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
5439 2013 Syntactic clustering of the web AZ Broder, SC Glassman, MS Manasse, G Zweig
Computer networks and ISDN systems 29 (8-13), 1157-1166, 1997
2175 1997 An SU G Zweig
CM-P00042884, 1964
1727 1964 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
1700 2015 The quark model M Gellmann, G Zweig
International Journal of Modern Physics A 28, 1330016, 2013
954 2013 Context dependent recurrent neural network language model T Mikolov, G Zweig
2012 IEEE Spoken Language Technology Workshop (SLT), 234-239, 2012
788 2012 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
786 2014 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
730 2016 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
481 1995 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
473 2014 Recurrent neural networks for language understanding. K Yao, G Zweig, MY Hwang, Y Shi, D Yu
Interspeech, 2524-2528, 2013
423 2013 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
419 2014 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
416 2017 model for strong interaction symmetry and its breaking. Version 1 G Zweig, SU An
CERN-TH-401, 1964
383 1964 Joint language and translation modeling with recurrent neural networks M Auli, M Galley, C Quirk, G Zweig
Proc. of EMNLP, 2013
368 2013 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
368 2005 Speech recognition with dynamic Bayesian networks G Zweig, S Russell
University of California, Berkeley 180, 173, 1998
367 1998 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
348 2015 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
312 2020 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
280 2020 