PIRNet: Personality-Enhanced Iterative Refinement Network for Emotion Recognition in Conversation

doi:10.1109/TNNLS.2022.3192469

CORC > 自动化研究所 > 中国科学院自动化研究所 > 模式识别国家重点实验室 > 智能交互

	PIRNet: Personality-Enhanced Iterative Refinement Network for Emotion Recognition in Conversation
	Lian, Zheng 3; Liu, Bin 3; Tao, Jianhua 1,2,3
刊名	IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
	2022-07-25
页码	12
关键词	Emotion recognition Iterative methods Context modeling Psychology Oral communication Logic gates Learning systems Contextual information emotion recognition in conversation (ERC) iterative method Personality-enhanced Iterative Refinement Network (PIRNet) personality influence
ISSN号	2162-237X
DOI	10.1109/TNNLS.2022.3192469
通讯作者	Liu, Bin(liubin@nlpr.ia.ac.cn) ; Tao, Jianhua(jhtao@nlpr.ia.ac.cn)
英文摘要	Emotion recognition in conversation (ERC) is important for enhancing user experience in human-computer interaction. Unlike vanilla emotion recognition in individual utterances, ERC aims to classify constituent utterances in a dialog into corresponding emotion labels, which makes contextual information crucial. In addition to contextual information, personality traits also affect emotional perception based on psychological findings. Although researchers have proposed several approaches and achieved promising results on ERC, current works in this domain rarely incorporate contextual information and personality influence. To this end, we propose a novel framework to integrate these factors seamlessly, called "Personality-enhanced Iterative Refinement Network (PIRNet)." Specifically, PIRNet is a multistage iterative method. To capture personality influence, PIRNet leverages personality traits to mimic emotional transitions and generates personality-enhanced results. Then we exploit sequence models to capture contextual information in conversations. To verify the effectiveness of our proposed method, we conduct experiments on three benchmark datasets for ERC, that is, IEMOCAP, CMU-MOSI, and CMU-MOSEI. Experimental results demonstrate that our PIRNet succeeds over currently advanced approaches to emotion recognition.
资助项目	National Natural Science Foundation of China (NSFC)[61831022] ; National Natural Science Foundation of China (NSFC)[U21B2010] ; National Natural Science Foundation of China (NSFC)[61901473] ; National Natural Science Foundation of China (NSFC)[62101553] ; Open Research Projects of Zhejiang Laboratory[2021KH0AB06]
WOS关键词	SENTIMENT ANALYSIS ; FUSION
WOS研究方向	Computer Science ; Engineering
语种	英语
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
WOS记录号	WOS:000833062800001
资助机构	National Natural Science Foundation of China (NSFC) ; Open Research Projects of Zhejiang Laboratory
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/49764]
专题	模式识别国家重点实验室_智能交互
通讯作者	Liu, Bin; Tao, Jianhua
作者单位	1.CAS Ctr Excellence Brain Sci & Intelligence Techn, Beijing 100190, Peoples R China 2.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing 100190, Peoples R China 3.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
推荐引用方式 GB/T 7714	Lian, Zheng,Liu, Bin,Tao, Jianhua. PIRNet: Personality-Enhanced Iterative Refinement Network for Emotion Recognition in Conversation[J]. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS,2022:12.
APA	Lian, Zheng,Liu, Bin,&Tao, Jianhua.(2022).PIRNet: Personality-Enhanced Iterative Refinement Network for Emotion Recognition in Conversation.IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS,12.
MLA	Lian, Zheng,et al."PIRNet: Personality-Enhanced Iterative Refinement Network for Emotion Recognition in Conversation".IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2022):12.