Hypernym Discovery

Given a corpus and a target term (hyponym), the task of hypernym discovery consists of extracting a set of its most appropriate hypernyms from the corpus. For example, for the input word “dog”, some valid hypernyms would be “canine”, “mammal” or “animal”.

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 1–25 of 33 papers

Title	Date	Tasks	Status	Hype
Hyperbolic Entailment Cones for Learning Hierarchical Embeddings	Apr 3, 2018	Graph EmbeddingHypernym Discovery	CodeCode Available	1
TaxoLLaMA: WordNet-based Model for Solving Multiple Lexical Semantic Tasks	Mar 14, 2024	Domain AdaptationFew-Shot Learning	CodeCode Available	1
OntoTune: Ontology-Driven Self-training for Aligning Large Language Models	Feb 8, 2025	Hypernym DiscoveryIn-Context Learning	CodeCode Available	1
Apollo at SemEval-2018 Task 9: Detecting Hypernymy Relations Using Syntactic Dependencies	Jun 1, 2018	Hypernym Discovery	—Unverified	0
BabelDomains: Large-Scale Domain Labeling of Lexical Resources	Apr 1, 2017	ClusteringDomain Adaptation	—Unverified	0
Distributional Inclusion Vector Embedding for Unsupervised Hypernymy Detection	Oct 2, 2017	Hypernym DiscoveryQuestion Answering	—Unverified	0
Document Structure aware Relational Graph Convolutional Networks for Ontology Population	Apr 27, 2021	Hypernym DiscoveryQuestion Answering	—Unverified	0
Document Structure Measure for Hypernym discovery	Nov 30, 2018	Hypernym DiscoveryPosition	—Unverified	0
Exploiting Multiple Sources for Open-Domain Hypernym Discovery	Oct 1, 2013	Hypernym DiscoveryInformation Retrieval	—Unverified	0
EXPR at SemEval-2018 Task 9: A Combined Approach for Hypernym Discovery	Jun 1, 2018	Hypernym DiscoveryInformation Retrieval	—Unverified	0
300-sparsans at SemEval-2018 Task 9: Hypernymy as interaction of sparse attributes	Jun 1, 2018	Hypernym DiscoveryWord Embeddings	—Unverified	0
ADAPT at SemEval-2018 Task 9: Skip-Gram Word Embeddings for Unsupervised Hypernym Discovery in Specialised Corpora	Jun 1, 2018	Hypernym DiscoveryWord Embeddings	—Unverified	0
Analyzing BERT’s Knowledge of Hypernymy via Prompting	Nov 1, 2021	Hypernym Discovery	—Unverified	0
The Effectiveness of Simple Hybrid Systems for Hypernym Discovery	Jul 1, 2019	Hypernym Discovery	—Unverified	0
Towards Linked Hypernyms Dataset 2.0: complementing DBpedia with hypernym discovery	May 1, 2014	ArticlesHypernym Discovery	—Unverified	0
UMDuluth-CS8761 at SemEval-2018 Task 9: Hypernym Discovery using Hearst Patterns, Co-occurrence frequencies and Word Embeddings	May 25, 2018	Hypernym DiscoveryWord Embeddings	—Unverified	0
UMDuluth-CS8761 at SemEval-2018 Task9: Hypernym Discovery using Hearst Patterns, Co-occurrence frequencies and Word Embeddings	Jun 1, 2018	Hypernym DiscoveryWord Embeddings	—Unverified	0
Weakly Supervised Definition Extraction	Sep 1, 2015	Definition ExtractionHypernym Discovery	—Unverified	0
HyperBox: A Supervised Approach for Hypernym Discovery using Box Embeddings	Apr 5, 2022	Hypernym Discovery	—Unverified	0
Hypernym Discovery via a Recurrent Mapping Model	Aug 1, 2021	Hypernym Discoverymodel	—Unverified	0
Learning Scalar Adjective Intensity from Paraphrases	Oct 1, 2018	Hypernym DiscoveryQuestion Answering	—Unverified	0
Meemi: A Simple Method for Post-processing and Integrating Cross-lingual Word Embeddings	Oct 16, 2019	Cross-Lingual Natural Language InferenceCross-Lingual Word Embeddings	—Unverified	0
NLP\_HZ at SemEval-2018 Task 9: a Nearest Neighbor Approach	Jun 1, 2018	Hypernym DiscoveryInformation Retrieval	—Unverified	0
Probing Pretrained Language Models with Hierarchy Properties	Dec 15, 2023	Hypernym DiscoveryInformation Retrieval	—Unverified	0
SemEval-2018 Task 9: Hypernym Discovery	Jun 1, 2018	Binary ClassificationHypernym Discovery	—Unverified	0

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All datasets General Medical domain Music domain

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	CRIM	MAP	19.78	—	Unverified
2	vTE	MAP	10.6	—	Unverified
3	NLP_HZ	MAP	9.37	—	Unverified
4	300-sparsans	MAP	8.95	—	Unverified
5	MFH	MAP	8.77	—	Unverified
6	SJTU BCMI	MAP	5.77	—	Unverified
7	Apollo	MAP	2.68	—	Unverified
8	balAPInc	MAP	1.36	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	CRIM	MAP	34.05	—	Unverified
2	MFH	MAP	28.93	—	Unverified
3	300-sparsans	MAP	20.75	—	Unverified
4	vTE	MAP	18.84	—	Unverified
5	EXPR	MAP	13.77	—	Unverified
6	SJTU BCMI	MAP	11.69	—	Unverified
7	ADAPT	MAP	8.13	—	Unverified
8	balAPInc	MAP	0.91	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	CRIM	MAP	40.97	—	Unverified
2	MFH	MAP	33.32	—	Unverified
3	300-sparsans	MAP	29.54	—	Unverified
4	vTE	MAP	12.99	—	Unverified
5	SJTU BCMI	MAP	4.71	—	Unverified
6	ADAPT	MAP	2.63	—	Unverified
7	balAPInc	MAP	1.95	—	Unverified