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Spoken language understanding system is traditionally designed as a pipeline of a number of components.
“The ATIS spoken language systems pilot corpus,”
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“Long short-term memory,”
Sepp Hochreiter and Jürgen Schmidhuber, · 1997
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Spoken language understanding: Systems for extracting semantic information from speech
Gokhan Tur and Renato De Mori, · 2011
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“Natural language processing (almost) from scratch,”
Ronan Collobert, Jason Weston, Léon Bottou, Michael Karlen, Koray Kavukcuoglu, and Pavel Kuksa, · 2011
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“Towards deeper understanding: Deep convex networks for semantic utterance classification,”
Gokhan Tur, Li Deng, Dilek Hakkani-Tür, and Xiaodong He, · 2012
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“A reranking approach for recognition and classification of speech input in conversational dialogue systems,”
Fabrizio Morbini, Kartik Audhkhasi, Ron Artstein, Maarten Van Segbroeck, Kenji Sagae, Panayiotis Georgiou, David R Traum, and Shri Narayanan, · 2012
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“Sequence transduction with recurrent neural networks,”
Alex Graves, · 2012
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“Easy contextual intent prediction and slot detection,”
Aditya Bhargava, Asli Celikyilmaz, Dilek Hakkani-Tür, and Ruhi Sarikaya, · 2013
Earlier work this paper cites.
“Contextual domain classification in spoken language understanding systems using recurrent neural network,”
Puyang Xu and Ruhi Sarikaya, · 2014
Earlier work this paper cites.
“Recurrent neural networks for language understanding,”
Kaisheng Yao, Geoffrey Zweig, Mei-Yuh Hwang, Yangyang Shi, and Dong Yu, · 2014
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“Application of deep belief networks for natural language understanding,”
Ruhi Sarikaya, Geoffrey E Hinton, and Anoop Deoras, · 2014
Cited alongside, same era.
“Sequence to sequence learning with neural networks,”
Ilya Sutskever, Oriol Vinyals, and Quoc V Le, · 2014
Cited alongside, same era.
“Neural machine translation by jointly learning to align and translate,”
Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio, · 2014
Cited alongside, same era.
“Long short-term memory recurrent neural network architectures for large scale acoustic modeling,”
Haşim Sak, Andrew Senior, and Françoise Beaufays, · 2014
Cited alongside, same era.
“Empirical evaluation of gated recurrent neural networks on sequence modeling,”
Junyoung Chung, Caglar Gulcehre, KyungHyun Cho, and Yoshua Bengio, · 2014
Cited alongside, same era.
“Recurrent convolutional neural networks for text classification,”
Siwei Lai, Liheng Xu, Kang Liu, and Jun Zhao, · 2015
Later among the works it cites.
“Wavenet: A generative model for raw audio,”
Aaron van den Oord, Sander Dieleman, Heiga Zen, Karen Simonyan, Oriol Vinyals, Alex Graves, Nal Kalchbrenner, Andrew Senior, and Koray Kavukcuoglu, · 2016
Later among the works it cites.
“Deep speech 2: End-to-end speech recognition in English and Mandarin,”
Dario Amodei, Sundaram Ananthanarayanan, Rishita Anubhai, Jingliang Bai, Eric Battenberg, Carl Case, Jared Casper, Bryan Catanzaro, Qiang Cheng, Guoliang Chen, et al., · 2016
Later among the works it cites.
“Listen, attend and spell: A neural network for large vocabulary conversational speech recognition,”
William Chan, Navdeep Jaitly, Quoc Le, and Oriol Vinyals, · 2016
Later among the works it cites.
“Neural speech recognizer: acoustic-to-word LSTM model for large vocabulary speech recognition,”
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“Adam: A method for stochastic optimization,”
Diederik Kingma and Jimmy Ba, · 2014
Cited alongside, same era.
“Recurrent neural network and LSTM models for lexical utterance classification,”
Suman V Ravuri and Andreas Stolcke, · 2015
Cited alongside, same era.
“Show, attend and tell: Neural image caption generation with visual attention,”
Kelvin Xu, Jimmy Ba, Ryan Kiros, Kyunghyun Cho, Aaron Courville, Ruslan Salakhudinov, Rich Zemel, and Yoshua Bengio, · 2015
Cited alongside, same era.
“Attention-based models for speech recognition,”
Jan K Chorowski, Dzmitry Bahdanau, Dmitriy Serdyuk, Kyunghyun Cho, and Yoshua Bengio, · 2015
Cited alongside, same era.
“Batch normalization: Accelerating deep network training by reducing internal covariate shift,”
Sergey Ioffe and Christian Szegedy, · 2015
Cited alongside, same era.
Hagen Soltau, Hank Liao, and Hasim Sak, · 2016
Later among the works it cites.
“End-to-end attention-based large vocabulary speech recognition,”
Dzmitry Bahdanau, Jan Chorowski, Dmitriy Serdyuk, Philemon Brakel, and Yoshua Bengio, · 2016
Later among the works it cites.
“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
Later among the works it cites.
“Convolutional sequence to sequence learning,”
Jonas Gehring, Michael Auli, David Grangier, Denis Yarats, and Yann N Dauphin, · 2017
Later among the works it cites.
“Exploring neural transducers for end-to-end speech recognition,”
Eric Battenberg, Jitong Chen, Rewon Child, Adam Coates, Yashesh Gaur, Yi Li, Hairong Liu, Sanjeev Satheesh, David Seetapun, Anuroop Sriram, and Zhenyao Zhu, · 2017
Later among the works it cites.