Performance of natural language classifiers in a question-answering system.

Deep-learning algorithms are being used extensively in question–answering systems based on natural language classifiers to classify an incoming user question into a set of classes with the same answer. We treat a natural language classifier as a black box and study its performance with respect to the ground truth that is used to train and test the system. We have observed that maintaining ground t...