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Relation Extraction On Nyt

Metrics

F1

Results

Performance results of various models on this benchmark

Model Name
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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Relation Extraction On Nyt | SOTA | HyperAI