Emotion Recognition In Conversation On 4

评估指标

Weighted-F1

评测结果

各个模型在此基准测试上的表现结果

		Paper Title	Repository
CKERC	42.08	LaERC-S: Improving LLM-based Emotion Recognition in Conversation with Speaker Characteristics	-
BiosERC	41.68	BiosERC: Integrating Biography Speakers Supported by LLMs for ERC Tasks
InstructERC	41.39	InstructERC: Reforming Emotion Recognition in Conversation with Multi-task Retrieval-Augmented Large Language Models
SPCL-CL-ERC	40.94	Supervised Prototypical Contrastive Learning for Emotion Recognition in Conversation
SACL-LSTM (one seed)	40.47	Supervised Adversarial Contrastive Learning for Emotion Recognition in Conversations
EmotionIC	40.25	EmotionIC: emotional inertia and contagion-driven dependency modeling for emotion recognition in conversation
EACL	40.24	Emotion-Anchored Contrastive Learning Framework for Emotion Recognition in Conversation
GRASP_Large	40	GRASP: Guiding model with RelAtional Semantics using Prompt for Dialogue Relation Extraction
SACL-LSTM	39.65	Supervised Adversarial Contrastive Learning for Emotion Recognition in Conversations
AccumWR	39.33	Accumulating Word Representations in Multi-level Context Integration for ERC Task	-
TUCORE-GCN_RoBERTa	39.24	Graph Based Network with Contextualized Representations of Turns in Dialogue
S+PAGE	39.14	S+PAGE: A Speaker and Position-Aware Graph Neural Network Model for Emotion Recognition in Conversation	-
CoG-BART	39.04	Contrast and Generation Make BART a Good Dialogue Emotion Recognizer
DAG-ERC	39.02	Directed Acyclic Graph Network for Conversational Emotion Recognition
SKAIG-ERC	38.88	Past, Present, and Future: Conversational Emotion Recognition through Structural Modeling of Psychological Knowledge	-
DialogueCRN+RoBERTa	38.79	DialogueCRN: Contextual Reasoning Networks for Emotion Recognition in Conversations
TODKAT	38.69	Topic-Driven and Knowledge-Aware Transformer for Dialogue Emotion Detection	-
COSMIC	38.11	COSMIC: COmmonSense knowledge for eMotion Identification in Conversations
EmoOne-RoBERTa	38	The Emotion is Not One-hot Encoding: Learning with Grayscale Label for Emotion Recognition in Conversation
CoMPM	37.37	CoMPM: Context Modeling with Speaker's Pre-trained Memory Tracking for Emotion Recognition in Conversation

0 of 28 row(s) selected.