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Being able to recognize words as slots and detect the intent of an utterance has been a keen issue in natural language understanding.
Long short-term memory
Sepp Hochreiter and Jürgen Schmidhuber. 1997 · 1997
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Conditional random fields: Probabilistic models for segmenting and labeling sequence data
John D. Lafferty, Andrew McCallum, and Fernando C. N. Pereira. 2001 · 2001
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Understanding user’s query intent with wikipedia
Jian Hu, Gang Wang, Fred Lochovsky, Jian-tao Sun, and Zheng Chen. 2009 · 2009
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What is left to be understood in atis?
Gokhan Tur, Dilek Hakkani-Tür, and Larry Heck. 2010 · 2010
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Transforming auto-encoders
Geoffrey E Hinton, Alex Krizhevsky, and Sida D Wang. 2011 · 2011
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Lecture 6.5-rmsprop: Divide the gradient by a running average of its recent magnitude
Tijmen Tieleman and Geoffrey Hinton. 2012 · 2012
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Convolutional neural network based triangular crf for joint intent detection and slot filling
Puyang Xu and Ruhi Sarikaya. 2013 · 2013
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End-to-end memory networks with knowledge carryover for multi-turn spoken language understanding
Yun-Nung Chen, Dilek Hakkani-Tür, Gökhan Tür, Jianfeng Gao, and Li Deng. 2016 · 2016
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Long short-term memory-networks for machine reading
Jianpeng Cheng, Li Dong, and Mirella Lapata. 2016 · 2016
Cited alongside, same era.
Multi-domain joint semantic frame parsing using bi-directional rnn-lstm
Dilek Hakkani-Tür, Gökhan Tür, Asli Celikyilmaz, Yun-Nung Chen, Jianfeng Gao, Li Deng, and Ye-Yi Wang. 2016 · 2016
Cited alongside, same era.
Attention-based recurrent neural network models for joint intent detection and slot filling
Bing Liu and Ian Lane. 2016 · 2016
Cited alongside, same era.
Mining user intentions from medical queries: A neural network based heterogeneous jointly modeling approach
Chenwei Zhang, Wei Fan, Nan Du, and Philip S Yu. 2016 · 2016
Cited alongside, same era.
Dynamic routing between capsules
Sara Sabour, Nicholas Frosst, and Geoffrey E Hinton. 2017 · 2017
Cited alongside, same era.
Disan: Directional self-attention network for rnn/cnn-free language understanding
Bringing semantic structures to user intent detection in online medical queries
Chenwei Zhang, Nan Du, Wei Fan, Yaliang Li, Chun-Ta Lu, and Philip S Yu. 2017 · 2017
Later among the works it cites.
Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2018 · 2018
Closest in time.
Information aggregation via dynamic routing for sequence encoding
Jingjing Gong, Xipeng Qiu, Shaojing Wang, and Xuanjing Huang. 2018 · 2018
Closest in time.
Slot-gated modeling for joint slot filling and intent prediction
Chih-Wen Goo, Guang Gao, Yun-Kai Hsu, Chih-Li Huo, Tsung-Chieh Chen, Keng-Wei Hsu, and Yun-Nung Chen. 2018 · 2018
Closest in time.
Deep contextualized word representations
Matthew E Peters, Mark Neumann, Mohit Iyyer, Matt Gardner, Christopher Clark, Kenton Lee, and Luke Zettlemoyer. 2018 · 2018
Closest in time.
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Tao Shen, Tianyi Zhou, Guodong Long, Jing Jiang, Shirui Pan, and Chengqi Zhang. 2017 · 2017
Cited alongside, same era.
Deep semantic role labeling with self-attention
Zhixing Tan, Mingxuan Wang, Jun Xie, Yidong Chen, and Xiaodong Shi. 2017 · 2017
Cited alongside, same era.
Zero-shot user intent detection via capsule neural networks
Congying Xia, Chenwei Zhang, Xiaohui Yan, Yi Chang, and Philip S Yu. 2018 · 2018
Closest in time.
Investigating capsule networks with dynamic routing for text classification
Wei Zhao, Jianbo Ye, Min Yang, Zeyang Lei, Suofei Zhang, and Zhou Zhao. 2018 · 2018
Closest in time.