Machine comprehension of text is a significant problem in natural language processing today – in this project, we tackle machine reading comprehension as applied to question answering. Our goal is: given a question and a context paragraph, to extract from the paragraph the answer to the question. As an oracle, on the dataset we used, humans score over 86.8% accuracy (EM) on the test set for thi...