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الرئيسية
SOTA
Relation Extraction
Relation Extraction On Semeval 2010 Task 8
Relation Extraction On Semeval 2010 Task 8
المقاييس
F1
النتائج
نتائج أداء النماذج المختلفة على هذا المعيار القياسي
Columns
اسم النموذج
F1
Paper Title
Repository
SpanBERT
88.8
SPOT: Knowledge-Enhanced Language Representations for Information Extraction
-
KLG
90.5
Reviewing Labels: Label Graph Network with Top-k Prediction Set for Relation Extraction
-
CorefBERT
89.2
SPOT: Knowledge-Enhanced Language Representations for Information Extraction
-
BERTEM+MTB
89.5
Matching the Blanks: Distributional Similarity for Relation Learning
KnowPrompt
90.3
KnowPrompt: Knowledge-aware Prompt-tuning with Synergistic Optimization for Relation Extraction
KnowBert-W+W
89.1
Knowledge Enhanced Contextual Word Representations
RoBERTa
88.7
SPOT: Knowledge-Enhanced Language Representations for Information Extraction
-
TRE
87.1
Improving Relation Extraction by Pre-trained Language Representations
SPOT
90.6
SPOT: Knowledge-Enhanced Language Representations for Information Extraction
-
RE-DMP + XLNet
89.90
Improving Relation Extraction through Syntax-induced Pre-training with Dependency Masking
KnowBERT
89.1
SPOT: Knowledge-Enhanced Language Representations for Information Extraction
-
LUKE
90.3
SPOT: Knowledge-Enhanced Language Representations for Information Extraction
-
Bi-LSTM
82.7
-
-
A-GCN + BERT
89.85
Dependency-driven Relation Extraction with Attentive Graph Convolutional Networks
SP
91.9
Relation Classification as Two-way Span-Prediction
-
CR-CNN
84.1
Classifying Relations by Ranking with Convolutional Neural Networks
Attention CNN
84.3
Attention-Based Convolutional Neural Network for Semantic Relation Extraction
REDN
91
Downstream Model Design of Pre-trained Language Model for Relation Extraction Task
Attention Bi-LSTM
84.0
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Att-Pooling-CNN
88.0
-
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