Learning Continuous Hierarchies in the Lorentz Model of Hyperbolic Geometry

• Main Authors: Nickel, Maximilian, Kiela, Douwe
• Format: Journal Article
• Language: English
• Published: 09.06.2018
• Subjects: Computer Science - Artificial Intelligence; Computer Science - Learning; Statistics - Machine Learning

We are concerned with the discovery of hierarchical relationships from large-scale unstructured similarity scores. For this purpose, we study different models of hyperbolic space and find that learning embeddings in the Lorentz model is substantially more efficient than in the Poincar\'e-ball m...