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Relation Extraction On Nyt

Métriques

F1

Résultats

Résultats de performance de divers modèles sur ce benchmark

Nom du modèle
F1
Paper TitleRepository
DIRECT92.5Adjacency List Oriented Relational Fact Extraction via Adaptive Multi-task Learning
SPN92.5Joint Entity and Relation Extraction with Set Prediction Networks
ReLiK-Base94.8ReLiK: Retrieve and LinK, Fast and Accurate Entity Linking and Relation Extraction on an Academic Budget
ReLiK-Large95ReLiK: Retrieve and LinK, Fast and Accurate Entity Linking and Relation Extraction on an Academic Budget
REBEL (no pre-training)93.1REBEL: Relation Extraction By End-to-end Language generation
ReLiK-Small94.4ReLiK: Retrieve and LinK, Fast and Accurate Entity Linking and Relation Extraction on an Academic Budget
TDEER92.5TDEER: An Efficient Translating Decoding Schema for Joint Extraction of Entities and Relations
UniRel93.7UniRel: Unified Representation and Interaction for Joint Relational Triple Extraction
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