Hypernym Discovery
3개 벤치마크 · 논문 33편 · 이 태스크의 논문 보기 →
Benchmarks
Most implemented
Hyperbolic Entailment Cones for Learning Hierarchical Embeddings
OntoTune: Ontology-Driven Self-training for Aligning Large Language Models
TaxoLLaMA: WordNet-based Model for Solving Multiple Lexical Semantic Tasks
Modelling Commonsense Properties using Pre-Trained Bi-Encoders
CogALex 2.0: Impact of Data Quality on Lexical-Semantic Relation Prediction
Papers
OntoTune: Ontology-Driven Self-training for Aligning Large Language Models
Existing domain-specific Large Language Models (LLMs) are typically developed by fine-tuning general-purposed LLMs with large-scale domain-specific corpora. However, training on large-scale corpora often fails to effecti…
Hypernym DiscoveryIn-Context LearningTaxoLLaMA: WordNet-based Model for Solving Multiple Lexical Semantic Tasks
In this paper, we explore the capabilities of LLMs in capturing lexical-semantic knowledge from WordNet on the example of the LLaMA-2-7b model and test it on multiple lexical semantic tasks. As the outcome of our experim…
Domain AdaptationFew-Shot LearningHypernym DiscoveryLexical Entailment+1Probing Pretrained Language Models with Hierarchy Properties
Since Pretrained Language Models (PLMs) are the cornerstone of the most recent Information Retrieval (IR) models, the way they encode semantic knowledge is particularly important. However, little attention has been given…
Hypernym DiscoveryInformation RetrievalReading ComprehensionRetrievalModelling Commonsense Properties using Pre-Trained Bi-Encoders
Grasping the commonsense properties of everyday concepts is an important prerequisite to language understanding. While contextualised language models are reportedly capable of predicting such commonsense properties with …
Hypernym DiscoveryHyperBox: A Supervised Approach for Hypernym Discovery using Box Embeddings
Hypernymy plays a fundamental role in many AI tasks like taxonomy learning, ontology learning, etc. This has motivated the development of many automatic identification methods for extracting this relation, most of which …
Hypernym DiscoveryCogALex 2.0: Impact of Data Quality on Lexical-Semantic Relation Prediction
Predicting lexical-semantic relations between word pairs has successfully been accomplished by pre-trained neural language models. An XLM-RoBERTa-based approach, for instance, achieved the best performance differentiatin…
Hypernym DiscoveryRelationRelation ClassificationRelation Prediction