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Dialog Relation Extraction On Dialogre

Metrics

F1 (v1)
F1c (v1)

Results

Performance results of various models on this benchmark

Model Name
F1 (v1)
F1c (v1)
Paper TitleRepository
BERTS61.255.4Dialogue-Based Relation Extraction-
BERT+SIEF61.858.4Document-Level Relation Extraction with Sentences Importance Estimation and Focusing-
Dual67.361.4Semantic Representation for Dialogue Modeling-
HiDialog--Hierarchical Dialogue Understanding with Special Tokens and Turn-level Attention-
GRASP_Large75.166.7GRASP: Guiding model with RelAtional Semantics using Prompt for Dialogue Relation Extraction-
TUCORE-GCN_RoBERTa--Graph Based Network with Contextualized Representations of Turns in Dialogue-
GRASP_Base69.262.4GRASP: Guiding model with RelAtional Semantics using Prompt for Dialogue Relation Extraction-
SocAoG--SocAoG: Incremental Graph Parsing for Social Relation Inference in Dialogues-
SimpleRE66.3-An Embarrassingly Simple Model for Dialogue Relation Extraction-
GDPNet64.960.1GDPNet: Refining Latent Multi-View Graph for Relation Extraction-
Joint_RoBERTa--D-REX: Dialogue Relation Extraction with Explanations-
BiLSTM48.645Dialogue-Based Relation Extraction-
DHGAT56.150.7Dialogue Relation Extraction with Document-level Heterogeneous Graph Attention Networks-
KnowPrompt66.0-KnowPrompt: Knowledge-aware Prompt-tuning with Synergistic Optimization for Relation Extraction-
DiaRE-D2G--Global inference with explicit syntactic and discourse structures for dialogue-level relation extraction
D-REX_RoBERTa--D-REX: Dialogue Relation Extraction with Explanations-
TUCORE-GCN_BERT--Graph Based Network with Contextualized Representations of Turns in Dialogue-
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Dialog Relation Extraction On Dialogre | SOTA | HyperAI