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Emotion recognition in conversation (ERC) has received much attention, lately, from researchers due to its potential widespread applications in diverse areas, such as health-care, education, and human resources.
Chenyang Huang, Amine Trabelsi, and Osmar R Zaïane. 2019 · 1904
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Long short-term memory
Sepp Hochreiter and Jürgen Schmidhuber. 1997 · 1997
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Predicting affective states expressed through an emote-aloud procedure from autotutor’s mixed-initiative dialogue
Sidney K. D’Mello, Scotty Craig, Jeremiah Sullins, and Arthur Graesser. 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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The graph neural network model
Franco Scarselli, Marco Gori, Ah Chung Tsoi, Markus Hagenbuchner, and Gabriele Monfardini. 2008 · 2008
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Rectified linear units improve restricted boltzmann machines
Vinod Nair and Geoffrey E Hinton. 2010 · 2010
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Annotating and identifying emotions in text
Carlo Strapparava and Rada Mihalcea. 2010 · 2010
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The SEMAINE Database: Annotated Multimodal Records of Emotionally Colored Conversations between a Person and a Limited Agent
G. McKeown, M. Valstar, R. Cowie, M. Pantic, and M. Schroder. 2012 · 2012
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AVEC 2012: The Continuous Audio/Visual Emotion Challenge
Björn Schuller, Michel Valster, Florian Eyben, Roddy Cowie, and Maja Pantic. 2012 · 2012
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Spectral networks and locally connected networks on graphs
Joan Bruna, Wojciech Zaremba, Arthur Szlam, and Yann LeCun. 2013 · 2013
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Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling
Junyoung Chung, Çaglar Gülçehre, KyungHyun Cho, and Yoshua Bengio. 2014 · 2014
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Convolutional neural networks for sentence classification
Yoon Kim. 2014 · 2014
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Adam: A Method for Stochastic Optimization
Diederik P. Kingma and Jimmy Ba. 2014 · 2014
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Glove: Global vectors for word representation
Jeffrey Pennington, Richard Socher, and Christopher D. Manning. 2014 · 2014
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End-to-end Memory Networks
Sainbayar Sukhbaatar, Arthur Szlam, Jason Weston, and Rob Fergus. 2015 · 2015
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Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
Neural message passing for quantum chemistry
Justin Gilmer, Samuel S Schoenholz, Patrick F Riley, Oriol Vinyals, and George E Dahl. 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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Emotion recognition on twitter: comparative study and training a unison model
Niko Colneriĉ and Janez Demsar. 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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Michaël Defferrard, Xavier Bresson, and Pierre Vandergheynst. 2016 · 2016
Cited alongside, same era.
Semi-supervised classification with graph convolutional networks
Thomas N Kipf and Max Welling. 2016 · 2016
Cited alongside, same era.
Mirroring facial expressions and emotions in dyadic conversations
Costanza Navarretta, K Choukri, T Declerck, S Goggi, M Grobelnik, and B Maegaard. 2016 · 2016
Cited alongside, same era.
Quasi-Recurrent Neural Networks
James Bradbury, Stephen Merity, Caiming Xiong, and Richard Socher. 2017 · 2017
Cited alongside, same era.
Multimodal sentiment analysis with word-level fusion and reinforcement learning
Minghai Chen, Sen Wang, Paul Pu Liang, Tadas Baltrušaitis, Amir Zadeh, and Louis-Philippe Morency. 2017 · 2017
Cited alongside, same era.
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.
Emotion recognition in conversation: Research challenges, datasets, and recent advances
Soujanya Poria, Navonil Majumder, Rada Mihalcea, and Eduard Hovy. 2019b
Cited in the paper.
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
Later among the works it cites.
Decision support with text-based emotion recognition: Deep learning for affective computing
Bernhard Kratzwald, Suzana Ilic, Mathias Kraus, Stefan Feuerriegel, and Helmut Prendinger. 2018 · 2018
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Modeling relational data with graph convolutional networks
Michael Schlichtkrull, Thomas N Kipf, Peter Bloem, Rianne Van Den Berg, Ivan Titov, and Max Welling. 2018 · 2018
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Emotional chatting machine: Emotional conversation generation with internal and external memory
Hao Zhou, Minlie Huang, Tianyang Zhang, Xiaoyan Zhu, and Bing Liu. 2018 · 2018
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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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