TY  - JOUR
T1  - RNN model for Emotion Recognition in Dialogue by incorporating the Attention on the Other’s State
AU  - Lim, Seunguook 
AU  - Kim, Jihie 
JO  - Journal of KIISE, JOK
PY  - 2021
DA  - 2021/1/14
DO  - 10.5626/JOK.2021.48.7.802
KW  - emotion recognition
KW  - dialogue data
KW  - self-dependency
KW  - inter-speaker dependency
KW  - context information
AB  - Emotion recognition has increasingly received much attention in artificial intelligence, lately. In this paper, we present an RNN model that analyzes and identifies a speaker’s emotion appeared through utterances in conversation. There are two kinds of speaker considered context, self-dependency and inter-speaker dependency. In particular, we focus more on inter-speaker dependency by considering that the state context information of the relative speaker can affect the emotions of the current speaker. We propose a DialogueRNN based model that adds a new GRU Cell for catching inter-speaker dependency. Our model shows higher performance than the performances of DialogueRNN and its three variants on multiple emotion classification datasets.