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Emotion Recognition in Conversation (ERC) is a more challenging task than conventional text emotion recognition.
Conversational Emotion Analysis via Attention Mechanisms
Lian, Z.; Tao, J.; Liu, B.; and Huang, J. 2019 · 1940
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Long Short-Term Memory
Hochreiter, S.; and Schmidhuber, J. 1997 · 1997
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Hierarchical Transformer Network for Utterance-level Emotion Recognition
Li, Q.; Wu, C.; Zheng, K.; and Wang, Z. 2020 · 2002
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IEMOCAP: interactive emotional dyadic motion capture database
Busso, C.; Bulut, M.; Lee, C.; Kazemzadeh, A.; Mower, E.; Kim, S.; Chang, J. N.; Lee, S.; and Narayanan, S. S. 2008 · 2008
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Who did They Respond to? Conversation Structure Modeling using Masked Hierarchical Transformer
Zhu, H.; Nan, F.; Wang, Z.; Nallapati, R.; and Xiang, B. 2020 · 2012
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Adam: A Method for Stochastic Optimization
Kingma, D. P.; and Ba, J. 2015 · 2015
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End-To-End Memory Networks
Sukhbaatar, S.; Szlam, A.; Weston, J.; and Fergus, R. 2015 · 2015
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Context-Dependent Sentiment Analysis in User-Generated Videos
Poria, S.; Cambria, E.; Hazarika, D.; Majumder, N.; Zadeh, A.; and Morency, L. 2017 · 2017
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Attention is All you Need
Vaswani, A.; Shazeer, N.; Parmar, N.; Uszkoreit, J.; Jones, L.; Gomez, A. N.; Kaiser, L.; and Polosukhin, I. 2017 · 2017
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Improving language understanding by generative pre-training
Radford, A.; Narasimhan, K.; Salimans, T.; and Sutskever, I. 2018 · 2018
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Modeling Relational Data with Graph Convolutional Networks
Schlichtkrull, M. S.; Kipf, T. N.; Bloem, P.; van den Berg, R.; Titov, I.; and Welling, M. 2018 · 2018
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BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Devlin, J.; Chang, M.; Lee, K.; and Toutanova, K. 2019 · 2019
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Unified Language Model Pre-training for Natural Language Understanding and Generation
HiGRU: Hierarchical Gated Recurrent Units for Utterance-Level Emotion Recognition
Jiao, W.; Yang, H.; King, I.; and Lyu, M. R. 2019 · 2019
Later among the works it cites.
Decoupled Weight Decay Regularization
Loshchilov, I.; and Hutter, F. 2019 · 2019
Later among the works it cites.
DialogueRNN: An Attentive RNN for Emotion Detection in Conversations
Majumder, N.; Poria, S.; Hazarika, D.; Mihalcea, R.; Gelbukh, A. F.; and Cambria, E. 2019 · 2019
Later among the works it cites.
Modeling both Context- and Speaker-Sensitive Dependence for Emotion Detection in Multi-speaker Conversations
Zhang, D.; Wu, L.; Sun, C.; Li, S.; Zhu, Q.; and Zhou, G. 2019 · 2019
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Knowledge-Enriched Transformer for Emotion Detection in Textual Conversations
Zhong, P.; Wang, D.; and Miao, C. 2019 · 2019
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Real-Time Emotion Recognition via Attention Gated Hierarchical Memory Network
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Dong, L.; Yang, N.; Wang, W.; Wei, F.; Liu, X.; Wang, Y.; Gao, J.; Zhou, M.; and Hon, H. 2019 · 2019
Cited alongside, same era.
DialogueGCN: A Graph Convolutional Neural Network for Emotion Recognition in Conversation
Ghosal, D.; Majumder, N.; Poria, S.; Chhaya, N.; and Gelbukh, A. F. 2019 · 2019
Cited alongside, same era.
ICON: Interactive Conversational Memory Network for Multimodal Emotion Detection
Hazarika, D.; Poria, S.; Mihalcea, R.; Cambria, E.; and Zimmermann, R. 2018a
Cited in the paper.
Conversational Memory Network for Emotion Recognition in Dyadic Dialogue Videos
Hazarika, D.; Poria, S.; Zadeh, A.; Cambria, E.; Morency, L.; and Zimmermann, R. 2018b
Cited in the paper.
MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversations
Poria, S.; Hazarika, D.; Majumder, N.; Naik, G.; Cambria, E.; and Mihalcea, R. 2019a
Cited in the paper.
Emotion Recognition in Conversation: Research Challenges, Datasets, and Recent Advances
Poria, S.; Majumder, N.; Mihalcea, R.; and Hovy, E. H. 2019b
Cited in the paper.
Jiao, W.; Lyu, M. R.; and King, I. 2020 · 2020
Closest in time.
Enhancing Cross-target Stance Detection with Transferable Semantic-Emotion Knowledge
Zhang, B.; Yang, M.; Li, X.; Ye, Y.; Xu, X.; and Dai, K. 2020 · 2020
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