HyperAIHyperAI

Command Palette

Search for a command to run...

Console

Emotion Recognition In Conversation On Ec

Metrics

Micro-F1

Results

Performance results of various models on this benchmark

Paper Title
NELEC0.7765NELEC at SemEval-2019 Task 3: Think Twice Before Going Deep
OUT2 + IN3 + USE + BERT0.7731SymantoResearch at SemEval-2019 Task 3: Combined Neural Models for Emotion Classification in Human-Chatbot Conversations
HRLCE + BERT0.7709ANA at SemEval-2019 Task 3: Contextual Emotion detection in Conversations through hierarchical LSTMs and BERT
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
Oversampling0.758SNU IDS at SemEval-2019 Task 3: Addressing Training-Test Class Distribution Mismatch in Conversational Classification
DialogueRNN0.758Emotion Recognition in Conversation: Research Challenges, Datasets, and Recent Advances
KET0.7413Knowledge-Enriched Transformer for Emotion Detection in Textual Conversations
GRU + SVM0.6993Neural Feature Extraction for Contextual Emotion Detection
0 of 9 row(s) selected.