13 citations · 24 across the 4 of their papers we have counts for
4 papers · 1 filter
Exploiting Unsupervised Data for Emotion Recognition in Conversations
Wenxiang Jiao, Michael R. Lyu, Irwin King
Emotion Recognition in Conversations (ERC) aims to predict the emotional state of speakers in conversations, which is essentially a text classification task. Unlike the sentence-le…
Real-Time Emotion Recognition via Attention Gated Hierarchical Memory Network
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 critic…
Improving Word Representations: A Sub-sampled Unigram Distribution for Negative Sampling
Wenxiang Jiao, Irwin King, Michael R. Lyu
Word2Vec is the most popular model for word representation and has been widely investigated in literature. However, its noise distribution for negative sampling is decided by empir…
PT-CoDE: Pre-trained Context-Dependent Encoder for Utterance-level Emotion Recognition
Wenxiang Jiao, Michael R. Lyu, Irwin King
Utterance-level emotion recognition (ULER) is a significant research topic for understanding human behaviors and developing empathetic chatting machines in the artificial intellige…