Data Augmentation for BERT Fine-Tuningin Open-Domain Question Answering
Table 3: Results on TriviaQA
['Model', 'EM', 'F1', 'R']
With just fine tuning on the source dataset, we obtain a score that is only slightly above the previous state of the art Wang et al. Interestingly, using only positive examples leads to worse effectiveness than just using the source dataset. However, fine tuning on both positive and negative examples leads to a three point boost in exact match score, establishing a new high score on this dataset.