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SOTA
関係抽出
Relation Extraction On Webnlg
Relation Extraction On Webnlg
評価指標
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
Columns
モデル名
F1
Paper Title
UniRel
94.7
UniRel: Unified Representation and Interaction for Joint Relational Triple Extraction
PFN
93.6
A Partition Filter Network for Joint Entity and Relation Extraction
SPN
93.4
Joint Entity and Relation Extraction with Set Prediction Networks
TDEER
93.1
TDEER: An Efficient Translating Decoding Schema for Joint Extraction of Entities and Relations
RIFRE
92.6
Representation Iterative Fusion based on Heterogeneous Graph Neural Network for Joint Entity and Relation Extraction
TPLinker
91.9
TPLinker: Single-stage Joint Extraction of Entities and Relations Through Token Pair Linking
HBT (CasRel)
91.8
A Novel Cascade Binary Tagging Framework for Relational Triple Extraction
RIN (BERT, K=2)
90.1
Recurrent Interaction Network for Jointly Extracting Entities and Classifying Relations
CGT(UniLM)
83.4
Contrastive Triple Extraction with Generative Transformer
ETL-Span
83.1
Joint Extraction of Entities and Relations Based on a Novel Decomposition Strategy
RSAN
82.1
A Relation-Specific Attention Network for Joint Entity and Relation Extraction
CopyRE' OneDecoder
60.5
CopyMTL: Copy Mechanism for Joint Extraction of Entities and Relations with Multi-Task Learning
CopyRE MultiDecoder
37.1
Extracting Relational Facts by an End-to-End Neural Model with Copy Mechanism
NovelTagging
28.3
Joint Extraction of Entities and Relations Based on a Novel Tagging Scheme
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Relation Extraction On Webnlg | SOTA | HyperAI超神経