  The present paper presents the Weighted Ontology Approximation Heuristic
(WOAH), a novel zero-shot approach to ontology estimation for conversational
agents development environments. This methodology extracts verbs and nouns
separately from data by distilling the dependencies obtained and applying
similarity and sparsity metrics to generate an ontology estimation configurable
in terms of the level of generalization.
