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الرئيسية
SOTA
Relation Extraction
Relation Extraction On Ace 2005
Relation Extraction On Ace 2005
المقاييس
Cross Sentence
Relation classification F1
النتائج
نتائج أداء النماذج المختلفة على هذا المعيار القياسي
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اسم النموذج
Cross Sentence
Relation classification F1
Paper Title
Repository
Dual Pointer Network(multi-head)
No
80.8
Dual Pointer Network for Fast Extraction of Multiple Relations in a Sentence
-
Multi-turn QA
No
-
Entity-Relation Extraction as Multi-Turn Question Answering
RNN+CNN
No
67.7
Combining Neural Networks and Log-linear Models to Improve Relation Extraction
-
SPTree
No
-
End-to-End Relation Extraction using LSTMs on Sequences and Tree Structures
TablERT
No
-
Named Entity Recognition and Relation Extraction using Enhanced Table Filling by Contextualized Representations
MRC4ERE++
No
-
Asking Effective and Diverse Questions: A Machine Reading Comprehension based Framework for Joint Entity-Relation Extraction
MGE
No
-
A Multi-Gate Encoder for Joint Entity and Relation Extraction
-
HySPA
No
-
HySPA: Hybrid Span Generation for Scalable Text-to-Graph Extraction
ASP+T5-3B
Yes
-
Autoregressive Structured Prediction with Language Models
Walk-based model
No
64.2
A Walk-based Model on Entity Graphs for Relation Extraction
DYGIE++
Yes
-
Entity, Relation, and Event Extraction with Contextualized Span Representations
Table-Sequence
No
-
Two are Better than One: Joint Entity and Relation Extraction with Table-Sequence Encoders
PL-Marker
Yes
-
Packed Levitated Marker for Entity and Relation Extraction
CNN
No
61.3
-
-
Dual Pointer Network
No
80.5
Relation Extraction among Multiple Entities Using a Dual Pointer Network with a Multi-Head Attention Mechanism
-
GoLLIE
-
-
GoLLIE: Annotation Guidelines improve Zero-Shot Information-Extraction
MRT
No
-
Extracting Entities and Relations with Joint Minimum Risk Training
-
Joint w/ Global
No
-
-
-
Span-level
No
-
Span-Level Model for Relation Extraction
-
Hierarchical Multi-task
No
-
A Hierarchical Multi-task Approach for Learning Embeddings from Semantic Tasks
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