Knowledge-Enriched Transformer for Emotion Detection in Textual Conversations

IJCNLP 2019 Peixiang ZhongDi WangChunyan Miao

Messages in human conversations inherently convey emotions. The task of detecting emotions in textual conversations leads to a wide range of applications such as opinion mining in social networks... (read more)

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Results from the Paper


TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT LEADERBOARD
Emotion Recognition in Conversation DailyDialog KET F1 53.37 # 1
Emotion Recognition in Conversation EC KET Micro-F1 0.7413 # 6
Emotion Recognition in Conversation EmoryNLP KET F1 34.39 # 1
Emotion Recognition in Conversation IEMOCAP KET F1 59.56 # 3
Emotion Recognition in Conversation MELD KET F1 58.18 # 1