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 110 of 33 papers

TitleStatusHype
OntoTune: Ontology-Driven Self-training for Aligning Large Language ModelsCode1
TaxoLLaMA: WordNet-based Model for Solving Multiple Lexical Semantic TasksCode1
Probing Pretrained Language Models with Hierarchy Properties0
Modelling Commonsense Properties using Pre-Trained Bi-EncodersCode0
HyperBox: A Supervised Approach for Hypernym Discovery using Box Embeddings0
CogALex 2.0: Impact of Data Quality on Lexical-Semantic Relation PredictionCode0
Analyzing BERT’s Knowledge of Hypernymy via Prompting0
Hypernym Discovery via a Recurrent Mapping Model0
Document Structure aware Relational Graph Convolutional Networks for Ontology Population0
CogALex-VI Shared Task: Transrelation - A Robust Multilingual Language Model for Multilingual Relation IdentificationCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CRIMMAP40.97Unverified
2MFHMAP33.32Unverified
3300-sparsansMAP29.54Unverified
4vTEMAP12.99Unverified
5SJTU BCMIMAP4.71Unverified
6ADAPTMAP2.63Unverified
7balAPIncMAP1.95Unverified