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Emotion Recognition In Conversation On Ec

Metrics

Micro-F1

Results

Performance results of various models on this benchmark

Model Name
Micro-F1
Paper TitleRepository
Oversampling0.758SNU IDS at SemEval-2019 Task 3: Addressing Training-Test Class Distribution Mismatch in Conversational Classification
HRLCE + BERT0.7709ANA at SemEval-2019 Task 3: Contextual Emotion detection in Conversations through hierarchical LSTMs and BERT
OUT2 + IN3 + USE + BERT0.7731SymantoResearch at SemEval-2019 Task 3: Combined Neural Models for Emotion Classification in Human-Chatbot Conversations-
GRU + SVM0.6993Neural Feature Extraction for Contextual Emotion Detection-
DialogueRNN0.758Emotion Recognition in Conversation: Research Challenges, Datasets, and Recent Advances
NELEC0.7765NELEC at SemEval-2019 Task 3: Think Twice Before Going Deep
ConSSED0.7664ConSSED at SemEval-2019 Task 3: Configurable Semantic and Sentiment Emotion Detector-
Attention-based Modeling0.7582Attention-based Modeling for Emotion Detection and Classification in Textual Conversations-
KET0.7413Knowledge-Enriched Transformer for Emotion Detection in Textual Conversations
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