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Multimodal sentiment analysis (MSA) and emotion recognition in conversation (ERC) are key research topics for computers to understand human behaviors.
Emotion recognition in conversations with transfer learning from generative conversation modeling
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Differentiating affect, mood, and emotion: Toward functionally based conceptual distinctions
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The subtlety of emotions
Aaron Ben-Ze’ev. 2001 · 2001
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Emotions, sentiments, and performance expectations
Robert K Shelly. 2004 · 2004
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A survey on dialog management: Recent advances and challenges
Yinpei Dai, Huihua Yu, Yixuan Jiang, Chengguang Tang, Yongbin Li, and Jian Sun. 2020b · 2005
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Emotions and sentiments
Jan E Stets. 2006 · 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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Handbook of affective sciences
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Noise-contrastive estimation: A new estimation principle for unnormalized statistical models
Michael Gutmann and Aapo Hyvärinen. 2010 · 2010
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Towards multimodal sentiment analysis: harvesting opinions from the web
Louis-Philippe Morency, Rada Mihalcea, and Payal Doshi. 2011 · 2011
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Multimodal deep learning
Jiquan Ngiam, Aditya Khosla, Mingyu Kim, Juhan Nam, Honglak Lee, and Andrew Y. Ng. 2011 · 2011
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Are they different? affect, feeling, emotion, sentiment, and opinion detection in text
Myriam Munezero, Calkin Suero Montero, Erkki Sutinen, and John Pajunen. 2014 · 2014
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Lei Jimmy Ba, Jamie Ryan Kiros, and Geoffrey E. Hinton. 2016 · 2016
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Multimodal sentiment intensity analysis in videos: Facial gestures and verbal messages
Amir Zadeh, Rowan Zellers, Eli Pincus, and Louis-Philippe Morency. 2016 · 2016
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Multi-level multiple attentions for contextual multimodal sentiment analysis
Soujanya Poria, Erik Cambria, Devamanyu Hazarika, Navonil Majumder, Amir Zadeh, and Louis-Philippe Morency. 2017 · 2017
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Lukasz Kaiser, and Illia Polosukhin. 2017 · 2017
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Tensor fusion network for multimodal sentiment analysis
Amir Zadeh, Minghai Chen, Soujanya Poria, Erik Cambria, and Louis-Philippe Morency. 2017 · 2017
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Multimodal machine learning: A survey and taxonomy
Tadas Baltrušaitis, Chaitanya Ahuja, and Louis-Philippe Morency. 2018 · 2018
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Contextual inter-modal attention for multi-modal sentiment analysis
Deepanway Ghosal, Md. Shad Akhtar, Dushyant Singh Chauhan, Soujanya Poria, Asif Ekbal, and Pushpak Bhattacharyya. 2018 · 2018
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Efficient low-rank multimodal fusion with modality-specific factors
Zhun Liu, Ying Shen, Varun Bharadhwaj Lakshminarasimhan, Paul Pu Liang, Amir Zadeh, and Louis-Philippe Morency. 2018 · 2018
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Deep contextualized word representations
Matthew E. Peters, Mark Neumann, Mohit Iyyer, Matt Gardner, Christopher Clark, Kenton Lee, and Luke Zettlemoyer. 2018 · 2018
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Multimodal language analysis in the wild: CMU-MOSEI dataset and interpretable dynamic fusion graph
Amir Zadeh, Paul Pu Liang, Soujanya Poria, Erik Cambria, and Louis-Philippe Morency. 2018 · 2018
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Multi-task learning for multi-modal emotion recognition and sentiment analysis
Md. Shad Akhtar, Dushyant Singh Chauhan, Deepanway Ghosal, Soujanya Poria, Asif Ekbal, and Pushpak Bhattacharyya. 2019 · 2019
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Context-aware interactive attention for multi-modal sentiment and emotion analysis
Dushyant Singh Chauhan, Md. Shad Akhtar, Asif Ekbal, and Pushpak Bhattacharyya. 2019 · 2019
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Dialoguegcn: A graph convolutional neural network for emotion recognition in conversation
Deepanway Ghosal, Navonil Majumder, Soujanya Poria, Niyati Chhaya, and Alexander F. Gelbukh. 2019 · 2019
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Parameter-efficient transfer learning for NLP
Neil Houlsby, Andrei Giurgiu, Stanislaw Jastrzebski, Bruna Morrone, Quentin de Laroussilhe, Andrea Gesmundo, Mona Attariyan, and Sylvain Gelly. 2019 · 2019
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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. 2019 · 2019
Cited alongside, same era.
