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Emotion detection in dialogues is challenging as it often requires the identification of thematic topics underlying a conversation, the relevant commonsense knowledge, and the intricate transition patterns between the affective states.
RoBERTa: A robustly optimized bert pretraining approach
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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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Iulian Serban, Alessandro Sordoni, Ryan Lowe, Laurent Charlin, Joelle Pineau, Aaron Courville, and Yoshua Bengio. 2017 · 2017
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SocialNLP 2018 EmotionX challenge overview: Recognizing emotions in dialogues
Language models as knowledge bases?
Fabio Petroni, Tim Rocktäschel, Sebastian Riedel, Patrick Lewis, Anton Bakhtin, Yuxiang Wu, and Alexander Miller. 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
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Nils Reimers and Iryna Gurevych. 2019 · 2019
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Atomic: An atlas of machine commonsense for if-then reasoning
Maarten Sap, Ronan Le Bras, Emily Allaway, Chandra Bhagavatula, Nicholas Lourie, Hannah Rashkin, Brendan Roof, Noah A Smith, and Yejin Choi. 2019 · 2019
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Dirichlet latent variable hierarchical recurrent encoder-decoder in dialogue generation
Min Zeng, Yisen Wang, and Yuan Luo. 2019 · 2019
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Chao-Chun Hsu and Lun-Wei Ku. 2018 · 2018
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A hierarchical latent structure for variational conversation modeling
Yookoon Park, Jaemin Cho, and Gunhee Kim. 2018 · 2018
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Improving variational encoder-decoders in dialogue generation
Xiaoyu Shen, Hui Su, Shuzi Niu, and Vera Demberg. 2018 · 2018
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Emotion detection on tv show transcripts with sequence-based convolutional neural networks
Sayyed M Zahiri and Jinho D Choi. 2018 · 2018
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Comet: Commonsense transformers for automatic knowledge graph construction
Antoine Bosselut, Hannah Rashkin, Maarten Sap, Chaitanya Malaviya, Asli Celikyilmaz, and Yejin Choi. 2019 · 2019
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Observing dialogue in therapy: Categorizing and forecasting behavioral codes
Jie Cao, Michael Tanana, Zac Imel, Eric Poitras, David Atkins, and Vivek Srikumar. 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 Gelbukh. 2019 · 2019
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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. 2019 · 2019
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Knowledge-enriched transformer for emotion detection in textual conversations
Peixiang Zhong, Di Wang, and Chunyan Miao. 2019 · 2019
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Sumanth Dathathri, Andrea Madotto, Janice Lan, Jane Hung, Eric Frank, Piero Molino, Jason Yosinski, and Rosanne Liu. 2020 · 2020
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Deepanway Ghosal, Navonil Majumder, Alexander Gelbukh, Rada Mihalcea, and Soujanya Poria. 2020 · 2020
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Real-time emotion recognition via attention gated hierarchical memory network
Wenxiang Jiao, Michael Lyu, and Irwin King. 2020 · 2020
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Optimus: Organizing sentences via pre-trained modeling of a latent space
Chunyuan Li, Xiang Gao, Yuan Li, Baolin Peng, Xiujun Li, Yizhe Zhang, and Jianfeng Gao. 2020a · 2020
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Nicole Peinelt, Dong Nguyen, and Maria Liakata. 2020 · 2020
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A discrete variational recurrent topic model without the reparametrization trick
Mehdi Rezaee and Francis Ferraro. 2020 · 2020
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Transformers: State-of-the-art natural language processing
Thomas Wolf, Lysandre Debut, Victor Sanh, Julien Chaumond, Clement Delangue, Anthony Moi, Pierric Cistac, Tim Rault, Remi Louf, Morgan Funtowicz, Joe Davison, Sam Shleifer, Patrick von Platen, Clara Ma, Yacine Jernite, Julien Plu, Canwen Xu, Teven Le Scao, Sylvain Gugger, Mariama Drame, Quentin Lhoest, and Alexander Rush. 2020 · 2020
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