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The emotional state of a speaker can be influenced by many different factors in dialogues, such as dialogue scene, dialogue topic, and interlocutor stimulus.
Dialoguegcn: A graph convolutional neural network for emotion recognition in conversation
Deepanway Ghosal, Navonil Majumder, Soujanya Poria, Niyati Chhaya, and Alexander Gelbukh. 2019 · 1908
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Paul Ekman. 1992 · 1992
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Nickolaos Fragopanagos and John G Taylor. 2005 · 2005
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What are emotions? and how can they be measured?
Klaus R Scherer. 2005 · 2005
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Annotation and detection of blended emotions in real human-human dialogs recorded in a call center
Laurence Vidrascu and Laurence Devillers. 2005 · 2005
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wav2vec 2.0: A framework for self-supervised learning of speech representations
Alexei Baevski, Henry Zhou, Abdelrahman Mohamed, and Michael Auli. 2020 · 2006
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Iemocap: Interactive emotional dyadic motion capture database
Carlos Busso, Murtaza Bulut, Chi-Chun Lee, Abe Kazemzadeh, Emily Mower, Samuel Kim, Jeannette N Chang, Sungbok Lee, and Shrikanth S Narayanan. 2008 · 2008
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Abhinav Dhall, Roland Goecke, Simon Lucey, and Tom Gedeon. 2012 · 2012
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A hierarchical transformer with speaker modeling for emotion recognition in conversation
Jiangnan Li, Zheng Lin, Peng Fu, Qingyi Si, and Weiping Wang. 2020 · 2012
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Dialogxl: All-in-one xlnet for multi-party conversation emotion recognition
Weizhou Shen, Junqing Chen, Xiaojun Quan, and Zhixian Xie. 2020 · 2012
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What is shared, what is different? core relational themes and expressive displays of eight positive emotions
Belinda Campos, Michelle N Shiota, Dacher Keltner, Gian C Gonzaga, and Jennifer L Goetz. 2013 · 2013
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Statistical methods for rates and proportions
Joseph L Fleiss, Bruce Levin, and Myunghee Cho Paik. 2013 · 2013
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Emotion unfolding and affective scenes: A case study in spoken conversations
Morena Danieli, Giuseppe Riccardi, and Firoj Alam. 2015 · 2015
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Emotional inertia and external events: The roles of exposure, reactivity, and recovery
Peter Koval, Annette Brose, Madeline L Pe, Marlies Houben, Yasemin Erbas, Dominique Champagne, and Peter Kuppens. 2015 · 2015
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Training deep networks for facial expression recognition with crowd-sourced label distribution
Emad Barsoum, Cha Zhang, Cristian Canton Ferrer, and Zhengyou Zhang. 2016 · 2016
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Msp-improv: An acted corpus of dyadic interactions to study emotion perception
Carlos Busso, Srinivas Parthasarathy, Alec Burmania, Mohammed AbdelWahab, Najmeh Sadoughi, and Emily Mower Provost. 2016 · 2016
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Conversational memory network for emotion recognition in dyadic dialogue videos
Devamanyu Hazarika, Soujanya Poria, Amir Zadeh, Erik Cambria, Louis-Philippe Morency, and Roger Zimmermann. 2018b · 2018
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Mec 2017: Multimodal emotion recognition challenge
Ya Li, Jianhua Tao, Björn Schuller, Shiguang Shan, Dongmei Jiang, and Jia Jia. 2018 · 2018
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Avec 2018 workshop and challenge: Bipolar disorder and cross-cultural affect recognition
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Multimodal language analysis in the wild: Cmu-mosei dataset and interpretable dynamic fusion graph
AmirAli Bagher Zadeh, Paul Pu Liang, Soujanya Poria, Erik Cambria, and Louis-Philippe Morency. 2018 · 2018
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Emotion detection on tv show transcripts with sequence-based convolutional neural networks
Sayyed M Zahiri and Jinho D Choi. 2018 · 2018
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Densely connected convolutional networks
Gao Huang, Zhuang Liu, Laurens Van Der Maaten, and Kilian Q Weinberger. 2017 · 2017
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Dailydialog: A manually labelled multi-turn dialogue dataset
Yanran Li, Hui Su, Xiaoyu Shen, Wenjie Li, Ziqiang Cao, and Shuzi Niu. 2017 · 2017
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Affectnet: A database for facial expression, valence, and arousal computing in the wild
Ali Mollahosseini, Behzad Hasani, and Mohammad H Mahoor. 2017 · 2017
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Context-dependent sentiment analysis in user-generated videos
Soujanya Poria, Erik Cambria, Devamanyu Hazarika, Navonil Majumder, Amir Zadeh, and Louis-Philippe Morency. 2017 · 2017
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Emotionlines: An emotion corpus of multi-party conversations
Sheng-Yeh Chen, Chao-Chun Hsu, Chuan-Chun Kuo, Lun-Wei Ku, et al. 2018 · 2018
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Icon: Interactive conversational memory network for multimodal emotion detection
Devamanyu Hazarika, Soujanya Poria, Rada Mihalcea, Erik Cambria, and Roger Zimmermann. 2018a · 2018
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Meld: A multimodal multi-party dataset for emotion recognition in conversations
Soujanya Poria, Devamanyu Hazarika, Navonil Majumder, Gautam Naik, Erik Cambria, and Rada Mihalcea. 2019a
Cited in the paper.
Dialoguernn: An attentive rnn for emotion detection in conversations
Navonil Majumder, Soujanya Poria, Devamanyu Hazarika, Rada Mihalcea, Alexander Gelbukh, and Erik Cambria. 2019 · 2019
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Xlnet: Generalized autoregressive pretraining for language understanding
Zhilin Yang, Zihang Dai, Yiming Yang, Jaime Carbonell, Russ R Salakhutdinov, and Quoc V Le. 2019 · 2019
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Ch-sims: A chinese multimodal sentiment analysis dataset with fine-grained annotation of modality
Wenmeng Yu, Hua Xu, Fanyang Meng, Yilin Zhu, Yixiao Ma, Jiele Wu, Jiyun Zou, and Kaicheng Yang. 2020 · 2020
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Mmgcn: Multimodal fusion via deep graph convolution network for emotion recognition in conversation
Jingwen Hu, Yuchen Liu, Jinming Zhao, and Qin Jin. 2021 · 2021
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Is someone speaking? exploring long-term temporal features for audio-visual active speaker detection
Ruijie Tao, Zexu Pan, Rohan Kumar Das, Xinyuan Qian, Mike Zheng Shou, and Haizhou Li. 2021 · 2021
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Missing modality imagination network for emotion recognition with uncertain missing modalities
Jinming Zhao, Ruichen Li, and Qin Jin. 2021 · 2021
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