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Most emotion recognition methods tackle the emotion understanding task by considering individual emotion independently while ignoring their fuzziness nature and the interconnections among them.
Happybot: Generating empathetic dialogue responses by improving user experience look-ahead
Jamin Shin, Peng Xu, Andrea Madotto, and Pascale Fung. 2019 · 1906
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Emotions: A general psychoevolutionary theory
Robert Plutchik. 1984 · 1984
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Learning fast adaptation on cross-accented speech recognition
Genta Indra Winata, Samuel Cahyawijaya, Zihan Liu, Zhaojiang Lin, Andrea Madotto, Peng Xu, and Pascale Fung. 2020 · 2003
Earlier work this paper cites.
Learning multi-label scene classification
Matthew R Boutell, Jiebo Luo, Xipeng Shen, and Christopher M Brown. 2004 · 2004
Earlier work this paper cites.
Multi-label classification: An overview
Grigorios Tsoumakas and Ioannis Katakis. 2007 · 2007
Earlier work this paper cites.
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
Earlier work this paper cites.
Classifier chains for multi-label classification
Jesse Read, Bernhard Pfahringer, Geoff Holmes, and Eibe Frank. 2011 · 2011
Earlier work this paper cites.
Deep maxout networks for low-resource speech recognition
Yajie Miao, Florian Metze, and Shourabh Rawat. 2013 · 2013
Earlier work this paper cites.
Deep neural network features and semi-supervised training for low resource speech recognition
Samuel Thomas, Michael L Seltzer, Kenneth Church, and Hynek Hermansky. 2013 · 2013
Earlier work this paper cites.
Sentence-level emotion classification with label and context dependence
Shoushan Li, Lei Huang, Rong Wang, and Guodong Zhou. 2015 · 2015
Earlier work this paper cites.
Sentiment embeddings with applications to sentiment analysis
Duyu Tang, Furu Wei, Bing Qin, Nan Yang, Ting Liu, and Ming Zhou. 2016 · 2016
Earlier work this paper cites.
Unsupervised neural machine translation
Mikel Artetxe, Gorka Labaka, Eneko Agirre, and Kyunghyun Cho. 2017 · 2017
Earlier work this paper cites.
Towards zero-shot frame semantic parsing for domain scaling
Ankur Bapna, Gokhan Tür, Dilek Hakkani-Tür, and Larry Heck. 2017 · 2017
Earlier work this paper cites.
Ensemble application of convolutional and recurrent neural networks for multi-label text categorization
Guibin Chen, Deheng Ye, Zhenchang Xing, Jieshan Chen, and Erik Cambria. 2017 · 2017
Cited alongside, same era.
Using millions of emoji occurrences to learn any-domain representations for detecting sentiment, emotion and sarcasm
Bjarke Felbo, Alan Mislove, Anders Søgaard, Iyad Rahwan, and Sune Lehmann. 2017 · 2017
Cited alongside, same era.
Semi-supervised classification with graph convolutional networks
Thomas N Kipf and Max Welling. 2017 · 2017
Cited alongside, same era.
Unsupervised machine translation using monolingual corpora only
Guillaume Lample, Alexis Conneau, Ludovic Denoyer, and Marc’Aurelio Ranzato. 2017 · 2017
Cited alongside, same era.
Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin. 2017 · 2017
Cited alongside, same era.
Emo2vec: Learning generalized emotion representation by multi-task training
Peng Xu, Andrea Madotto, Chien-Sheng Wu, Ji Ho Park, and Pascale Fung. 2018 · 2018
Later among the works it cites.
Sgm: Sequence generation model for multi-label classification
Pengcheng Yang, Xu Sun, Wei Li, Shuming Ma, Wei Wu, and Houfeng Wang. 2018 · 2018
Later among the works it cites.
Improving multi-label emotion classification via sentiment classification with dual attention transfer network
Jianfei Yu, Luís Marujo, Jing Jiang, Pradeep Karuturi, and William Brendel. 2018 · 2018
Later among the works it cites.
The design and implementation of xiaoice, an empathetic social chatbot
Li Zhou, Jianfeng Gao, Di Li, and Heung-Yeung Shum. 2018 · 2018
Later among the works it cites.
Multi-label image recognition with graph convolutional networks
Zhao-Min Chen, Xiu-Shen Wei, Peng Wang, and Yanwen Guo. 2019 · 2019
Later among the works it cites.
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Sentiment lexicon construction with representation learning based on hierarchical sentiment supervision
Leyi Wang and Rui Xia. 2017 · 2017
Cited alongside, same era.
Ntua-slp at semeval-2018 task 1: Predicting affective content in tweets with deep attentive rnns and transfer learning
Christos Baziotis, Athanasiou Nikolaos, Alexandra Chronopoulou, Athanasia Kolovou, Georgios Paraskevopoulos, Nikolaos Ellinas, Shrikanth Narayanan, and Alexandros Potamianos. 2018 · 2018
Cited alongside, same era.
Seernet at semeval-2018 task 1: Domain adaptation for affect in tweets
Venkatesh Duppada, Royal Jain, and Sushant Hiray. 2018 · 2018
Cited alongside, same era.
Deeper insights into graph convolutional networks for semi-supervised learning
Qimai Li, Zhichao Han, and Xiao-Ming Wu. 2018 · 2018
Cited alongside, same era.
Semeval-2018 task 1: Affect in tweets
Saif Mohammad, Felipe Bravo-Marquez, Mohammad Salameh, and Svetlana Kiritchenko. 2018 · 2018
Cited alongside, same era.
Plusemo2vec at semeval-2018 task 1: Exploiting emotion knowledge from emoji and# hashtags
Ji Ho Park, Peng Xu, and Pascale Fung. 2018 · 2018
Cited alongside, same era.
Few-shot learning with graph neural networks
Victor Garcia Satorras and Joan Bruna Estrach. 2018 · 2018
Cited alongside, same era.
Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
Later among the works it cites.
Dialoguegcn: A graph convolutional neural network for emotion recognition in conversation
Deepanway Ghosal, Navonil Majumder, Soujanya Poria, Niyati Chhaya, and Alexander Gelbukh. 2019 · 2019
Later among the works it cites.
Moel: Mixture of empathetic listeners
Zhaojiang Lin, Andrea Madotto, Jamin Shin, Peng Xu, and Pascale Fung. 2019 · 2019
Later among the works it cites.
Zero-shot cross-lingual dialogue systems with transferable latent variables
Zihan Liu, Jamin Shin, Yan Xu, Genta Indra Winata, Peng Xu, Andrea Madotto, and Pascale Fung. 2019 · 2019
Later among the works it cites.
Clickbait? sensational headline generation with auto-tuned reinforcement learning
Peng Xu, Chien-Sheng Wu, Andrea Madotto, and Pascale Fung. 2019 · 2019
Later among the works it cites.
Graph convolutional networks for text classification
Liang Yao, Chengsheng Mao, and Yuan Luo. 2019 · 2019
Later among the works it cites.
Emotion recognition in low-resource settings: An evaluation of automatic feature selection methods
Fasih Haider, Senja Pollak, Pierre Albert, and Saturnino Luz. 2020 · 2020
Closest in time.
Coach: A coarse-to-fine approach for cross-domain slot filling
Zihan Liu, Genta Indra Winata, Peng Xu, and Pascale Fung. 2020 · 2020
Closest in time.