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Previous research on empathetic dialogue systems has mostly focused on generating responses given certain emotions.
Learning from dialogue after deployment: Feed yourself, chatbot!
Braden Hancock, Antoine Bordes, Pierre-Emmanuel Mazare, and Jason Weston. 2019 · 1901
Earlier work this paper cites.
Transfertransfo: A transfer learning approach for neural network based conversational agents
Thomas Wolf, Victor Sanh, Julien Chaumond, and Clement Delangue. 2019 · 1901
Earlier work this paper cites.
Global-to-local memory pointer networks for task-oriented dialogue
Chien-Sheng Wu, Richard Socher, and Caiming Xiong. 2019 · 1901
Earlier work this paper cites.
The second conversational intelligence challenge (convai2)
Emily Dinan, Varvara Logacheva, Valentin Malykh, Alexander Miller, Kurt Shuster, Jack Urbanek, Douwe Kiela, Arthur Szlam, Iulian Serban, Ryan Lowe, et al. 2019 · 1902
Earlier work this paper cites.
Happybot: Generating empathetic dialogue responses by improving user experience look-ahead
Jamin Shin, Peng Xu, Andrea Madotto, and Pascale Fung. 2019 · 1906
Earlier work this paper cites.
Generative image modeling using spatial lstms
Lucas Theis and Matthias Bethge. 2015 · 1935
Earlier work this paper cites.
Evolutionary principles in self-referential learning. on learning now to learn: The meta-meta-meta…-hook
Jurgen Schmidhuber. 1987 · 1987
Earlier work this paper cites.
Adaptive mixtures of local experts
Robert A Jacobs, Michael I Jordan, Steven J Nowlan, Geoffrey E Hinton, et al. 1991 · 1991
Earlier work this paper cites.
Hierarchical mixtures of experts and the em algorithm
Michael I Jordan and Robert A Jacobs. 1994 · 1994
Earlier work this paper cites.
Mixtures of gaussian processes
Volker Tresp. 2001 · 2001
Earlier work this paper cites.
A parallel mixture of svms for very large scale problems
Ronan Collobert, Samy Bengio, and Yoshua Bengio. 2002 · 2002
Earlier work this paper cites.
Bleu: a method for automatic evaluation of machine translation
Kishore Papineni, Salim Roukos, Todd Ward, and Wei-Jing Zhu. 2002 · 2002
Earlier work this paper cites.
Infinite mixtures of gaussian process experts
Carl E Rasmussen and Zoubin Ghahramani. 2002 · 2002
Earlier work this paper cites.
Nonlinear models using dirichlet process mixtures
Babak Shahbaba and Radford Neal. 2009 · 2009
Earlier work this paper cites.
Hierarchical mixture of classification experts uncovers interactions between brain regions
Bangpeng Yao, Dirk Walther, Diane Beck, and Li Fei-Fei. 2009 · 2009
Earlier work this paper cites.
Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba. 2014 · 2014
Earlier work this paper cites.
Glove: Global vectors for word representation
Jeffrey Pennington, Richard Socher, and Christopher Manning. 2014 · 2014
Earlier work this paper cites.
Distributed gaussian processes
Marc Deisenroth and Jun Wei Ng. 2015 · 2015
Earlier work this paper cites.
A neural conversational model
Oriol Vinyals and Quoc Le. 2015 · 2015
Earlier work this paper cites.
Real-time speech emotion and sentiment recognition for interactive dialogue systems
Dario Bertero, Farhad Bin Siddique, Chien-Sheng Wu, Yan Wan, Ricky Ho Yin Chan, and Pascale Fung. 2016 · 2016
Earlier work this paper cites.
A diversity-promoting objective function for neural conversation models
Jiwei Li, Michel Galley, Chris Brockett, Jianfeng Gao, and Bill Dolan. 2016a · 2016
Cited alongside, same era.
Deep reinforcement learning for dialogue generation
Jiwei Li, Will Monroe, Alan Ritter, Dan Jurafsky, Michel Galley, and Jianfeng Gao. 2016c · 2016
Cited alongside, same era.
How not to evaluate your dialogue system: An empirical study of unsupervised evaluation metrics for dialogue response generation
Chia-Wei Liu, Ryan Lowe, Iulian Serban, Mike Noseworthy, Laurent Charlin, and Joelle Pineau. 2016 · 2016
Cited alongside, same era.
Key-value memory networks for directly reading documents
Alexander Miller, Adam Fisch, Jesse Dodge, Amir-Hossein Karimi, Antoine Bordes, and Jason Weston. 2016 · 2016
Cited alongside, same era.
Generative deep neural networks for dialogue: A short review
Iulian Vlad Serban, Ryan Lowe, Laurent Charlin, and Joelle Pineau. 2016 · 2016
Cited alongside, same era.
