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Inferring Concept Hierarchies from Text Corpora via Hyperbolic Embeddings

arXiv 1902.00913 ↗First posted 3 Feb 2019cs.CLcited by 49

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Abstract (arXiv)

We consider the task of inferring is-a relationships from large text corpora. For this purpose, we propose a new method combining hyperbolic embeddings and Hearst patterns. This approach allows us to set appropriate constraints for inferring concept hierarchies from distributional contexts while also being able to predict missing is-a relationships and to correct wrong extractions. Moreover -- and in contrast with other methods -- the hierarchical nature of hyperbolic space allows us to learn highly efficient representations and to improve the taxonomic consistency of the inferred hierarchies. Experimentally, we show that our approach achieves state-of-the-art performance on several commonly-used benchmarks.

Key facts. Cited by 49 papers in the map (data through 7 Oct 2026). First posted on arXiv 3 Feb 2019.

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Citing papers per year: 2021: 7; 2022: 5; 2023: 3; 2024: 6; 2025: 10; 2026: 18.

49 papers.

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  1. 2023Hyperbolic Image-Text Representationscited by 132
  2. 2024Compositional Entailment Learning for Hyperbolic Vision-Language Modelscited by 72
  3. 2022Hyperbolic Graph Neural Networks: A Review of Methods and Applicationscited by 40
  4. 2021ASER: Towards Large-scale Commonsense Knowledge Acquisition via Higher-order Selectional Preference over Eventualitiescited by 28
  5. 2025Hyperbolic Deep Learning for Foundation Models: A Surveycited by 20
  6. 2024HYPE: Hyperbolic Entailment Filtering for Underspecified Images and Textscited by 17
  7. 2025Hyperbolic Safety-Aware Vision-Language Modelscited by 17
  8. 2025Position: Beyond Euclidean -- Foundation Models Should Embrace Non-Euclidean Geometriescited by 15
  9. 2021HyperExpan: Taxonomy Expansion with Hyperbolic Representation Learningcited by 14
  10. 2021Enquire One's Parent and Child Before Decision: Fully Exploit Hierarchical Structure for Self-Supervised Taxonomy Expansioncited by 13
  11. 2022Small Transformers Compute Universal Metric Embeddingscited by 12
  12. 2024Hyperbolic Learning with Synthetic Captions for Open-World Detectioncited by 11
37 more
  1. 2021Hyperbolic Geometry is Not Necessary: Lightweight Euclidean-Based Models for Low-Dimensional Knowledge Graph Embeddingscited by 10
  2. 2024Large Language Models for Scholarly Ontology Generation: An Extensive Analysis in the Engineering Fieldcited by 10
  3. 2022Modelling Commonsense Properties using Pre-Trained Bi-Encoderscited by 9
  4. 2025Low-distortion and GPU-compatible Tree Embeddings in Hyperbolic Spacecited by 6
  5. 2024Ontology Completion with Natural Language Inference and Concept Embeddings: An Analysiscited by 4
  6. 2026Path-Decoupled Hyperbolic Flow Matching for Few-Shot Adaptationcited by 4
  7. 2026HyFI: Hyperbolic Feature Interpolation for Brain-Vision Alignmentcited by 4
  8. 2021Augmenting the User-Item Graph with Textual Similarity Modelscited by 3
  9. 2021Hyperbolic Disentangled Representation for Fine-Grained Aspect Extractioncited by 3
  10. 2023Shadow Cones: A Generalized Framework for Partial Order Embeddingscited by 3
  11. 2025Global and Local Entailment Learning for Natural World Imagerycited by 3
  12. 2022HyperBox: A Supervised Approach for Hypernym Discovery using Box Embeddingscited by 2
  13. 2022Cross-lingual Word Embeddings in Hyperbolic Spacecited by 2
  14. 2024A Geometry-Aware Algorithm to Learn Hierarchical Embeddings in Hyperbolic Spacecited by 2
  15. 2025Hierarchical Level-Wise News Article Clustering via Multilingual Matryoshka Embeddingscited by 2
  16. 2025Learning Protein-Ligand Binding in Hyperbolic Spacecited by 2
  17. 2025HCCM: Hierarchical Cross-Granularity Contrastive and Matching Learning for Natural Language-Guided Dronescited by 2
  18. 2026Uncertainty-guided Compositional Alignment with Part-to-Whole Semantic Representativeness in Hyperbolic Vision-Language Modelscited by 2
  19. 2025Minimizing Hyperbolic Embedding Distortion with LLM-Guided Hierarchy Restructuringcited by 1
  20. 2026Hierarchical Concept Embedding & Pursuit for Interpretable Image Classificationcited by 1
  21. 2026Semantic Alignment in Hyperbolic Space for Open-Vocabulary Semantic Segmentationcited by 1
  22. 2026Attend to Anything: Foundation Model for Unified Human Attention Modelingcited by 1
  23. 2026HyperVis: Continuous Latent Visual Relational Graphs on the Lorentz Hyperboloid for Compositional Reasoningcited by 1
  24. 2026Hierarchical Semantic-Constrained Heterogeneous Graph for Audio-Visual Event Localizationcited by 1
  25. 2026HyperVLP: Enhancing Hierarchical Surgical Video-Language Pre-training in Hyperbolic Spacecited by 1
  26. 2021Understanding in Artificial Intelligencecited by 0
  27. 2023Enhancing Classification with Hierarchical Scalable Query on Fusion Transformercited by 0
  28. 2025A Hybrid AI Methodology for Generating Ontologies of Research Topics from Scientific Paper Corporacited by 0
  29. 2026Forget Less by Learning from Parents Through Hierarchical Relationshipscited by 0
  30. 2026Intrinsic Concept Extraction Based on Compositional Interpretabilitycited by 0
  31. 2026Lorentz Framework for Semantic Segmentationcited by 0
  32. 2026HSG: Hyperbolic Scene Graphcited by 0
  33. 2026Hyperbolic Concept Bottleneck Modelscited by 0
  34. 2026HyNeuralMap: Hyperbolic Mapping of Visual Semantics to Neural Hierarchiescited by 0
  35. 2026BoostTaxo: Zero-Shot Taxonomy Induction via Boosting-Style Agentic Reasoning and Constraint-Aware Calibrationcited by 0
  36. 2026HyFL-CLIP: Hyperbolic Fine-Tuning of CLIP for Robust Long-Context Understandingcited by 0
  37. 2026Group-Equivariant Poincar'e Convolutional Networkscited by 0