Multi-Perspective Fusion Network for Commonsense Reading Comprehension
Table 3: Test Accuracy of Multi-Perspective
['Perspective', 'MPFN', 'MPFN+BiLSTM']
To study the effectiveness of each perspective, we conduct several experiments on the three single perspectives and their combination perspective. The first group of models are based on the three single perspectives, and we can observe that the union perspective performs best compared with the difference and similarity perspective. Moreover, the union perspective achieves 82.73% in accuracy, exceeding the TriAN by 0.79% absolute. We can also see that the similarity perspective is inferior to the other two perspectives. Many advanced models employ a BiLSTM to further aggregate the fusion results. In the section, we conduct ablation study on the encoding inputs to examine the effectiveness each component. \deleted embedding Cp and choice-aware question embedding Cq.