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Emotion Recognition In Conversation On 3

Metrics

Macro F1
Micro-F1

Results

Performance results of various models on this benchmark

Paper Title
S+PAGE-64.07S+PAGE: A Speaker and Position-Aware Graph Neural Network Model for Emotion Recognition in Conversation
CESTa-63.12Contextualized Emotion Recognition in Conversation as Sequence Tagging
TUCORE-GCN_RoBERTa-61.91Graph Based Network with Contextualized Representations of Turns in Dialogue
EmoOne-RoBERTa55.8461.67The Emotion is Not One-hot Encoding: Learning with Grayscale Label for Emotion Recognition in Conversation
CoMPM53.1560.34CoMPM: Context Modeling with Speaker's Pre-trained Memory Tracking for Emotion Recognition in Conversation
Pretrained Hierarchical Transformer-60.14Hierarchical Pre-training for Sequence Labelling in Spoken Dialog
EmotionIC54.1960.13EmotionIC: emotional inertia and contagion-driven dependency modeling for emotion recognition in conversation
TODKAT+HCL-59.76Hybrid Curriculum Learning for Emotion Recognition in Conversation
SKAIG-ERC51.9559.75Past, Present, and Future: Conversational Emotion Recognition through Structural Modeling of Psychological Knowledge
DAG-ERC-59.33Directed Acyclic Graph Network for Conversational Emotion Recognition
AccumWR-59.22Accumulating Word Representations in Multi-level Context Integration for ERC Task
COSMIC51.0558.48COSMIC: COmmonSense knowledge for eMotion Identification in Conversations
TODKAT-58.47Topic-Driven and Knowledge-Aware Transformer for Dialogue Emotion Detection
TUCORE-GCN_BERT-58.34Graph Based Network with Contextualized Representations of Turns in Dialogue
KI-Net-57.30Knowledge-Interactive Network with Sentiment Polarity Intensity-Aware Multi-Task Learning for Emotion Recognition in Conversations
DialogXL-54.93DialogXL: All-in-One XLNet for Multi-Party Conversation Emotion Recognition
CoG-BART-54.71Contrast and Generation Make BART a Good Dialogue Emotion Recognizer
RGAT-ERC-54.31Relation-aware Graph Attention Networks with Relational Position Encodings for Emotion Recognition in Conversations
KET-53.37Knowledge-Enriched Transformer for Emotion Detection in Textual Conversations
VHRED-48.4Conversational Transfer Learning for Emotion Recognition
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Emotion Recognition In Conversation On 3 | SOTA | HyperAI