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Emotion Recognition In Conversation On 4

Metrics

Weighted-F1

Results

Performance results of various models on this benchmark

Paper TitleRepository
CKERC42.08LaERC-S: Improving LLM-based Emotion Recognition in Conversation with Speaker Characteristics-
BiosERC41.68BiosERC: Integrating Biography Speakers Supported by LLMs for ERC Tasks
InstructERC41.39InstructERC: Reforming Emotion Recognition in Conversation with Multi-task Retrieval-Augmented Large Language Models
SPCL-CL-ERC40.94Supervised Prototypical Contrastive Learning for Emotion Recognition in Conversation
SACL-LSTM (one seed)40.47Supervised Adversarial Contrastive Learning for Emotion Recognition in Conversations
EmotionIC40.25EmotionIC: emotional inertia and contagion-driven dependency modeling for emotion recognition in conversation
EACL40.24Emotion-Anchored Contrastive Learning Framework for Emotion Recognition in Conversation
GRASP_Large40GRASP: Guiding model with RelAtional Semantics using Prompt for Dialogue Relation Extraction
SACL-LSTM39.65Supervised Adversarial Contrastive Learning for Emotion Recognition in Conversations
AccumWR39.33Accumulating Word Representations in Multi-level Context Integration for ERC Task-
TUCORE-GCN_RoBERTa39.24Graph Based Network with Contextualized Representations of Turns in Dialogue
S+PAGE39.14S+PAGE: A Speaker and Position-Aware Graph Neural Network Model for Emotion Recognition in Conversation-
CoG-BART39.04Contrast and Generation Make BART a Good Dialogue Emotion Recognizer
DAG-ERC39.02Directed Acyclic Graph Network for Conversational Emotion Recognition
SKAIG-ERC38.88Past, Present, and Future: Conversational Emotion Recognition through Structural Modeling of Psychological Knowledge-
DialogueCRN+RoBERTa38.79DialogueCRN: Contextual Reasoning Networks for Emotion Recognition in Conversations
TODKAT38.69Topic-Driven and Knowledge-Aware Transformer for Dialogue Emotion Detection-
COSMIC38.11COSMIC: COmmonSense knowledge for eMotion Identification in Conversations
EmoOne-RoBERTa38The Emotion is Not One-hot Encoding: Learning with Grayscale Label for Emotion Recognition in Conversation
CoMPM37.37CoMPM: Context Modeling with Speaker's Pre-trained Memory Tracking for Emotion Recognition in Conversation
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Emotion Recognition In Conversation On 4 | SOTA | HyperAI