The researchers wanted to make it easier for computers to understand when people ask questions in everyday language that involve looking up information in databases. They figured out a way to use the history of past questions people asked databases, written in a computer language called SQL, to help the computer understand new questions better. By using this method, they improved the accuracy of understanding these questions by as much as 138%.