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SOTA
Emotionserkennung im Gespräch
Emotion Recognition In Conversation On 4
Emotion Recognition In Conversation On 4
Metriken
Weighted-F1
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Columns
Modellname
Weighted-F1
Paper Title
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
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Emotion Recognition In Conversation On 4 | SOTA | HyperAI