Hierarchical concept geometry in embeddings emerges from the spectral properties of word co-occurrence statistics mirroring WordNet hypernym trees.
Poincaré embeddings for learning hierarchical represen- tations
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Hierarchical Concept Geometry in Language Models Emerges from Word Co-occurrence
Hierarchical concept geometry in embeddings emerges from the spectral properties of word co-occurrence statistics mirroring WordNet hypernym trees.