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Hierarchical Embeddings for Hypernymy Detection and Directionality

arXiv 1707.07273 ↗First posted 23 Jul 2017cs.CLcited by 19

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Abstract (arXiv)

We present a novel neural model HyperVec to learn hierarchical embeddings for hypernymy detection and directionality. While previous embeddings have shown limitations on prototypical hypernyms, HyperVec represents an unsupervised measure where embeddings are learned in a specific order and capture the hypernym-hyponym distributional hierarchy. Moreover, our model is able to generalize over unseen hypernymy pairs, when using only small sets of training data, and by mapping to other languages. Results on benchmark datasets show that HyperVec outperforms both state-of-the-art unsupervised measures and embedding models on hypernymy detection and directionality, and on predicting graded lexical entailment.

Key facts. Cited by 19 papers in the map (data through 7 Oct 2026). First posted on arXiv 23 Jul 2017.

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Citing papers per year: 2021: 6; 2022: 4; 2023: 2; 2024: 2; 2025: 2; 2026: 3.

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  1. 2023Hyperbolic Image-Text Representationscited by 132
  2. 2024Compositional Entailment Learning for Hyperbolic Vision-Language Modelscited by 72
  3. 2021ASER: Towards Large-scale Commonsense Knowledge Acquisition via Higher-order Selectional Preference over Eventualitiescited by 28
  4. 2024Emergent Visual-Semantic Hierarchies in Image-Text Representationscited by 19
  5. 2022Embracing Ambiguity: Improving Similarity-oriented Tasks with Contextual Synonym Knowledgecited by 11
  6. 2022A Rotated Hyperbolic Wrapped Normal Distribution for Hierarchical Representation Learningcited by 10
  7. 2025PHyCLIP: ℓ1-Product of Hyperbolic Factors Unifies Hierarchy and Compositionality in Vision-Language Representation Learningcited by 7
  8. 2021Do Models Learn the Directionality of Relations? A New Evaluation: Relation Direction Recognitioncited by 2
  9. 2021Yseop at FinSim-3 Shared Task 2021: Specializing Financial Domain Learning with Phrase Representationscited by 2
  10. 2021A Survey On Neural Word Embeddingscited by 2
  11. 2022HyperBox: A Supervised Approach for Hypernym Discovery using Box Embeddingscited by 2
  12. 2025HCCM: Hierarchical Cross-Granularity Contrastive and Matching Learning for Natural Language-Guided Dronescited by 2
7 more
  1. 2021ASPER: Attention-based Approach to Extract Syntactic Patterns denoting Semantic Relations in Sentential Contextcited by 1
  2. 2022Lexical semantics enhanced neural word embeddingscited by 1
  3. 2023Probing Taxonomic and Thematic Embeddings for Taxonomic Informationcited by 1
  4. 2021Order Embeddings from Merged Ontologies using Sketchingcited by 0
  5. 2026Text Data Integrationcited by 0
  6. 2026HSG: Hyperbolic Scene Graphcited by 0
  7. 2026GRASP: Granularity-Aware Region Alignment and Semantic Prototype Learning for Fine-Grained Cross-Modal Understanding in Drone Viewscited by 0