Question Answering with SQuAD: Variations on Multi-Perspective Context Matching


We implement multi-perspective context matching for the task of questionanswering on the SQuAD dataset and explore a variety of modifications to this core architecture. In our first modification, we compare the performance of GRUs with that of LSTMs in the original model. Next we attempt to predict the answer’s start index and length rather than its start… (More)


5 Figures and Tables