HyperAIHyperAI

Dialog Relation Extraction On Dialogre

Métriques

F1 (v1)
F1c (v1)

Résultats

Résultats de performance de divers modèles sur ce benchmark

Nom du modèle
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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