Polaris learns hierarchical concepts via coupled orbital polar embeddings on hyperspheres that separate meaning from structure using tangent projections, exponential maps, and asymmetric objectives, yielding up to 19-point gains in top-K retrieval.
S em E val-2016 Task 14: Semantic Taxonomy Enrichment
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Polaris: Coupled Orbital Polar Embeddings for Hierarchical Concept Learning
Polaris learns hierarchical concepts via coupled orbital polar embeddings on hyperspheres that separate meaning from structure using tangent projections, exponential maps, and asymmetric objectives, yielding up to 19-point gains in top-K retrieval.