Distilling Hypernymy Relations from Language Models: On the Effectiveness of Zero-Shot Taxonomy Induction

Ushio et al., 2021; Paranjape et al., 2021), multiword expression (MWE) identification (Espinosa-In this paper, we analyze zero-shot taxonomy In this paper, we evaluate LMs on TL benchmarks Taxonomy learning (TL) is the task of arranging using prompt-based and sentence-scoring domain terminologies into hierarchical structures techniques, and find not only that they are competitive where terms are nodes and edges denote is-a (hypernymic) with common approaches proposed in the relationships (Hwang et al., 2012). Domainspecific literature (which are typically supervised and/or concept generalization is at the core of human reliant on external resources), but that they achieve cognition (Yu et al., 2015), and a key enabler SoTa results in certain domains.