Using Recurrent Neural Networks for Slot Filling in Spoken Language Understanding

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https://www.microsoft.com/en-us/research/publication/using-recurrent-neural-networks-for-slot-filling-in-spoken-language-understanding/

Authors Grégoire Mesnil Yann Dauphin Kaisheng Yao Yoshua Bengio Li Deng Xiaodong He Larry Heck Gokhan Tur Dilek Hakkani-Tür Dong Yu Geoffrey Zweig

Published in 2015 IEEE/ACM Transactions on Audio, Speech, and Language Processing

Experiments The standard ATIS (Airline Travel Information Systems) benchmark

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MLA Mesnil, Grégoire, et al. "Using recurrent neural networks for slot filling in spoken language understanding." IEEE/ACM Transactions on Audio, Speech, and Language Processing 23.3 (2015): 530-539.

APA Mesnil, G., Dauphin, Y., Yao, K., Bengio, Y., Deng, L., Hakkani-Tur, D., ... & Zweig, G. (2015). Using recurrent neural networks for slot filling in spoken language understanding. IEEE/ACM Transactions on Audio, Speech, and Language Processing, 23(3), 530-539.

ISO 690 MESNIL, Grégoire, et al. Using recurrent neural networks for slot filling in spoken language understanding. IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2015, 23.3: 530-539.

BibTex @article{mesnil2015using, title={Using recurrent neural networks for slot filling in spoken language understanding}, author={Mesnil, Gr{\'e}goire and Dauphin, Yann and Yao, Kaisheng and Bengio, Yoshua and Deng, Li and Hakkani-Tur, Dilek and He, Xiaodong and Heck, Larry and Tur, Gokhan and Yu, Dong and others}, journal={IEEE/ACM Transactions on Audio, Speech, and Language Processing}, volume={23}, number={3}, pages={530--539}, year={2015}, publisher={IEEE} }