Question-Aware Sentence Gating Networks for Question and Answering
Table 2: Performance comparisons of the question-aware sentence gate over the baseline Match-LSTM on SQuAD dataset.
['[BOLD] Model', '[BOLD] EM', '[BOLD] F1']
S5SS1SSS1Px1 SQuAD We use two metrics to evaluate the model performance: Exact Match (EM) and F1 score. EM measures the percentage of questions in which the model prediction is exactly matched with the ground truth and F1 measures the harmonic average of the precision and recall between a model prediction and ground truth answer span at character level. Our model outperforms the baseline model by 1.53% in EM.