MuTE-CCEE

Reported on 3 benchmarks across 1 task · 1 paper

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Natural Language Processing3 results

Recognizing Emotion Cause in ConversationsonRECCON
Macro F1· 2022-11-07
77.55
best: 81.25 (KEC)
Multi-Task Learning Framework for Extracting Emotion Cause Span and Entailment in Conversations arXiv:2211.03742
Recognizing Emotion Cause in ConversationsonRECCON
Neg. F1· 2022-11-07
85.9
best: 97.69 (Window transformer)
Multi-Task Learning Framework for Extracting Emotion Cause Span and Entailment in Conversations arXiv:2211.03742
Recognizing Emotion Cause in ConversationsonRECCON
Pos. F1· 2022-11-07
69.2
best: 71.18 (MPEG)
Multi-Task Learning Framework for Extracting Emotion Cause Span and Entailment in Conversations arXiv:2211.03742