Polaris separates semantic meaning from hierarchical structure in embeddings via angular geometry and radius on a hypersphere, yielding up to 19-point gains in taxonomy expansion retrieval over baselines.
Translating place-related questions to geosparql queries
2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
citation-role summary
method 1
citation-polarity summary
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UNVERDICTED 2roles
method 1polarities
use method 1representative citing papers
TerraQ is a spatiotemporal question-answering engine for satellite image archives that processes natural language requests involving image metadata and knowledge base entities.
citing papers explorer
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Polaris: Coupled Orbital Polar Embeddings for Hierarchical Concept Learning
Polaris separates semantic meaning from hierarchical structure in embeddings via angular geometry and radius on a hypersphere, yielding up to 19-point gains in taxonomy expansion retrieval over baselines.
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TerraQ: Spatiotemporal Question-Answering on Satellite Image Archives
TerraQ is a spatiotemporal question-answering engine for satellite image archives that processes natural language requests involving image metadata and knowledge base entities.