Papers with hyperbolic embeddings

3 papers
Modality Matching Matters: Calibrating Language Distances for Cross-Lingual Transfer in URIEL+ (2026.eacl-srw)

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Challenge: Existing linguistic knowledge bases such as URIEL+ lack a principled method for aggregating these signals into a single, comprehensive score.
Approach: They propose a framework for type-matched language distances that unifies these signals into a robust, task-agnostic composite distance.
Outcome: The proposed representations improve transfer performance when the distance type is relevant to the task, while yielding gains in most tasks.
Inferring Concept Hierarchies from Text Corpora via Hyperbolic Embeddings (P19-1)

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Challenge: Using hyperbolic embeddings, we can infer concept hierarchies from distributional contexts while also being able to predict missing “is-a”-relationships and correct wrong extractions.
Approach: They propose a method combining hyperbolic embeddings and Hearst patterns to set appropriate constraints for inferring “is-a” relationships from large text corpora and improve taxonomic consistency.
Outcome: The proposed method achieves state-of-the-art performance on a variety of hypernymy benchmarks.
Complex Hyperbolic Knowledge Graph Embeddings with Fast Fourier Transform (2022.emnlp-main)

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Challenge: Existing studies have shown that the choice of space for knowledge graph (KG) embeddings has significant effects on the performance of KG completion tasks.
Approach: They propose to use the Fourier transform to convert between real and complex hyperbolic space to capture hierarchical patterns.
Outcome: The proposed models outperform the baseline models for knowledge graph (KG) embeddings.

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