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

doi:10.1109/TNNLS.2022.3192469

	PIRNet: Personality-Enhanced Iterative Refinement Network for Emotion Recognition in Conversation
	Lian, Zheng1 ; Liu, Bin1 ; Tao, Jianhua1,2,3
发表期刊	IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
ISSN	2162-237X
	2022-07-25
页码	12
通讯作者	Liu, Bin(liubin@nlpr.ia.ac.cn) ; Tao, Jianhua(jhtao@nlpr.ia.ac.cn)
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.
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
DOI	10.1109/TNNLS.2022.3192469
关键词[WOS]	SENTIMENT ANALYSIS ; FUSION
收录类别	SCI
语种	英语
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]
项目资助者	National Natural Science Foundation of China (NSFC) ; Open Research Projects of Zhejiang Laboratory
WOS研究方向	Computer Science ; Engineering
WOS类目	Computer Science, Artificial Intelligence ; Computer Science, Hardware & Architecture ; Computer Science, Theory & Methods ; Engineering, Electrical & Electronic
WOS记录号	WOS:000833062800001
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
引用统计	被引频次：3[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/49765
专题	多模态人工智能系统全国重点实验室_智能交互
通讯作者	Liu, Bin; Tao, Jianhua
作者单位	1.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China 2.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing 100190, Peoples R China 3.CAS Ctr Excellence Brain Sci & Intelligence Techn, Beijing 100190, Peoples R China
第一作者单位	模式识别国家重点实验室
通讯作者单位	模式识别国家重点实验室
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.