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Joint Entity And Relation Extraction On 3

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Relation F1

評価結果

このベンチマークにおける各モデルのパフォーマンス結果

Paper Title
REBEL+pretraining47.1REBEL: Relation Extraction By End-to-end Language generation
REBEL41.8REBEL: Relation Extraction By End-to-end Language generation
Joint-M+GC40.62Modeling Task Interactions in Document-Level Joint Entity and Relation Extraction
JEREX40.38An End-to-end Model for Entity-level Relation Extraction using Multi-instance Learning
REXEL39.06REXEL: An End-to-end Model for Document-Level Relation Extraction and Entity Linking
seq2rel38.2A sequence-to-sequence approach for document-level relation extraction
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Joint Entity And Relation Extraction On 3 | SOTA | HyperAI超神経