Definition: Sometimes users of dialogue systems ask vague questions/queries from the system. In this case, the system asks them a clarifying question to be able to answer it correctly. In this task, you are given a question/query in natural language and your task is to ask a good clarifying question to understand the given question/query more precisely.

Positive Example 1 -
Input: Tell me about defender
Output: are you referring to the arcade game called defender

Positive Example 2 -
Input: I'm looking for information on hobby stores
Output: what location do you want to find a hobby store in

Negative Example 1 -
Input: Find me information about the Ritz Carlton Lake Las Vegas.
Output: do you want information about Ritz Carlton Lake now or later

Negative Example 2 -
Input: I'm looking for information on hobby stores
Output: why are you looking for information on stores

Now complete the following example -
Input: what is the best long term care insurance
Output: 



Output:
are you interested in comparing coverage prices
when do you expect to need coverage to begin
would you like to buy a book on the best types of best long term insurances and learn more about it
would you like to find out the different types of payment options for the best long term care insurance
would you like to know the age should to start buying best long term care insurance
are you interested in getting a quote for coverage
are you interested in more information on the best long term care insurance
are you interested in the best priced long term care insurance or best coverage
are you interested in the cost for best long term care insurance or short term
are you looking for a specific insurance company
do you plan to sign up for coverage online
do you think the best long term care insurance is right for you
what area of the country do you live in