@article{M84E0A355,
title = "RNN model for Emotion Recognition in Dialogue by incorporating the Attention on the Other’s State",
journal = "Journal of KIISE, JOK",
year = "2021",
issn = "2383-630X",
doi = "10.5626/JOK.2021.48.7.802",
author = "Seunguook Lim,Jihie Kim",
keywords = "emotion recognition,dialogue data,self-dependency,inter-speaker dependency,context information",
abstract = "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."
}