Improving Multi-label Emotion Classification by Integrating both General and Domain-specific Knowledge

Benchmark Model Rank Results
emotion-classification-on-semeval-2018-task-1e-cBERT+DK–Accuracy: 0.591Micro-F1: 0.713Macro-F1: 0.549