ICON: Interactive Conversational Memory Network for Multimodal Emotion Detection

EMNLP 2018 Devamanyu HazarikaSoujanya PoriaRada MihalceaErik CambriaRoger Zimmermann

Emotion recognition in conversations is crucial for building empathetic machines. Present works in this domain do not explicitly consider the inter-personal influences that thrive in the emotional dynamics of dialogues... (read more)

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TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK BENCHMARK
Emotion Recognition in Conversation IEMOCAP ICON F1 58.54 # 7
Emotion Recognition in Conversation SEMAINE ICON MAE (Valence) 0.181 # 3
MAE (Arousal) 0.19 # 3
MAE (Expectancy) 0.185 # 3
MAE (Power) 8.45 # 3

Methods used in the Paper