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Natural Language Understanding (NLU) is an established component within a conversational AI or digital assistant system, and it is responsible for producing semantic understanding of a user request.
Leverage implicit feedback for context-aware product search
Keping Bi, Choon Hui Teo, Yesh Dattatreya, et al. 2019 · 1909
Earlier work this paper cites.
Leveraging user engagement signals for entity labeling in a virtual assistant
Deepak Muralidharan, Justine Kao, Xiao Yang, et al. 2019 · 1909
Earlier work this paper cites.
Feedback-based self-learning in large-scale conversational AI agents
Pragaash Ponnusamy, Alireza Roshan Ghias, Chenlei Guo, et al. 2019 · 1911
Earlier work this paper cites.
Bidirectional recurrent neural networks
Mike Schuster and Kuldip K Paliwal. 1997 · 1997
Earlier work this paper cites.
An introduction to latent semantic analysis
Thomas Landauer, Peter Foltz, and Darrell Laham. 1998 · 1998
Earlier work this paper cites.
Foundations of Statistical Natural Language Processing
Christopher Manning and Hinrich Schutze. 1999 · 1999
Earlier work this paper cites.
Optimizing search engines using clickthrough data
Thorsten Joachims. 2002 · 2002
Earlier work this paper cites.
Adaptive web search based on user profile constructed without any effort from users
Kazunari Sugiyama, Kenji Hatano, and Masatoshi Yoshikawa. 2004 · 2004
Earlier work this paper cites.
Context-sensitive information retrieval using implicit feedback
Xuehua Shen, Bin Tan, and ChengXiang Zhai. 2005 · 2005
Earlier work this paper cites.
Corpus-based and knowledge-based measures of text semantic similarity
Rada Mihalcea, Courtney Corley, Carlo Strapparava, et al. 2006 · 2006
Earlier work this paper cites.
Collaborative filtering for implicit feedback datasets
Yifan Hu, Yehuda Koren, and Chris Volinsky. 2008 · 2008
Earlier work this paper cites.
Personalized news recommendation based on click behavior
Jiahui Liu, Peter Dolan, and Elin Rønby Pedersen. 2010 · 2010
Earlier work this paper cites.
BPR: Bayesian personalized ranking from implicit feedback
Steffen Rendle, Christoph Freudenthaler, Zeno Gantner, et al. 2012 · 2012
Earlier work this paper cites.
Extending domain coverage of language understanding systems via intent transfer between domains using knowledge graphs and search query click logs
Ali El-Kahky, Xiaohu Liu, Ruhi Sarikaya, et al. 2014 · 2014
Earlier work this paper cites.
Convolutional neural network architectures for matching natural language sentences
Baotian Hu, Zhengdong Lu, Hang Li, et al. 2014 · 2014
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Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba. 2014 · 2014
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Stefan Ultes and Wolfgang Minker. 2014 · 2014
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Jiepu Jiang, Ahmed Hassan Awadallah, Rosie Jones, et al. 2015 · 2015
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Rupesh Kumar Srivastava, Klaus Greff, and Jürgen Schmidhuber. 2015 · 2015
Cited alongside, same era.
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Jose Camacho-Collados and Mohammad Taher Pilehvar. 2018 · 2018
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Neural approaches to conversational AI
Jianfeng Gao, Michel Galley, and Lihong Li. 2018 · 2018
Later among the works it cites.
Next-generation of virtual personal assistants (Microsoft Cortana, Apple Siri, Amazon Alexa and Google Home)
Veton Kepuska and Gamal Bohouta. 2018 · 2018
Later among the works it cites.
Factorization machines for data with implicit feedback
Babak Loni, Martha Larson, and Alan Hanjalic. 2018 · 2018
Later among the works it cites.
Learning from chunk-based feedback in neural machine translation
Pavel Petrushkov, Shahram Khadivi, and Evgeny Matusov. 2018 · 2018
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