Structured Learning for Taxonomy Induction with Belief Propagation

  title={Structured Learning for Taxonomy Induction with Belief Propagation},
  author={Mohit Bansal and David Burkett and Gerard de Melo and Dan Klein},
We present a structured learning approach to inducing hypernym taxonomies using a probabilistic graphical model formulation. Our model incorporates heterogeneous relational evidence about both hypernymy and siblinghood, captured by semantic features based on patterns and statistics from Web n-grams and Wikipedia abstracts. For efficient inference over taxonomy structures, we use loopy belief propagation along with a directed spanning tree algorithm for the core hypernymy factor. To train the… CONTINUE READING
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