Fetching the paper…
Reading the bibliography…
The majority of current systems for end-to-end dialog generation focus on response quality without an explicit control over the affective content of the responses.
Dropout: a simple way to prevent neural networks from overfitting
Nitish Srivastava, Geoffrey Hinton, Alex Krizhevsky, Ilya Sutskever, and Ruslan Salakhutdinov. 2014 · 1958
Earlier work this paper cites.
Autonomic nervous system activity distinguishes among emotions
Paul Ekman, Robert W Levenson, and Wallace V Friesen. 1983 · 1983
Earlier work this paper cites.
Long short-term memory
Sepp Hochreiter and Jürgen Schmidhuber. 1997 · 1997
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.
Meteor, m-bleu and m-ter: Evaluation metrics for high-correlation with human rankings of machine translation output
Abhaya Agarwal and Alon Lavie. 2008 · 2008
Earlier work this paper cites.
News from OPUS - A collection of multilingual parallel corpora with tools and interfaces
Jörg Tiedemann. 2009 · 2009
Earlier work this paper cites.
Chameleons in imagined conversations: A new approach to understanding coordination of linguistic style in dialogs
Cristian Danescu-Niculescu-Mizil and Lillian Lee. 2011 · 2011
Earlier work this paper cites.
In defense of dominance: PAD usage in computational representations of affect
Joost Broekens. 2012 · 2012
Earlier work this paper cites.
Mapping discrete emotions into the dimensional space: An empirical approach
Holger Hoffmann, Andreas Scheck, Timo Schuster, Steffen Walter, Kerstin Limbrecht, Harald C Traue, and Henrik Kessler. 2012 · 2012
Earlier work this paper cites.
Affectbutton: A method for reliable and valid affective self-report
Joost Broekens and Willem-Paul Brinkman. 2013 · 2013
Earlier work this paper cites.
Neural machine translation by jointly learning to align and translate
Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio. 2014 · 2014
Earlier work this paper cites.
Empirical evaluation of gated recurrent neural networks on sequence modeling
Junyoung Chung, Çaglar Gülçehre, KyungHyun Cho, and Yoshua Bengio. 2014 · 2014
Cited alongside, same era.
Adam: A method for stochastic optimization
Diederik P. Kingma and Jimmy Ba. 2014 · 2014
Cited alongside, same era.
Sequence to sequence learning with neural networks
Ilya Sutskever, Oriol Vinyals, and Quoc V Le. 2014 · 2014
Cited alongside, same era.
Hierarchical neural network generative models for movie dialogues
Iulian Vlad Serban, Alessandro Sordoni, Yoshua Bengio, Aaron C. Courville, and Joelle Pineau. 2015 · 2015
Cited alongside, same era.
A neural network approach to context-sensitive generation of conversational responses
In-the-wild chatbot corpus: from opinion analysis to interaction problem detection
Irina Maslowski, Delphine Lagarde, and Chloé Clavel. 2017 · 2017
Later among the works it cites.
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
Later among the works it cites.
Hierarchical neural story generation
Angela Fan, Mike Lewis, and Yann Dauphin. 2018 · 2018
Later among the works it cites.
Automatic dialogue generation with expressed emotions
Chenyang Huang, Osmar Zaiane, Amine Trabelsi, and Nouha Dziri. 2018 · 2018
Later among the works it cites.
Goal-oriented chatbot dialog management bootstrapping with transfer learning
Vladimir Ilievski, Claudiu Musat, Andreea Hossmann, and Michael Baeriswyl. 2018 · 2018
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Alessandro Sordoni, Michel Galley, Michael Auli, Chris Brockett, Yangfeng Ji, Margaret Mitchell, Jian-Yun Nie, Jianfeng Gao, and Bill Dolan. 2015 · 2015
Cited alongside, same era.
Oriol Vinyals and Quoc V. Le. 2015 · 2015
Cited alongside, same era.
A diversity-promoting objective function for neural conversation models
Jiwei Li, Michel Galley, Chris Brockett, Jianfeng Gao, and Bill Dolan. 2016 · 2016
Cited alongside, same era.
Establishing sustained, supportive human-robot relationships: Building blocks and open challenges
Sarah Strohkorb, Chien-Ming Huang, Aditi Ramachandran, and Brian Scassellati. 2016 · 2016
Cited alongside, same era.
Affective neural response generation
Nabiha Asghar, Pascal Poupart, Jesse Hoey, Xin Jiang, and Lili Mou. 2017 · 2017
Cited alongside, same era.
A survey on dialogue systems: Recent advances and new frontiers
Hongshen Chen, Xiaorui Liu, Dawei Yin, and Jiliang Tang. 2017 · 2017
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.
Advances in pre-training distributed word representations
Tomas Mikolov, Edouard Grave, Piotr Bojanowski, Christian Puhrsch, and Armand Joulin. 2018 · 2018
Later among the works it cites.
Obtaining reliable human ratings of valence, arousal, and dominance for 20,000 English words
Saif M. Mohammad. 2018 · 2018
Later among the works it cites.
Disney at IEST 2018: Predicting emotions using an ensemble
Wojciech Witon, Pierre Colombo, Ashutosh Modi, and Mubbasir Kapadia. 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.