tokens: We make three contributions : ( 1 ) providing an extensive qualitative and quantitative analysis of the information contained in human visual questions , ( 2 ) proposing two simple but surprisingly effective modifications to the standard visual question answering models that allow them to make use of weak supervision in the form of unanswered questions associated with images and ( 3 ) demonstrating that a simple data augmentation strategy inspired by our insights results in a improvement on the standard VQA benchmark .