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

文献类型：期刊论文

作者Lian, Zheng3; Liu, Bin3; Tao, Jianhua1,2,3
刊名IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
出版日期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
DOI10.1109/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.
WOS关键词SENTIMENT ANALYSIS ; FUSION
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研究方向Computer Science ; Engineering
语种英语
WOS记录号WOS:000833062800001
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
资助机构National Natural Science Foundation of China (NSFC) ; Open Research Projects of Zhejiang Laboratory
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.

入库方式： OAI收割

来源：自动化研究所

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