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SOTA
Relation Extraction
Relation Extraction On Docred
Relation Extraction On Docred
Metrics
F1
Ign F1
Results
Performance results of various models on this benchmark
Columns
Model Name
F1
Ign F1
Paper Title
DREEAM
67.53
65.47
DREEAM: Guiding Attention with Evidence for Improving Document-Level Relation Extraction
KD-Rb-l
67.28
65.24
Document-Level Relation Extraction with Adaptive Focal Loss and Knowledge Distillation
SSAN-RoBERTa-large+Adaptation
65.92
63.78
Entity Structure Within and Throughout: Modeling Mention Dependencies for Document-Level Relation Extraction
SAIS-RoBERTa-large
65.11
63.44
SAIS: Supervising and Augmenting Intermediate Steps for Document-Level Relation Extraction
Eider-RoBERTa-large
64.79
62.85
Eider: Empowering Document-level Relation Extraction with Efficient Evidence Extraction and Inference-stage Fusion
DocuNet-RoBERTa-large
64.55
62.4
Document-level Relation Extraction as Semantic Segmentation
CGM2IR-RoBERTalarge
63.89
61.96
Document-level Relation Extraction with Context Guided Mention Integration and Inter-pair Reasoning
SETE-Roberta-large
63.74
61.78
Document-Level Relation Extraction with Structure Enhanced Transformer Encoder
ATLOP-RoBERTa-large
63.40
61.39
Document-Level Relation Extraction with Adaptive Thresholding and Localized Context Pooling
DRE-MIR-BERTbase
63.15
61.03
A Masked Image Reconstruction Network for Document-level Relation Extraction
SAIS-BERT-base
62.77
60.96
SAIS: Supervising and Augmenting Intermediate Steps for Document-Level Relation Extraction
GAIN-BERT-large
62.76
60.31
Double Graph Based Reasoning for Document-level Relation Extraction
Dense-CCNet-BERTbase
62.55
60.46
A Densely Connected Criss-Cross Attention Network for Document-level Relation Extraction
E2GRE-RoBERTa-large
62.50
60.30
Entity and Evidence Guided Relation Extraction for DocRED
Eider-BERT-base
62.47
60.42
Eider: Empowering Document-level Relation Extraction with Efficient Evidence Extraction and Inference-stage Fusion
SagDRE
62.32
60.11
SagDRE: Sequence-Aware Graph-Based Document-Level Relation Extraction with Adaptive Margin Loss
GAIN+SIEF
62.29
59.87
Document-Level Relation Extraction with Sentences Importance Estimation and Focusing
CGM2IR-BERTbase
62.06
60.24
Document-level Relation Extraction with Context Guided Mention Integration and Inter-pair Reasoning
SIRE-BERT-base
62.05
60.18
SIRE: Separate Intra- and Inter-sentential Reasoning for Document-level Relation Extraction
MRN+BERT
61.74
59.52
-
0 of 62 row(s) selected.
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Toggle Sidebar
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⌘
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Command Palette
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Console
Home
SOTA
Relation Extraction
Relation Extraction On Docred
Relation Extraction On Docred
Metrics
F1
Ign F1
Results
Performance results of various models on this benchmark
Columns
Model Name
F1
Ign F1
Paper Title
DREEAM
67.53
65.47
DREEAM: Guiding Attention with Evidence for Improving Document-Level Relation Extraction
KD-Rb-l
67.28
65.24
Document-Level Relation Extraction with Adaptive Focal Loss and Knowledge Distillation
SSAN-RoBERTa-large+Adaptation
65.92
63.78
Entity Structure Within and Throughout: Modeling Mention Dependencies for Document-Level Relation Extraction
SAIS-RoBERTa-large
65.11
63.44
SAIS: Supervising and Augmenting Intermediate Steps for Document-Level Relation Extraction
Eider-RoBERTa-large
64.79
62.85
Eider: Empowering Document-level Relation Extraction with Efficient Evidence Extraction and Inference-stage Fusion
DocuNet-RoBERTa-large
64.55
62.4
Document-level Relation Extraction as Semantic Segmentation
CGM2IR-RoBERTalarge
63.89
61.96
Document-level Relation Extraction with Context Guided Mention Integration and Inter-pair Reasoning
SETE-Roberta-large
63.74
61.78
Document-Level Relation Extraction with Structure Enhanced Transformer Encoder
ATLOP-RoBERTa-large
63.40
61.39
Document-Level Relation Extraction with Adaptive Thresholding and Localized Context Pooling
DRE-MIR-BERTbase
63.15
61.03
A Masked Image Reconstruction Network for Document-level Relation Extraction
SAIS-BERT-base
62.77
60.96
SAIS: Supervising and Augmenting Intermediate Steps for Document-Level Relation Extraction
GAIN-BERT-large
62.76
60.31
Double Graph Based Reasoning for Document-level Relation Extraction
Dense-CCNet-BERTbase
62.55
60.46
A Densely Connected Criss-Cross Attention Network for Document-level Relation Extraction
E2GRE-RoBERTa-large
62.50
60.30
Entity and Evidence Guided Relation Extraction for DocRED
Eider-BERT-base
62.47
60.42
Eider: Empowering Document-level Relation Extraction with Efficient Evidence Extraction and Inference-stage Fusion
SagDRE
62.32
60.11
SagDRE: Sequence-Aware Graph-Based Document-Level Relation Extraction with Adaptive Margin Loss
GAIN+SIEF
62.29
59.87
Document-Level Relation Extraction with Sentences Importance Estimation and Focusing
CGM2IR-BERTbase
62.06
60.24
Document-level Relation Extraction with Context Guided Mention Integration and Inter-pair Reasoning
SIRE-BERT-base
62.05
60.18
SIRE: Separate Intra- and Inter-sentential Reasoning for Document-level Relation Extraction
MRN+BERT
61.74
59.52
-
0 of 62 row(s) selected.
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Relation Extraction On Docred | SOTA | HyperAI