Emotion Recognition In Conversation On

평가 지표

Accuracy

Weighted-F1

평가 결과

이 벤치마크에서 각 모델의 성능 결과

모델 이름	Accuracy	Weighted-F1	Paper Title	Repository
FATRER	69.69	69.35	FATRER: Full-Attention Topic Regularizer for Accurate and Robust Conversational Emotion Recognition
SpeechCueLLM	-	72.596	Beyond Silent Letters: Amplifying LLMs in Emotion Recognition with Vocal Nuances
GA2MIF	69.75	70.00	GA2MIF: Graph and Attention Based Two-Stage Multi-Source Information Fusion for Conversational Emotion Detection
M2FNet	69.69	69.86	M2FNet: Multi-modal Fusion Network for Emotion Recognition in Conversation	-
DialogXL	66.3	66.2	DialogXL: All-in-One XLNet for Multi-Party Conversation Emotion Recognition
KI-Net	-	67.00	Knowledge-Interactive Network with Sentiment Polarity Intensity-Aware Multi-Task Learning for Emotion Recognition in Conversations	-
AccumWR	-	67.65	Accumulating Word Representations in Multi-level Context Integration for ERC Task
EACL	-	70.41	Emotion-Anchored Contrastive Learning Framework for Emotion Recognition in Conversation
Pretrained Hierarchical Transformer	66.05	65.37	Hierarchical Pre-training for Sequence Labelling in Spoken Dialog	-
SKAIG-ERC	-	66.98	Past, Present, and Future: Conversational Emotion Recognition through Structural Modeling of Psychological Knowledge	-
DF-ERC	71.84	71.75	Revisiting Disentanglement and Fusion on Modality and Context in Conversational Multimodal Emotion Recognition	-
S+PAGE	-	68.72	S+PAGE: A Speaker and Position-Aware Graph Neural Network Model for Emotion Recognition in Conversation	-
BiERU-lc	-	65.22	BiERU: Bidirectional Emotional Recurrent Unit for Conversational Sentiment Analysis
DialogueGCN	-	64.37	DialogueGCN: A Graph Convolutional Neural Network for Emotion Recognition in Conversation
SACL-LSTM (one seed)	69.62	69.70	Supervised Adversarial Contrastive Learning for Emotion Recognition in Conversations
GraphCFC	69.13	68.91	GraphCFC: A Directed Graph Based Cross-Modal Feature Complementation Approach for Multimodal Conversational Emotion Recognition
CKERC	-	72.40	CKERC : Joint Large Language Models with Commonsense Knowledge for Emotion Recognition in Conversation	-
VHRED	-	59.56	Conversational Transfer Learning for Emotion Recognition
SumAggGIN	-	66.96	Summarize before Aggregate: A Global-to-local Heterogeneous Graph Inference Network for Conversational Emotion Recognition	-
Attention-BLSTM	65.9	62.9	Integrating Recurrence Dynamics for Speech Emotion Recognition

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