Real-Time Emotion Recognition via Attention Gated Hierarchical Memory Network

20 Nov 2019 Wenxiang Jiao Michael R. Lyu Irwin King

Real-time emotion recognition (RTER) in conversations is significant for developing emotionally intelligent chatting machines. Without the future context in RTER, it becomes critical to build the memory bank carefully for capturing historical context and summarize the memories appropriately to retrieve relevant information... (read more)

PDF Abstract

Datasets


TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT BENCHMARK
Emotion Recognition in Conversation IEMOCAP BiF-AGRU F1 63.5 # 10
Accuracy 63.5 # 4

Methods used in the Paper


METHOD TYPE
BiGRU
Bidirectional Recurrent Neural Networks
Memory Network
Working Memory Models
GRU
Recurrent Neural Networks