Emotion Recognition In Conversation On Meld

Metrics

Accuracy

Weighted-F1

Results

Performance results of various models on this benchmark

Model Name	Accuracy	Weighted-F1	Paper Title	Repository
CFN-ESA	67.85	66.70	CFN-ESA: A Cross-Modal Fusion Network with Emotion-Shift Awareness for Dialogue Emotion Recognition
HiDialog	-	66.96	Hierarchical Dialogue Understanding with Special Tokens and Turn-level Attention	-
EmoCaps	-	64.00	EmoCaps: Emotion Capsule based Model for Conversational Emotion Recognition	-
ELR-GNN	68.7	69.9	Efficient Long-distance Latent Relation-aware Graph Neural Network for Multi-modal Emotion Recognition in Conversations	-
GloVE+MTL	-	60.69	Multi-Task Learning with Auxiliary Speaker Identification for Conversational Emotion Recognition	-
ERMC-DisGCN	-	64.22	A Discourse-Aware Graph Neural Network for Emotion Recognition in Multi-Party Conversation	-
EmoOne-RoBERTa	-	66.49	The Emotion is Not One-hot Encoding: Learning with Grayscale Label for Emotion Recognition in Conversation
DialogueRNN	59.54	57.03	DialogueRNN: An Attentive RNN for Emotion Detection in Conversations
M2FNet-Text	67.24	66.23	M2FNet: Multi-modal Fusion Network for Emotion Recognition in Conversation	-
SDT	67.55	66.60	A Transformer-Based Model With Self-Distillation for Multimodal Emotion Recognition in Conversations
EmotionIC	-	66.32	EmotionIC: emotional inertia and contagion-driven dependency modeling for emotion recognition in conversation
Pretrained Hierarchical Transformer	-	61.90	Hierarchical Pre-training for Sequence Labelling in Spoken Dialog	-
DialogXL	-	62.41	DialogXL: All-in-One XLNet for Multi-Party Conversation Emotion Recognition
Static-Dynamic Modeling	-	65.90	Static and Dynamic Speaker Modeling based on Graph Neural Network for Emotion Recognition in Conversation	-
BERT+MTL	-	61.90	Multi-Task Learning with Auxiliary Speaker Identification for Conversational Emotion Recognition	-
SPCL-CL-ERC	-	67.25	Supervised Prototypical Contrastive Learning for Emotion Recognition in Conversation
AccumWR	-	64.58	Accumulating Word Representations in Multi-level Context Integration for ERC Task
TUCORE-GCN_RoBERTa	-	65.36	Graph Based Network with Contextualized Representations of Turns in Dialogue
DialogueGCN	59.46	58.10	DialogueGCN: A Graph Convolutional Neural Network for Emotion Recognition in Conversation
Audio + Text (Stage III)	-	65.8	HCAM -- Hierarchical Cross Attention Model for Multi-modal Emotion Recognition	-

0 of 67 row(s) selected.