In the incomplete KB setting, we simulate KB-based QA on an incomplete KB by randomly discarding some of the triples in the KB: specifically, we randomly drop a fact from the knowledge base with probability p = 50%.
we focus on tasks in which questions require compositional (sometimes called "multi-hop") reasoning, and a setting in which the KB is incomplete, and hence must be supplemented with information extracted from text.