Dialog Relation Extraction On Dialogre

Métriques

F1 (v1)

F1c (v1)

Résultats

Résultats de performance de divers modèles sur ce benchmark

			Paper Title
BERTS	61.2	55.4	Dialogue-Based Relation Extraction
BERT+SIEF	61.8	58.4	Document-Level Relation Extraction with Sentences Importance Estimation and Focusing
Dual	67.3	61.4	Semantic Representation for Dialogue Modeling
HiDialog	-	-	Hierarchical Dialogue Understanding with Special Tokens and Turn-level Attention
GRASP_Large	75.1	66.7	GRASP: 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_Base	69.2	62.4	GRASP: Guiding model with RelAtional Semantics using Prompt for Dialogue Relation Extraction
SocAoG	-	-	SocAoG: Incremental Graph Parsing for Social Relation Inference in Dialogues
SimpleRE	66.3	-	An Embarrassingly Simple Model for Dialogue Relation Extraction
GDPNet	64.9	60.1	GDPNet: Refining Latent Multi-View Graph for Relation Extraction
Joint_RoBERTa	-	-	D-REX: Dialogue Relation Extraction with Explanations
BiLSTM	48.6	45	Dialogue-Based Relation Extraction
DHGAT	56.1	50.7	Dialogue Relation Extraction with Document-level Heterogeneous Graph Attention Networks
KnowPrompt	66.0	-	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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