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Intent Detection and Slot Filling are two pillar tasks in Spoken Natural Language Understanding.
Frames and the semantics of understanding
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The atis spoken language systems pilot corpus
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Long short-term memory
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What is left to be understood in atis?
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Deep belief network based semantic taggers for spoken language understanding
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Convolutional neural network based triangular crf for joint intent detection and slot filling
P. Xu and R. Sarikaya. 2013 · 2013
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Neural machine translation by jointly learning to align and translate
Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio. 2014 · 2014
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Adam: A method for stochastic optimization
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Sequence to sequence learning with neural networks
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Recurrent neural network structured output prediction for spoken language understanding
Bing Liu and Ian Lane. 2015 · 2015
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin. 2017 · 2017
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Zero-shot learning-the good, the bad and the ugly
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Alice Coucke, Alaa Saade, Adrien Ball, Théodore Bluche, Alexandre Caulier, David Leroy, Clément Doumouro, Thibault Gisselbrecht, Francesco Caltagirone, Thibaut Lavril, Maël Primet, and Joseph Dureau. 2018 · 2018
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BERT: pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2018 · 2018
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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
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Using recurrent neural networks for slot filling in spoken language understanding
Grégoire Mesnil, Yann Dauphin, Kaisheng Yao, Yoshua Bengio, Li Deng, Dilek Hakkani-Tür, Xiaodong He, Larry Heck, Gokhan Tur, Dong Yu, and Geoffrey Zweig. 2015 · 2015
Cited alongside, same era.
End-to-end memory networks
Sainbayar Sukhbaatar, Jason Weston, Rob Fergus, et al. 2015 · 2015
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End-to-end memory networks with knowledge carryover for multi-turn spoken language understanding
Yun-Nung Vivian Chen, Dilek Hakkani-Tür, Gokhan Tur, Jianfeng Gao, and Li Deng. 2016 · 2016
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Multi-domain joint semantic frame parsing using bi-directional rnn-lstm
Dilek Z. Hakkani-Tür, Gökhan Tür, Asli Çelikyilmaz, Yun-Nung Chen, Jianfeng Gao, Li Deng, and Ye-Yi Wang. 2016 · 2016
Cited alongside, same era.
Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun. 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
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Deep contextualized word representations
Matthew E. Peters, Mark Neumann, Mohit Iyyer, Matt Gardner, Christopher Clark, Kenton Lee, and Luke Zettlemoyer. 2018 · 2018
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Improving language understanding with unsupervised learning
Alec Radford, Karthik Narasimhan, Tim Salimans, and Ilya Sutskever. 2018 · 2018
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A bi-model based rnn semantic frame parsing model for intent detection and slot filling
Yu Wang, Yilin Shen, and Hongxia Jin. 2018 · 2018
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Zero-shot user intent detection via capsule neural networks
Congying Xia, Chenwei Zhang, Xiaohui Yan, Yi Chang, and Philip Yu. 2018 · 2018
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Joint slot filling and intent detection via capsule neural networks
Chenwei Zhang, Yaliang Li, Nan Du, Wei Fan, and Philip S. Yu. 2018 · 2018
Later among the works it cites.