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Hearst Patterns Revisited: Automatic Hypernym Detection from Large Text Corpora

arXiv 1806.03191 ↗First posted 8 Jun 2018cs.CLcited by 26

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Abstract (arXiv)

Methods for unsupervised hypernym detection may broadly be categorized according to two paradigms: pattern-based and distributional methods. In this paper, we study the performance of both approaches on several hypernymy tasks and find that simple pattern-based methods consistently outperform distributional methods on common benchmark datasets. Our results show that pattern-based models provide important contextual constraints which are not yet captured in distributional methods.

Key facts. Cited by 26 papers in the map (data through 7 Oct 2026). First posted on arXiv 8 Jun 2018.

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Citing papers per year: 2021: 6; 2022: 5; 2023: 6; 2024: 5; 2025: 2; 2026: 2.

26 papers.

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  1. 2021ASER: Towards Large-scale Commonsense Knowledge Acquisition via Higher-order Selectional Preference over Eventualitiescited by 28
  2. 2022TaxoEnrich: Self-Supervised Taxonomy Completion via Structure-Semantic Representationscited by 20
  3. 2021SciCo: Hierarchical Cross-Document Coreference for Scientific Conceptscited by 14
  4. 2021Enquire One's Parent and Child Before Decision: Fully Exploit Hierarchical Structure for Self-Supervised Taxonomy Expansioncited by 13
  5. 2024End-to-End Ontology Learning with Large Language Modelscited by 12
  6. 2021Language Models for Lexical Inference in Contextcited by 9
  7. 2021Conversational Negation using Worldly Context in Compositional Distributional Semanticscited by 9
  8. 2022Open Relation and Event Type Discovery with Type Abstractioncited by 9
  9. 2023CCGen: Explainable Complementary Concept Generation in E-Commercecited by 5
  10. 2022Learning What You Need from What You Did: Product Taxonomy Expansion with User Behaviors Supervisioncited by 4
  11. 2024FLAME: Self-Supervised Low-Resource Taxonomy Expansion using Large Language Modelscited by 4
  12. 2022Cross-lingual Word Embeddings in Hyperbolic Spacecited by 2
14 more
  1. 2023Enhancing PLM Performance on Labour Market Tasks via Instruction-based Finetuning and Prompt-tuning with Rulescited by 2
  2. 2024Find Parent then Label Children: A Two-stage Taxonomy Completion Method with Pre-trained Language Modelcited by 2
  3. 2021ASPER: Attention-based Approach to Extract Syntactic Patterns denoting Semantic Relations in Sentential Contextcited by 1
  4. 2022UU-Tax at SemEval-2022 Task 3: Improving the generalizability of language models for taxonomy classification through data augmentationcited by 1
  5. 2023Probing Taxonomic and Thematic Embeddings for Taxonomic Informationcited by 1
  6. 2023Learning Semantic Text Similarity to rank Hypernyms of Financial Termscited by 1
  7. 2024Exploring Prompt-Based Methods for Zero-Shot Hypernym Prediction with Large Language Modelscited by 1
  8. 2024Misalignment of Semantic Relation Knowledge between WordNet and Human Intuitioncited by 1
  9. 2025Text-to-SQL Task-oriented Dialogue Ontology Constructioncited by 1
  10. 2025On the Distinctive Co-occurrence Characteristics of Antonymycited by 1
  11. 2023A Benchmark for Text Expansion: Datasets, Metrics, and Baselinescited by 0
  12. 2023A Computational Analysis of Vagueness in Revisions of Instructional Textscited by 0
  13. 2026RATIO: A Benchmark for Retrieval Across Typed Ideation Operations in Scientific Literaturecited by 0
  14. 2026SPARROW: Scalable Taxonomy Induction via Structure-Preserving Partitioning and Constraint-Guided Mergingcited by 0