SOTAVerified

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

Showing 26–33 of 33 papers

TitleStatusHype
Hyperbolic Entailment Cones for Learning Hierarchical EmbeddingsCode1
Distributional Inclusion Vector Embedding for Unsupervised Hypernymy Detection—0
BabelDomains: Large-Scale Domain Labeling of Lexical Resources—0
Hypernyms under Siege: Linguistically-motivated Artillery for Hypernymy DetectionCode0
Supervised Distributional Hypernym Discovery via Domain Adaptation—0
Weakly Supervised Definition Extraction—0
Towards Linked Hypernyms Dataset 2.0: complementing DBpedia with hypernym discovery—0
Exploiting Multiple Sources for Open-Domain Hypernym Discovery—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CRIMMAP19.78—Unverified
2vTEMAP10.6—Unverified
3NLP_HZMAP9.37—Unverified
4300-sparsansMAP8.95—Unverified
5MFHMAP8.77—Unverified
6SJTU BCMIMAP5.77—Unverified
7ApolloMAP2.68—Unverified
8balAPIncMAP1.36—Unverified
#ModelMetricClaimedVerifiedStatus
1CRIMMAP34.05—Unverified
2MFHMAP28.93—Unverified
3300-sparsansMAP20.75—Unverified
4vTEMAP18.84—Unverified
5EXPRMAP13.77—Unverified
6SJTU BCMIMAP11.69—Unverified
7ADAPTMAP8.13—Unverified
8balAPIncMAP0.91—Unverified
#ModelMetricClaimedVerifiedStatus
1CRIMMAP40.97—Unverified
2MFHMAP33.32—Unverified
3300-sparsansMAP29.54—Unverified
4vTEMAP12.99—Unverified
5SJTU BCMIMAP4.71—Unverified
6ADAPTMAP2.63—Unverified
7balAPIncMAP1.95—Unverified