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The present paper presents the Weighted Ontology Approximation Heuristic(WOAH), a novel zero-shot approach to ontology estimation for conversationalagents development environments. This methodology extracts verbs and nounsseparately from data by distilling the dependencies obtained and applyingsimilarity and sparsity metrics to generate an ontology estimation configurablein terms of the level of generalization.

WOAH: Preliminaries to Zero-shot Ontology Learning for Conversational Agents