Follow
George Zweig
George Zweig
Unknown affiliation
Verified email at mit.edu
Title
Cited by
Cited by
Year
Linguistic regularities in continuous space word representations
T Mikolov, W Yih, G Zweig
Proceedings of the 2013 conference of the north american chapter of the …, 2013
54252013
Syntactic clustering of the web
AZ Broder, SC Glassman, MS Manasse, G Zweig
Computer networks and ISDN systems 29 (8-13), 1157-1166, 1997
21831997
An SU model for strong interaction symmetry and its breaking
G Zweig
CM-P00042884, 1964
20131964
From captions to visual concepts and back
H Fang, S Gupta, F Iandola, RK Srivastava, L Deng, P Dollár, J Gao, X He, ...
Proceedings of the IEEE conference on computer vision and pattern …, 2015
17032015
Context dependent recurrent neural network language model
T Mikolov, G Zweig
2012 IEEE Spoken Language Technology Workshop (SLT), 234-239, 2012
7902012
Using recurrent neural networks for slot filling in spoken language understanding
G Mesnil, Y Dauphin, K Yao, Y Bengio, L Deng, D Hakkani-Tur, X He, ...
IEEE/ACM Transactions on Audio, Speech, and Language Processing 23 (3), 530-539, 2014
7862014
Achieving human parity in conversational speech recognition
W Xiong, J Droppo, X Huang, F Seide, M Seltzer, A Stolcke, D Yu, ...
arXiv preprint arXiv:1610.05256, 2016
7342016
The origin of periodicity in the spectrum of evoked otoacoustic emissions
G Zweig, CA Shera
The Journal of the Acoustical Society of America 98 (4), 2018-2047, 1995
4801995
An introduction to computational networks and the computational network toolkit
D Yu, A Eversole, M Seltzer, K Yao, Z Huang, B Guenter, O Kuchaiev, ...
Microsoft Technical Report MSR-TR-2014–112, 2014
4762014
Recurrent neural networks for language understanding.
K Yao, G Zweig, MY Hwang, Y Shi, D Yu
Interspeech, 2524-2528, 2013
4292013
Hybrid code networks: practical and efficient end-to-end dialog control with supervised and reinforcement learning
JD Williams, K Asadi, G Zweig
arXiv preprint arXiv:1702.03274, 2017
4182017
Spoken language understanding using long short-term memory neural networks
K Yao, B Peng, Y Zhang, D Yu, G Zweig, Y Shi
2014 IEEE spoken language technology workshop (SLT), 189-194, 2014
4182014
Joint language and translation modeling with recurrent neural networks
M Auli, M Galley, C Quirk, G Zweig
Proc. of EMNLP, 2013
3712013
fMPE: Discriminatively trained features for speech recognition
D Povey, B Kingsbury, L Mangu, G Saon, H Soltau, G Zweig
Proceedings.(ICASSP'05). IEEE International Conference on Acoustics, Speech …, 2005
3712005
Speech recognition with dynamic Bayesian networks
G Zweig, S Russell
University of California, Berkeley 180, 173, 1998
3661998
Language models for image captioning: The quirks and what works
J Devlin, H Cheng, H Fang, S Gupta, L Deng, X He, G Zweig, M Mitchell
arXiv preprint arXiv:1505.01809, 2015
3492015
Assignment of semantic labels to a sequence of words using neural network architectures
A Deoras, K Yao, X He, L Deng, GG Zweig, R Sarikaya, D Yu, MY Hwang, ...
US Patent 10,867,597, 2020
2982020
Transformer-based acoustic modeling for hybrid speech recognition
Y Wang, A Mohamed, D Le, C Liu, A Xiao, J Mahadeokar, H Huang, ...
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
2772020
Method for clustering closely resembling data objects
AZ Broder, SC Glassman, CG Nelson, MS Manasse, GG Zweig
US Patent 6,119,124, 2000
2742000
The graphical models toolkit: An open source software system for speech and time-series processing
J Bilmes, G Zweig
2002 IEEE International Conference on Acoustics, Speech, and Signal …, 2002
2732002
The system can't perform the operation now. Try again later.
Articles 1–20