Enhancing lexical-based approach with external knowledge for Vietnamese multiple-choice reading comprehension
Figure 5: Analysis and visualization of the best model’s result with different types of reasoning.
['Reasoning Type', '#Correct', '#Total', 'Acc.(%)']
We also performed analysis to see how the reasoning types influence the best MMRC model. We found that the system determines answers more efficiently for the of the word matching and the paraphrasing reasoning types (WM and PP), 92.11% and 82.93% in accuracy, respectively. In contrast, complex forms of reasoning resulted in lower performances. They include single-sentence reasoning, multi-sentence reasoning, and ambiguous-or-insufficient.