Open Access
Issue |
MATEC Web Conf.
Volume 161, 2018
13th International Scientific-Technical Conference on Electromechanics and Robotics “Zavalishin’s Readings” - 2018
|
|
---|---|---|
Article Number | 01002 | |
Number of page(s) | 5 | |
Section | Keynote lectures | |
DOI | https://doi.org/10.1051/matecconf/201816101002 | |
Published online | 18 April 2018 |
- J. Niehues, T.S. Nguyen, E. Cho, T.L. Ha, K. Kilgour, M. Müller, M. Sperber, S. Stüker, A. Waibel, Interspeech 2016 2513-2517 (2016) [CrossRef] [Google Scholar]
- S. Hochreiter, J. Schmidhuber, Neural computation 9, 1735 (1997) [CrossRef] [Google Scholar]
- G. Mesnil, X. He, L. Deng, Y. Bengio, Investigation of recurrent-neural-network architectures and learning methods for spoken language understanding., in Interspeech (2013), 3771-3775 [Google Scholar]
- S. Sukhbaatar, A. Szlam, J. Weston, R. Fergus, End-To-End Memory Networks (2015), 2440-2448, http://papers.nips.cc/paper/ 5846-end-to-end-memory-networks [Google Scholar]
- A. Bordes, Y.L. Boureau, J. Weston, Learning End-to-End Goal-Oriented Dialog, in Proceedings of the International Conference on Learning Representations, ICLR 2017, Toulon, France, April 24-26, 2017 (2017), http://arxiv.org/abs/1605.07683v4 [Google Scholar]
- S. Constantin, J. Niehues, A. Waibel, An End-to-End Goal-Oriented Dialog System with a Generative Natural Language Response Generation, in Proceedings of the International Workshop on Spoken Dialogue Systems, IWSDS 2018, Singapore, Singapore, May 14-16, 2018 (forthcoming) (2018) [Google Scholar]
- R. Ruede, M. Müller, S. Stüker, A. Waibel, Yeah, Right, Uh-Huh: A Deep Learning Backchannel Predictor, in Proceedings of the Eight International Workshop on Spoken Dialogue System (IWSDS 2017) (Pittsburgh PA, U.S., 2017) [Google Scholar]
- R. Ruede, M. Müller, S. Stüker, A. Waibel, Enhancing Backchannel Prediction Using Word Embeddings, in Proceedings of INTERSPEECH (Stockholm, Sweden, 2017) [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.