MMGCN: multimodal fusion via deep graph convolution network for emotion recognition in conversation
Jingwen Hu, Yuchen Liu, Jinming Zhao, and Qin Jin. 2021c · 2021
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Joosung Lee and Wooin Lee. 2021 · 2021
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Past, present, and future: Conversational emotion recognition through structural modeling of psychological knowledge
Jiangnan Li, Zheng Lin, Peng Fu, and Weiping Wang. 2021a · 2021
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Scalevlad: Improving multimodal sentiment analysis via multi-scale fusion of locally descriptors
Huaishao Luo, Lei Ji, Yanyong Huang, Bin Wang, Shenggong Ji, and Tianrui Li. 2021 · 2021
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Dialoguetrm: Exploring multi-modal emotional dynamics in a conversation
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Efficientnet: Rethinking model scaling for convolutional neural networks
Mingxing Tan and Quoc V. Le. 2019 · 2019
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Multimodal transformer for unaligned multimodal language sequences
Yao-Hung Hubert Tsai, Shaojie Bai, Paul Pu Liang, J. Zico Kolter, Louis-Philippe Morency, and Ruslan Salakhutdinov. 2019a · 2019
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Learning factorized multimodal representations
Yao-Hung Hubert Tsai, Paul Pu Liang, Amir Zadeh, Louis-Philippe Morency, and Ruslan Salakhutdinov. 2019b · 2019
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Words can shift: Dynamically adjusting word representations using nonverbal behaviors
Yansen Wang, Ying Shen, Zhun Liu, Paul Pu Liang, Amir Zadeh, and Louis-Philippe Morency. 2019 · 2019
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COSMIC: commonsense knowledge for emotion identification in conversations
Deepanway Ghosal, Navonil Majumder, Alexander F. Gelbukh, Rada Mihalcea, and Soujanya Poria. 2020 · 2020
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MISA: modality-invariant and -specific representations for multimodal sentiment analysis
Devamanyu Hazarika, Roger Zimmermann, and Soujanya Poria. 2020 · 2020
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Supervised contrastive learning
Prannay Khosla, Piotr Teterwak, Chen Wang, Aaron Sarna, Yonglong Tian, Phillip Isola, Aaron Maschinot, Ce Liu, and Dilip Krishnan. 2020 · 2020
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Yuzhao Mao, Guang Liu, Xiaojie Wang, Weiguo Gao, and Xuan Li. 2021 · 2021
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Directed acyclic graph network for conversational emotion recognition
Weizhou Shen, Siyue Wu, Yunyi Yang, and Xiaojun Quan. 2021 · 2021
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A discourse-aware graph neural network for emotion recognition in multi-party conversation
Yang Sun, Nan Yu, and Guohong Fu. 2021 · 2021
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Unire: A unified label space for entity relation extraction
Yijun Wang, Changzhi Sun, Yuanbin Wu, Hao Zhou, Lei Li, and Junchi Yan. 2021b · 2021
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A unified generative framework for aspect-based sentiment analysis
Hang Yan, Junqi Dai, Tuo Ji, Xipeng Qiu, and Zheng Zhang. 2021a · 2021
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A unified generative framework for various NER subtasks
Hang Yan, Tao Gui, Junqi Dai, Qipeng Guo, Zheng Zhang, and Xipeng Qiu. 2021b · 2021
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MTAG: modal-temporal attention graph for unaligned human multimodal language sequences
Jianing Yang, Yongxin Wang, Ruitao Yi, Yuying Zhu, Azaan Rehman, Amir Zadeh, Soujanya Poria, and Louis-Philippe Morency. 2021 · 2021
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Learning modality-specific representations with self-supervised multi-task learning for multimodal sentiment analysis
Wenmeng Yu, Hua Xu, Ziqi Yuan, and Jiele Wu. 2021a · 2021
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Transformer-based feature reconstruction network for robust multimodal sentiment analysis
Ziqi Yuan, Wei Li, Hua Xu, and Wenmeng Yu. 2021 · 2021
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Topic-driven and knowledge-aware transformer for dialogue emotion detection
Lixing Zhu, Gabriele Pergola, Lin Gui, Deyu Zhou, and Yulan He. 2021 · 2021
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Unidu: Towards A unified generative dialogue understanding framework
Zhi Chen, Lu Chen, Bei Chen, Libo Qin, Yuncong Liu, Su Zhu, Jian-Guang Lou, and Kai Yu. 2022 · 2022
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MM-DFN: multimodal dynamic fusion network for emotion recognition in conversations
Dou Hu, Xiaolong Hou, Lingwei Wei, Lian-Xin Jiang, and Yang Mo. 2022 · 2022
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COGMEN: contextualized GNN based multimodal emotion recognition
Abhinav Joshi, Ashwani Bhat, Ayush Jain, Atin Vikram Singh, and Ashutosh Modi. 2022 · 2022
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Paul Pu Liang, Amir Zadeh, and Louis-Philippe Morency. 2022 · 2022
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Duplex conversation: Towards human-like interaction in spoken dialogue system
Ting-En Lin, Yuchuan Wu, Fei Huang, Luo Si, Jian Sun, and Yongbin Li. 2022 · 2022
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M-sena: An integrated platform for multimodal sentiment analysis
Huisheng Mao, Ziqi Yuan, Hua Xu, Wenmeng Yu, Yihe Liu, and Kai Gao. 2022 · 2022
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Tianbao Xie, Chen Henry Wu, Peng Shi, Ruiqi Zhong, Torsten Scholak, Michihiro Yasunaga, Chien-Sheng Wu, Ming Zhong, Pengcheng Yin, Sida I. Wang, Victor Zhong, Bailin Wang, Chengzu Li, Connor Boyle, Ansong Ni, Ziyu Yao, Dragomir R. Radev, Caiming Xiong, Lingpeng Kong, Rui Zhang, Noah A. Smith, Luke Zettlemoyer, and Tao Yu. 2022 · 2022
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A slot is not built in one utterance: Spoken language dialogs with sub-slots
Sai Zhang, Yuwei Hu, Yuchuan Wu, Jiaman Wu, Yongbin Li, Jian Sun, Caixia Yuan, and Xiaojie Wang. 2022b · 2022
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Unims: A unified framework for multimodal summarization with knowledge distillation
Zhengkun Zhang, Xiaojun Meng, Yasheng Wang, Xin Jiang, Qun Liu, and Zhenglu Yang. 2022c · 2022
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