Papers with hyperbolic embeddings
Modality Matching Matters: Calibrating Language Distances for Cross-Lingual Transfer in URIEL+ (2026.eacl-srw)
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York Hay Ng, Aditya Khan, Xiang Lu, Matteo Salloum, Michael Zhou, Phuong Hanh Hoang, A. Seza Doğruöz, En-Shiun Annie Lee
| 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. |