Hierarchical Graph Network for Multi-hop Question Answering
Table 5: Results with different pre-trained language models on the dev set in the Distractor setting. (†) is unpublished work with results on the test set, using BERT whole word masking (wwm).
['Model', 'Ans F1', 'Sup F1', 'Joint F1']
As shown in Table 5, the use of PS Graph improves the joint F1 score over the plain RoBERTa model by 1.59 points. By further adding entity nodes, the Joint F1 increases by 0.18 points.