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Building an open-domain conversational agent is a challenging problem.
Large sample standard errors of kappa and weighted kappa
Joseph L Fleiss, Jacob Cohen, and Brian S Everitt · 1969
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Functions of humor in the conversations of men and women
Jennifer Hay · 2000
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Vector-based models of semantic composition
Jeff Mitchell and Mirella Lapata · 2008
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Language style matching as a predictor of social dynamics in small groups
Amy L Gonzales, Jeffrey T Hancock, and James W Pennebaker · 2010
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Language style matching predicts relationship initiation and stability
Molly E Ireland, Richard B Slatcher, Paul W Eastwick, Lauren E Scissors, Eli J Finkel, and James W Pennebaker · 2011
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Chameleons in imagined conversations: A new approach to understanding coordination of linguistic style in dialogs
Cristian Danescu-Niculescu-Mizil and Lillian Lee · 2011
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Listening competence in initial interactions i: Distinguishing between what listening is and what listeners do
Graham D Bodie, Kellie St. Cyr, Michelle Pence, Michael Rold, and James Honeycutt · 2012
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A biterm topic model for short texts
Xiaohui Yan, Jiafeng Guo, Yanyan Lan, and Xueqi Cheng · 2013
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Multi-objective optimization
Kalyanmoy Deb · 2014
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Distilling the knowledge in a neural network
Geoffrey Hinton, Oriol Vinyals, and Jeff Dean · 2015
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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
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Building end-to-end dialogue systems using generative hierarchical neural network models
Iulian V Serban, Alessandro Sordoni, Yoshua Bengio, Aaron Courville, and Joelle Pineau · 2016
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Deep reinforcement learning for dialogue generation
Jiwei Li, Will Monroe, Alan Ritter, Dan Jurafsky, Michel Galley, and Jianfeng Gao · 2016
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Contextual lstm (clstm) models for large scale nlp tasks
Shalini Ghosh, Oriol Vinyals, Brian Strope, Scott Roy, Tom Dean, and Larry Heck · 2016
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It doesn’t hurt to ask: Question-asking increases liking
Karen Huang, Michael Yeomans, Alison Wood Brooks, Julia Minson, and Francesca Gino · 2017
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Towards an automatic turing test: Learning to evaluate dialogue responses
Ryan Lowe, Michael Noseworthy, Iulian Vlad Serban, Nicolas Angelard-Gontier, Yoshua Bengio, and Joelle Pineau · 2017
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Learning discourse-level diversity for neural dialog models using conditional variational autoencoders
Tiancheng Zhao, Ran Zhao, and Maxine Eskenazi · 2017
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Neural net models of open-domain discourse coherence
Jiwei Li and Dan Jurafsky · 2017
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Topic aware neural response generation
Chen Xing, Wei Wu, Yu Wu, Jie Liu, Yalou Huang, Ming Zhou, and Wei-Ying Ma · 2017
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Using millions of emoji occurrences to learn any-domain representations for detecting sentiment, emotion and sarcasm
Bootstrapping a neural conversational agent with dialogue self-play, crowdsourcing and on-line reinforcement learning
Pararth Shah, Dilek Hakkani-Tur, Bing Liu, and Gokhan Tur · 2018
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Improving variational encoder-decoders in dialogue generation
Xiaoyu Shen, Hui Su, Shuzi Niu, and Vera Demberg · 2018
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Emotional chatting machine: Emotional conversation generation with internal and external memory
Hao Zhou, Minlie Huang, Tianyang Zhang, Xiaoyan Zhu, and Bing Liu · 2018
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Mojitalk: Generating emotional responses at scale
Xianda Zhou and William Yang Wang · 2018
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Automatic dialogue generation with expressed emotions
Chenyang Huang, Osmar Zaiane, Amine Trabelsi, and Nouha Dziri · 2018
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Bjarke Felbo, Alan Mislove, Anders Søgaard, Iyad Rahwan, and Sune Lehmann · 2017
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Supervised learning of universal sentence representations from natural language inference data
Alexis Conneau, Douwe Kiela, Holger Schwenk, Loïc Barrault, and Antoine Bordes · 2017
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Parlai: A dialog research software platform
Alexander H Miller, Will Feng, Adam Fisch, Jiasen Lu, Dhruv Batra, Antoine Bordes, Devi Parikh, and Jason Weston · 2017
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Adversarial learning for neural dialogue generation
Jiwei Li, Will Monroe, Tianlin Shi, Sébastien Jean, Alan Ritter, and Dan Jurafsky · 2017
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A hierarchical latent structure for variational conversation modeling
Yookoon Park, Jaemin Cho, and Gunhee Kim · 2018
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Training millions of personalized dialogue agents
Pierre-Emmanuel Mazare, Samuel Humeau, Martin Raison, and Antoine Bordes · 2018
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On evaluating and comparing conversational agents
Anu Venkatesh, Chandra Khatri, Ashwin Ram, Fenfei Guo, Raefer Gabriel, Ashish Nagar, Rohit Prasad, Ming Cheng, Behnam Hedayatnia, Angeliki Metallinou, et al · 2018
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Hannah Rashkin, Eric Michael Smith, Margaret Li, and Y-Lan Boureau · 2018
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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
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Unifying human and statistical evaluation for natural language generation
Tatsunori B Hashimoto, Hugh Zhang, and Percy Liang · 2019
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Towards empathetic open-domain conversation models: A new benchmark and dataset
Hannah Rashkin, Eric Michael Smith, Margaret Li, and Y-Lan Boureau · 2019
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Collaborative multi-agent dialogue model training via reinforcement learning
Alexandros Papangelis, Yi-Chia Wang, Piero Molino, and Gokhan Tur · 2019
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Chateval: A tool for chatbot evaluation
Joao Sedoc, Daphne Ippolito, Arun Kirubarajan, Jai Thirani, Lyle Ungar, and Chris Callison-Burch · 2019
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Hierarchical reinforcement learning for open-domain dialog
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Way off-policy batch deep reinforcement learning of implicit human preferences in dialog
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