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The modeling of conversational context plays a vital role in emotion recognition from conversation (ERC).
Roberta: A robustly optimized bert pretraining approach
Yinhan Liu, Myle Ott, Naman Goyal, Jingfei Du, Mandar Joshi, Danqi Chen, Omer Levy, Mike Lewis, Luke Zettlemoyer, and Veselin Stoyanov. 2019 · 1907
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Improving graph neural network representations of logical formulae with subgraph pooling
Maxwell Crouse, Ibrahim Abdelaziz, Cristina Cornelio, Veronika Thost, Lingfei Wu, Kenneth Forbus, and Achille Fokoue. 2019 · 1911
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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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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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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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Improved semantic representations from tree-structured long short-term memory networks
Kai Sheng Tai, Richard Socher, and Christopher D Manning. 2015 · 2015
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Semi-supervised classification with graph convolutional networks
Thomas N Kipf and Max Welling. 2016 · 2016
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Dag-recurrent neural networks for scene labeling
Bing Shuai, Zhen Zuo, Bing Wang, and Gang Wang. 2016 · 2016
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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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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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Petar Veličković, Guillem Cucurull, Arantxa Casanova, Adriana Romero, Pietro Lio, and Yoshua Bengio. 2017 · 2017
Cited alongside, same era.
Emotion detection on tv show transcripts with sequence-based convolutional neural networks
Sayyed M. Zahiri and Jinho D. Choi. 2017 · 2017
Cited alongside, same era.
A survey of machine learning for big code and naturalness
Miltiadis Allamanis, Earl T Barr, Premkumar Devanbu, and Charles Sutton. 2018 · 2018
Cited alongside, same era.
Emotionlines: An emotion corpus of multi-party conversations
Sheng-Yeh Chen, Chao-Chun Hsu, Chuan-Chun Kuo, Ting-Hao, Huang, and Lun-Wei Ku. 2018 · 2018
Cited alongside, same era.
Icon: Interactive conversational memory network for multimodal emotion detection
Devamanyu Hazarika, Soujanya Poria, Rada Mihalcea, Erik Cambria, and Roger Zimmermann. 2018a · 2018
Cited alongside, same era.
Higru: Hierarchical gated recurrent units for utterance-level emotion recognition
Wenxiang Jiao, Haiqin Yang, Irwin King, and Michael R Lyu. 2019 · 2019
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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
Later among the works it cites.
Meld: A multimodal multi-party dataset for emotion recognition in conversations
Soujanya Poria, Devamanyu Hazarika, Navonil Majumder, Rada Mihalcea, Gautam Naik, and Erik Cambria. 2019b · 2019
Later among the works it cites.
Xlnet: Generalized autoregressive pretraining for language understanding
Zhilin Yang, Zihang Dai, Yiming Yang, Jaime Carbonell, Russ R Salakhutdinov, and Quoc V Le. 2019 · 2019
Later among the works it cites.
Knowledge-enriched transformer for emotion detection in textual conversations
Peixiang Zhong, Di Wang, and Chunyan Miao. 2019 · 2019
Later among the works it cites.
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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
Cited alongside, same era.
Modeling relational data with graph convolutional networks
Michael Sejr Schlichtkrull, Thomas N. Kipf, Peter Bloem, Rianne van den Berg, Ivan Titov, and Max Welling. 2018 · 2018
Cited alongside, same era.
Semeval-2019 task 3: Emocontext contextual emotion detection in text
Ankush Chatterjee, Kedhar Nath Narahari, Meghana Joshi, and Puneet Agrawal. 2019 · 2019
Cited alongside, same era.
Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina N. Toutanova. 2018 · 2019
Cited alongside, same era.
Dialoguegcn: A graph convolutional neural network for emotion recognition in conversation
Deepanway Ghosal, Navonil Majumder, Soujanya Poria, Niyati Chhaya, and Alexander Gelbukh. 2019 · 2019
Cited alongside, same era.
Emotion recognition in conversation: Research challenges, datasets, and recent advances
Soujanya Poria, Navonil Majumder, Rada Mihalcea, and Eduard Hovy. 2019a
Cited in the paper.
Modeling both context- and speaker-sensitive dependence for emotion detection in multi-speaker conversations
Dong Zhang, Liangqing Wu, Changlong Sun, Shoushan Li, Qiaoming Zhu, and Guodong Zhou. 2019a
Cited in the paper.
Cosmic: Commonsense knowledge for emotion identification in conversations
Deepanway Ghosal, Navonil Majumder, Alexander Gelbukh, Rada Mihalcea, and Soujanya Poria. 2020 · 2020
Later among the works it cites.
Relation-aware graph attention networks with relational position encodings for emotion recognition in conversations
Taichi Ishiwatari, Yuki Yasuda, Taro Miyazaki, and Jun Goto. 2020 · 2020
Later among the works it cites.
Mime: Mimicking emotions for empathetic response generation
Navonil Majumder, Pengfei Hong, Shanshan Peng, Jiankun Lu, Deepanway Ghosal, Alexander Gelbukh, Rada Mihalcea, and Soujanya Poria. 2020 · 2020
Later among the works it cites.
Directed acyclic graph neural networks
Veronika Thost and Jie Chen. 2021 · 2021
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