Variational Reasoning for Question Answering with Knowledge Graph
Table 4: Ratios of new entities and new entity pairs in each dataset.
['[EMPTY]', '1-hop', '2-hop', '3-hop']
Vanilla-EU: Without topic entity labels, all reasoning-based methods are getting worse on multi-hop questions. However, supervised embedding gets better in this case, since it just learns to remember the pair of question and answer entities. According to the statistics in Appendix That explains why supervised embedding behaves differently on this dataset.