Commonsense Evidence Generation and Injection in Reading Comprehension
Table 4: Accuracy (%) of different models on CommonsenseQA development set
['Model', 'Acc']
RoBERTa + T, RoBERTa + F and RoBERTa + (T+F) includes textual evidence, factual evidence and both evidence together respectively. We observe that our model RoBERTa + T and RoBERTa + F can produce competitive performance compared to all baselines. By utilizing both textual knowledge and factual knowledge, our approach outperforms RoBERTa+IR and achieves the highest accuracy 79.1%.