mlsanityData to 14 Oct 2026

Improving Hypernymy Detection with an Integrated Path-based and Distributional Method

arXiv 1603.06076 ↗First posted 19 Mar 2016cs.CLcited by 27

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Abstract (arXiv)

Detecting hypernymy relations is a key task in NLP, which is addressed in the literature using two complementary approaches. Distributional methods, whose supervised variants are the current best performers, and path-based methods, which received less research attention. We suggest an improved path-based algorithm, in which the dependency paths are encoded using a recurrent neural network, that achieves results comparable to distributional methods. We then extend the approach to integrate both path-based and distributional signals, significantly improving upon the state-of-the-art on this task.

Key facts. Cited by 27 papers in the map (data through 14 Oct 2026). First posted on arXiv 19 Mar 2016.

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Citing papers per year: 2021: 8; 2022: 3; 2023: 5; 2024: 6; 2025: 2; 2026: 3.

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  1. 2024Chain-of-Layer: Iteratively Prompting Large Language Models for Taxonomy Induction from Limited Examplescited by 24
  2. 2021Distilling Relation Embeddings from Pre-trained Language Modelscited by 15
  3. 2021SciCo: Hierarchical Cross-Document Coreference for Scientific Conceptscited by 14
  4. 2021HyperExpan: Taxonomy Expansion with Hyperbolic Representation Learningcited by 14
  5. 2021Enquire One's Parent and Child Before Decision: Fully Exploit Hierarchical Structure for Self-Supervised Taxonomy Expansioncited by 13
  6. 2024A Unified Taxonomy-Guided Instruction Tuning Framework for Entity Set Expansion and Taxonomy Expansioncited by 8
  7. 2023Construction Artifacts in Metaphor Identification Datasetscited by 5
  8. 2022Learning What You Need from What You Did: Product Taxonomy Expansion with User Behaviors Supervisioncited by 4
  9. 2021Extending Multi-Sense Word Embedding to Phrases and Sentences for Unsupervised Semantic Applicationscited by 3
  10. 2024Binder: Hierarchical Concept Representation through Order Embedding of Binary Vectorscited by 3
  11. 2024A Multidimensional Framework for Evaluating Lexical Semantic Change with Social Science Applicationscited by 3
  12. 2021More than just Frequency? Demasking Unsupervised Hypernymy Prediction Methodscited by 2
15 more
  1. 2022HyperBox: A Supervised Approach for Hypernym Discovery using Box Embeddingscited by 2
  2. 2025FUSE: Measure-Theoretic Compact Fuzzy Set Representation for Taxonomy Expansioncited by 2
  3. 2021ASPER: Attention-based Approach to Extract Syntactic Patterns denoting Semantic Relations in Sentential Contextcited by 1
  4. 2021Unit Ball Model for Embedding Hierarchical Structures in the Complex Hyperbolic Spacecited 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. 2024Antonym vs Synonym Distinction using InterlaCed Encoder NETworks (ICE-NET)cited by 1
  9. 2025GuessingGame: Measuring the Informativeness of Open-Ended Questions in Large Language Modelscited by 1
  10. 2022Taxonomy Enrichment with Text and Graph Vector Representationscited by 0
  11. 2023Towards Visual Taxonomy Expansioncited by 0
  12. 2023A Computational Analysis of Vagueness in Revisions of Instructional Textscited by 0
  13. 2026BoostTaxo: Zero-Shot Taxonomy Induction via Boosting-Style Agentic Reasoning and Constraint-Aware Calibrationcited by 0
  14. 2026Term-Centric Hierarchy Induction from Heterogeneous Corporacited by 0
  15. 2026Evaluating Semantic Relation Knowledge through Bidirectional Relation Prediction from Gloss Pairscited by 0