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Accepting natural language questions makes the system more user-friendly, but harder to implement, as there are a variety of question types and the system will have to identify the correct one in order to give a sensible answer. Assigning a question type to the question is a crucial task; the entire answer extraction process relies on finding ...
Python sets are very much like mathematical sets, and support operations like set intersection and union. Python also features a frozenset class for immutable sets, see Collection types. Dictionaries (class dict) are mutable mappings tying keys and corresponding values. Python has special syntax to create dictionaries ({key: value})
A 2013 study has found that 75% of users only ask one question, 65% only answer one question, and only 8% of users answer more than 5 questions. [34] To empower a wider group of users to ask questions and then answer, Stack Overflow created a mentorship program resulting in users having a 50% increase in score on average. [ 35 ]
A rhetorical question may be intended as a challenge. The question is often difficult or impossible to answer. In the example, "What have the Romans ever done for us?" (Monty Python's Life of Brian) the question functions as a negative assertion. It is intended to mean "The Romans have never done anything for us!"
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A loaded question is a form of complex question that contains a controversial assumption (e.g., a presumption of guilt). [1] Such questions may be used as a rhetorical tool: the question attempts to limit direct replies to be those that serve the questioner's agenda. [2] The traditional example is the question "Have you stopped beating your wife?"
Even with violence returning to the Middle East, Ukraine remains a frontline of defense in a volatile world. But leaders need to start making that case.
An early example of answer set programming was the planning method proposed in 1997 by Dimopoulos, Nebel and Köhler. [3] [4] Their approach is based on the relationship between plans and stable models. [5] In 1998 Soininen and Niemelä [6] applied what is now known as answer set programming to the problem of product configuration. [4]