| 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 | 5361 | 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 | 2179 | 1997 |
| An SU model for strong interaction symmetry and its breaking G Zweig CM-P00042884, 1964 | 1993 | 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 | 1680 | 2015 |
| 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 | 770 | 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 | 727 | 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 | 478 | 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 | 476 | 2014 |
| Recurrent neural networks for language understanding. K Yao, G Zweig, MY Hwang, Y Shi, D Yu Interspeech, 2524-2528, 2013 | 420 | 2013 |
| 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 | 412 | 2017 |
| 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 | 409 | 2014 |
| 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 | 371 | 2005 |
| Joint language and translation modeling with recurrent neural networks M Auli, M Galley, C Quirk, G Zweig Proc. of EMNLP, 2013 | 367 | 2013 |
| Speech recognition with dynamic Bayesian networks G Zweig, S Russell University of California, Berkeley 180, 173, 1998 | 365 | 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 | 347 | 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 | 281 | 2020 |
| 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 | 273 | 2002 |
| Method for clustering closely resembling data objects AZ Broder, SC Glassman, CG Nelson, MS Manasse, GG Zweig US Patent 6,119,124, 2000 | 273 | 2000 |
| 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 | 268 | 2020 |