Eliciting positive emotion through affect-sensitive dialogue response generation: A neural network approach
Nurul Lubis, Sakriani Sakti, Koichiro Yoshino, and Satoshi Nakamura. 2018 · 2018
Later among the works it cites.
Mem2seq: Effectively incorporating knowledge bases into end-to-end task-oriented dialog systems
Andrea Madotto, Chien-Sheng Wu, and Pascale Fung. 2018 · 2018
Later among the works it cites.
Training millions of personalized dialogue agents
Pierre-Emmanuel Mazare, Samuel Humeau, Martin Raison, and Antoine Bordes. 2018a · 2018
Later among the works it cites.
Training millions of personalized dialogue agents
Pierre-Emmanuel Mazare, Samuel Humeau, Martin Raison, and Antoine Bordes. 2018b · 2018
Later among the works it cites.
I know the feeling: Learning to converse with empathy
Hannah Rashkin, Eric Michael Smith, Margaret Li, and Y-Lan Boureau. 2018 · 2018
Later among the works it cites.
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Expert gate: Lifelong learning with a network of experts
Rahaf Aljundi, Punarjay Chakravarty, and Tinne Tuytelaars. 2017 · 2017
Cited alongside, same era.
Toward controlled generation of text
Zhiting Hu, Zichao Yang, Xiaodan Liang, Ruslan Salakhutdinov, and Eric P Xing. 2017 · 2017
Cited alongside, same era.
Personalization in goal-oriented dialog
Chaitanya K Joshi, Fei Mi, and Boi Faltings. 2017 · 2017
Cited alongside, same era.
Lukasz Kaiser, Aidan N Gomez, Noam Shazeer, Ashish Vaswani, Niki Parmar, Llion Jones, and Jakob Uszkoreit. 2017 · 2017
Cited alongside, same era.
Outrageously large neural networks: The sparsely-gated mixture-of-experts layer
Noam Shazeer, Azalia Mirhoseini, Krzysztof Maziarz, Andy Davis, Quoc Le, Geoffrey Hinton, and Jeff Dean. 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.
Nora the empathetic psychologist
Genta Indra Winata, Onno Kampman, Yang Yang, Anik Dey, and Pascale Fung. 2017 · 2017
Cited alongside, same era.
Revanth Reddy, Danish Contractor, Dinesh Raghu, and Sachindra Joshi. 2018 · 2018
Later among the works it cites.
Sentigan: generating sentimental texts via mixture adversarial networks
Ke Wang and Xiaojun Wan. 2018 · 2018
Later among the works it cites.
Retrieve and refine: Improved sequence generation models for dialogue
Jason Weston, Emily Dinan, and Alexander Miller. 2018 · 2018
Later among the works it cites.
End-to-end dynamic query memory network for entity-value independent task-oriented dialog
Chien-Sheng Wu, Andrea Madotto, Genta Indra Winata, and Pascale Fung. 2018a · 2018
Later among the works it cites.
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.
Deepcopy: Grounded response generation with hierarchical pointer networks
Semih Yavuz, Abhinav Rastogi, Guanlin Chao, Dilek Hakkani-Tür, and Amazon Alexa AI. 2018 · 2018
Later among the works it cites.
Aiming to know you better perhaps makes me a more engaging dialogue partner
Yury Zemlyanskiy and Fei Sha. 2018 · 2018
Later among the works it cites.
Emotional chatting machine: Emotional conversation generation with internal and external memory
Hao Zhou, Minlie Huang, Tianyang Zhang, Xiaoyan Zhu, and Bing Liu. 2018 · 2018
Later among the works it cites.
Mojitalk: Generating emotional responses at scale
Xianda Zhou and William Yang Wang. 2018 · 2018
Later among the works it cites.
Semeval-2019 task 3: Emocontext: Contextual emotion detection in text
Ankush Chatterjee, Kedhar Nath Narahari, Meghana Joshi, and Puneet Agrawal. 2019b · 2019
Closest in time.
Team yeon-zi at semeval-2019 task 4: Hyperpartisan news detection by de-noising weakly-labeled data
Nayeon Lee, Zihan Liu, and Pascale Fung. 2019 · 2019
Closest in time.
Personalizing dialogue agents via meta-learning
Andrea Madotto, Zhaojiang Lin, Chien-Sheng Wu, and Pascale Fung. 2019 · 2019
Closest in time.
Disentangling Language and Knowledge in Task-Oriented Dialogs
Dinesh Raghu, Nikhil Gupta, and Mausam. 2019 · 2019
Closest in time.
Caire_hkust at semeval-2019 task 3: Hierarchical attention for dialogue emotion classification
Genta Indra Winata, Andrea Madotto, Zhaojiang Lin, Jamin Shin, Yan Xu, Peng Xu, and Pascale Fung. 2019 · 2019
Closest in time.