This leads to the discovery of additional basic-level terms or instances, which are then recycled in turn to discover new intermediate concepts, and so on.
we can compare the results produced by the first iteration of our algorithm (before intermediate concepts are learned) to those of (Kozareva et al., 2008) for the Animal and People categories, and then compare again after 10 bootstrapping iterations of intermediate concept learning.