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Dialogue systems, also called chatbots, are now used in a wide range of applications.
Building an Application Independent Natural Language Interface
Mazumder, S.; Liu, B.; Wang, S.; and Esmaeilpour, S. 2019a · 1910
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Understanding natural language
Winograd, T. 1972 · 1972
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Learning to parse database queries using inductive logic programing
Zelle, J. M.; and Mooney, R. J. 1996 · 1996
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Lifelong learning algorithms
Thrun, S. 1998 · 1998
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Let’s Go Public! Taking a spoken dialog system to the real world
Raux, A.; Langner, B.; Bohus, D.; Black, A. W.; and Eskenazi, M. 2005 · 2005
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Learning to map sentences to logical form: structured classification with probabilistic categorial grammars
Zettlemoyer, L. S.; and Collins, M. 2005 · 2005
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Walk the talk: Connecting language, knowledge, and action in route instructions
MacMahon, M.; Stankiewicz, B.; and Kuipers, B. 2006 · 2006
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Partially observable Markov decision processes for spoken dialog systems
Williams, J. D.; and Young, S. 2007 · 2007
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Reinforcement learning for mapping instructions to actions
Branavan, S. R.; Chen, H.; Zettlemoyer, L. S.; and Barzilay, R. 2009 · 2009
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Learning to follow navigational directions
Vogel, A.; and Jurafsky, D. 2010 · 2010
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Weakly supervised learning of semantic parsers for mapping instructions to actions
Artzi, Y.; and Zettlemoyer, L. 2013 · 2013
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Generating More Specific Questions for Acquiring Attributes of Unknown Concepts from Users
Otsuka, T.; Komatani, K.; Sato, S.; and Nakano, M. 2013 · 2013
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ELLA: An efficient lifelong learning algorithm
Ruvolo, P.; and Eaton, E. 2013 · 2013
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Lifelong machine learning systems: Beyond learning algorithms
Silver, D. L.; Yang, Q.; and Li, L. 2013 · 2013
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Topic modeling using topics from many domains, lifelong learning and big data
Chen, Z.; and Liu, B. 2014 · 2014
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Alignment-Based Compositional Semantics for Instruction Following
Andreas, J.; and Klein, D. 2015 · 2015
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Neural Responding Machine for Short-Text Conversation
Shang, L.; Lu, Z.; and Li, H. 2015 · 2015
Cited alongside, same era.
A Neural Network Approach to Context-Sensitive Generation of Conversational Responses
Sordoni, A.; Galley, M.; Auli, M.; Brockett, C.; Ji, Y.; Mitchell, M.; Nie, J.-Y.; Gao, J.; and Dolan, B. 2015 · 2015
Cited alongside, same era.
Vinyals, O.; and Le, Q. 2015 · 2015
Cited alongside, same era.
LSTM-based Mixture-of-Experts for Knowledge-Aware Dialogues
Le, P.; Dymetman, M.; and Renders, J.-M. 2016 · 2016
Cited alongside, same era.
Deep Reinforcement Learning for Dialogue Generation
Li, J.; Monroe, W.; Ritter, A.; Jurafsky, D.; Galley, M.; and Gao, J. 2016 · 2016
Cited alongside, same era.
Toward Lexical Acquisition during Dialogues through Implicit Confirmation for Closed-Domain Chatbots
Topic aware neural response generation
Xing, C.; Wu, W.; Wu, Y.; Liu, J.; Huang, Y.; Zhou, M.; and Ma, W.-Y. 2017 · 2017
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Building emotional conversation systems using multi-task Seq2Seq learning
Zhang, R.; Wang, Z.; and Mai, D. 2017 · 2017
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Lifelong machine learning
Chen, Z.; and Liu, B. 2018 · 2018
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Speaker-follower models for vision-and-language navigation
Fried, D.; Hu, R.; Cirik, V.; Rohrbach, A.; Andreas, J.; Morency, L.-P.; Berg-Kirkpatrick, T.; Saenko, K.; Klein, D.; and Darrell, T. 2018 · 2018
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A knowledge-grounded neural conversation model
Ghazvininejad, M.; Brockett, C.; Chang, M.-W.; Dolan, B.; Gao, J.; Yih, W.-t.; and Galley, M. 2018 · 2018
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Natural Language Data Management and Interfaces
Li, Y.; and Rafiei, D. 2018 · 2018
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Ono, K.; Takeda, R.; Nichols, E.; Nakano, M.; and Komatani, K. 2016 · 2016
Cited alongside, same era.
Building end-to-end dialogue systems using generative hierarchical neural network models
Serban, I. V.; Sordoni, A.; Bengio, Y.; Courville, A.; and Pineau, J. 2016 · 2016
Cited alongside, same era.
Learning language games through interaction
Wang, S. I.; Liang, P.; and Manning, C. D. 2016 · 2016
Cited alongside, same era.
Key-value retrieval networks for task-oriented dialogue
Eric, M.; and Manning, C. D. 2017 · 2017
Cited alongside, same era.
A knowledge enhanced generative conversational service agent
Long, Y.; Wang, J.; Xu, Z.; Wang, Z.; Wang, B.; and Wang, Z. 2017 · 2017
Cited alongside, same era.
Mapping Instructions and Visual Observations to Actions with Reinforcement Learning
Misra, D.; Langford, J.; and Artzi, Y. 2017 · 2017
Cited alongside, same era.
Lexical acquisition through implicit confirmations over multiple dialogues
Ono, K.; Takeda, R.; Nichols, E.; Nakano, M.; and Komatani, K. 2017 · 2017
Cited alongside, same era.
Mem2Seq: Effectively Incorporating Knowledge Bases into End-to-End Task-Oriented Dialog Systems
Madotto, A.; Wu, C.-S.; and Fung, P. 2018 · 2018
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Towards a continuous knowledge learning engine for chatbots
Mazumder, S.; Ma, N.; and Liu, B. 2018 · 2018
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Emotional human machine conversation generation based on SeqGAN
Sun, X.; Chen, X.; Pei, Z.; and Ren, F. 2018 · 2018
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Augmenting end-to-end dialogue systems with commonsense knowledge
Young, T.; Cambria, E.; Chaturvedi, I.; Zhou, H.; Biswas, S.; and Huang, M. 2018 · 2018
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Semeval-2019 task 3: Emocontext contextual emotion detection in text
Chatterjee, A.; Narahari, K. N.; Joshi, M.; and Agrawal, P. 2019 · 2019
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Learning from Dialogue after Deployment: Feed Yourself, Chatbot!
Hancock, B.; Bordes, A.; Mazare, P.-E.; and Weston, J. 2019 · 2019
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Topic-enhanced emotional conversation generation with attention mechanism
Peng, Y.; Fang, Y.; Xie, Z.; and Zhou, G. 2019 · 2019
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Learning on the Job: Online Lifelong and Continual Learning
Liu, B. 2020 · 2020
Closest in time.
Robots that use language
Tellex, S.; Gopalan, N.; Kress-Gazit, H.; and Matuszek, C. 2020 · 2020
Closest in time.