Emotion Recognition In Conversation On 3

Macro F1

Micro-F1

평가 결과

이 벤치마크에서 각 모델의 성능 결과

비교 표

모델 이름	Macro F1	Micro-F1
past-present-and-future-conversational	51.95	59.75
contrast-and-generation-make-bart-a-good	-	54.71
directed-acyclic-graph-network-for	-	59.33
context-dependent-embedding-utterance	51.23	-
cosmic-commonsense-knowledge-for-emotion	51.05	58.48
compm-context-modeling-with-speaker-s-pre	53.15	60.34
graph-based-network-with-contextualized	-	61.91
knowledge-enriched-transformer-for-emotion	-	53.37
topic-driven-and-knowledge-aware-transformer	-	58.47
relation-aware-graph-attention-networks-with	-	54.31
knowledge-interactive-network-with-sentiment	-	57.30
hierarchical-pre-training-for-sequence	-	60.14
emotionic-emotional-inertia-and-contagion	54.19	60.13
emotion-recognition-in-conversations-with	-	48.4
dialogxl-all-in-one-xlnet-for-multi-party	-	54.93
contextualized-emotion-recognition-in	-	63.12
graph-based-network-with-contextualized	-	58.34
s-page-a-speaker-and-position-aware-graph	-	64.07
the-emotion-is-not-one-hot-encoding-learning	55.84	61.67
accumulating-word-representations-in-multi	-	59.22
hybrid-curriculum-learning-for-emotion	-	59.76
fuzzy-fingerprinting-transformer-language	51.89	-