Before revision: We present a method for inducing taxonomic trees from pretrained transformers. Given a set of input terms, we assign a score for the likelihood that each pair of terms forms a parent-child relation .
After revision: We present a method for constructing taxonomic trees (e.g., WordNet) using pretrained language models. Our approach is composed of two modules, one that predicts parenthood relations and another that reconciles those predictions into trees. The parenthood prediction module produces likelihood scores for each potential parent-child pair, creating a graph of parent-child relation .