Definition: In this task, you are given a sentence and a verb from the sentence. Your task is to generate a set of wh-questions starting with who, what, when, where, why, how, how much. The generated questions must contain the verb and the answers to these questions are phrases in the input sentence. The answer to the questions is associated with a specific semantic role. The answer to these questions is associated with a specific semantic role. The questions must use pronouns instead of direct nouns that could be used to refer to various roles present in the sentence. Construct a question in such a way that (i) it is unambiguous, (ii) its answer is unique (iii) its answer is a continuous text span from the paragraph.

Positive Example 1 -
Input: Sentence: The album is named after the discredited pseudoscience of phrenology , the study of head shapes to determine intelligence and character , which was used to rationalize racism during the 19th century in the United States .
 Verb: named
Output: what is  named  after something?

Positive Example 2 -
Input: Sentence: The album is named after the discredited pseudoscience of phrenology , the study of head shapes to determine intelligence and character , which was used to rationalize racism during the 19th century in the United States . 
 Verb: named
Output: what was something named  after?

Negative Example 1 -
Input: Sentence: On September 21 , 1955 , Moore went up in weight to face future Hall of Famer Rocky Marciano for Marciano 's Heavyweight Championship . 
 Verb: went
Output: Did something went up?

Negative Example 2 -
Input: Sentence: On September 21 , 1955 , Moore went up in weight to face future Hall of Famer Rocky Marciano for Marciano 's Heavyweight Championship . 
 Verb: went
Output: why did Moore go up in something?

Now complete the following example -
Input: Sentence: As for punishment , intoxication may be a mitigating factor that decreases a prison or jail sentence . 
 Verb: decreases
Output: 


Output:
what may  decrease something?
what may  be decreased?