Distant Supervision Relation Extraction with Intra-Bag and Inter-Bag Attentions
Table 7: The distributions of inter-bag attention weights for the bags with different number of sentences.
['[BOLD] sentence number', '[BOLD] mean±std']
We divided the training set into 5 parts according to the number of sentences in each bag. For each bag, the inter-bag attention weights given by the PCNN+ATT_RA+BAG_ATT model were recorded. From this table, we can see that the bag with smaller number of training sentences were usually assigned with lower inter-bag attention weights. This result was consistent with the finding in Qin et al.