They reported to achieve 63% and 45% accuracies for coarse and fine-grained answer-type detection, respectively under 5-fold cross validation setup.
we manually create 5, 535 codemixed questions and train a CNN model that shows 87.21% and 83.56% accuracies for coarse and fine answer types, respectively, for the 5-fold cross validation.