End-to-End Reinforcement Learning for Automatic Taxonomy Induction

Yuning Mao, Xiang Ren, Jiaming Shen +2

We present a novel end-to-end reinforcement learning approach to automatic taxonomy induction from a set of terms. While prior methods treat the problem as a two-phase task (i.e.,…