

• To translate text from one language to another

• To generate coherent text responses

7. Question: Which of the following best describes paraphrase extraction?

• 7. Identifying synonyms for words in a sentence

• Detecting the subject and predicate in a sentence

• Translating text into another language

• Extracting phrases that have the same meaning as another phrase

10. Question: Which of the following contributes to text coherence?

• • Using complex vocabulary

• • Increasing sentence length

• • Maintaining consistent and logical connections between ideas

• • Varying sentence structure frequently