Improved Representation Learning for Predicting Commonsense Ontologies

1 Aug 2017Xiang LiLuke VilnisAndrew McCallum

Recent work in learning ontologies (hierarchical and partially-ordered structures) has leveraged the intrinsic geometry of spaces of learned representations to make predictions that automatically obey complex structural constraints. We explore two extensions of one such model, the order-embedding model for hierarchical relation learning, with an aim towards improved performance on text data for commonsense knowledge representation... (read more)

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