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Relation Extraction On Nyt11 Hrl

Metrics

F1

Results

Performance results of various models on this benchmark

Paper Title
RERE56.23Revisiting the Negative Data of Distantly Supervised Relation Extraction
TPLinker55.67TPLinker: Single-stage Joint Extraction of Entities and Relations Through Token Pair Linking
ReRe (exact)55.47Revisiting the Negative Data of Distantly Supervised Relation Extraction
TPLinker55.28TPLinker: Single-stage Joint Extraction of Entities and Relations Through Token Pair Linking
CasRel53.9A Novel Cascade Binary Tagging Framework for Relational Triple Extraction
HRL53.8Revisiting the Negative Data of Distantly Supervised Relation Extraction
HRL53.8A Hierarchical Framework for Relation Extraction with Reinforcement Learning
SPTree53.1End-to-End Relation Extraction using LSTMs on Sequences and Tree Structures
CasRel (exact)51.25A Novel Cascade Binary Tagging Framework for Relational Triple Extraction
NovelTagging47.9Joint Extraction of Entities and Relations Based on a Novel Tagging Scheme
Cotype43CoType: Joint Extraction of Typed Entities and Relations with Knowledge Bases
CopyR42.1Extracting Relational Facts by an End-to-End Neural Model with Copy Mechanism
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