Bilateral multi-perspective matching for natural language sentences Z Wang, W Hamza, R Florian arXiv preprint arXiv:1702.03814, 2017 | 911 | 2017 |
Generating paralinguistic phenomena via markup in text-to-speech synthesis AS Aaron, R Bakis, EM Eide, W Hamza US Patent 7,472,065, 2008 | 235 | 2008 |
The IBM expressive text-to-speech synthesis system for American English JF Pitrelli, R Bakis, EM Eide, R Fernandez, W Hamza, MA Picheny IEEE Transactions on Audio, Speech, and Language Processing 14 (4), 1099-1108, 2006 | 182 | 2006 |
Method, apparatus and computer program providing a multi-speaker database for concatenative text-to-speech synthesis AS Aaron, EM Eide, WM Hamza, MA Picheny, CT Rutherfoord, ... US Patent 7,716,052, 2010 | 177 | 2010 |
Leveraging context information for natural question generation L Song, Z Wang, W Hamza, Y Zhang, D Gildea Proceedings of the 2018 Conference of the North American Chapter of the …, 2018 | 174 | 2018 |
Multi-perspective context matching for machine comprehension Z Wang, H Mi, W Hamza, R Florian arXiv preprint arXiv:1612.04211, 2016 | 159 | 2016 |
Methods and computer program products for providing paraphrasing in a text-to-speech system R Bakis, EM Eide, W Hamza, MA Picheny US Patent App. 11/619,682, 2008 | 125 | 2008 |
Neural cross-lingual entity linking A Sil, G Kundu, R Florian, W Hamza Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 123 | 2018 |
Don’t parse, generate! a sequence to sequence architecture for task-oriented semantic parsing S Rongali, L Soldaini, E Monti, W Hamza Proceedings of the web conference 2020, 2962-2968, 2020 | 116 | 2020 |
A corpus-based approach to< ahem/> expressive speech synthesis E Eide, A Aaron, R Bakis, W Hamza, M Picheny, J Pitrelli 5th ISCA Speech Synthesis Workshop, 79-84, 2004 | 110 | 2004 |
Alexatm 20b: Few-shot learning using a large-scale multilingual seq2seq model S Soltan, S Ananthakrishnan, J FitzGerald, R Gupta, W Hamza, H Khan, ... arXiv preprint arXiv:2208.01448, 2022 | 88 | 2022 |
Alexa teacher model: Pretraining and distilling multi-billion-parameter encoders for natural language understanding systems J FitzGerald, S Ananthakrishnan, K Arkoudas, D Bernardi, A Bhagia, ... Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 76 | 2022 |
The IBM expressive speech synthesis system. W Hamza, E Eide, R Bakis, M Picheny, JF Pitrelli INTERSPEECH, 2577-2580, 2004 | 72 | 2004 |
A unified query-based generative model for question generation and question answering L Song, Z Wang, W Hamza arXiv preprint arXiv:1709.01058, 2017 | 69 | 2017 |
Systems and methods for text-to-speech synthesis using spoken example A Aaron, R Bakis, EM Eide, WM Hamza US Patent 8,886,538, 2014 | 69 | 2014 |
Recent improvements to the IBM trainable speech synthesis system E Eide, A Aaron, R Bakis, R Cohen, R Donovan, W Hamza, T Mathes, ... 2003 IEEE International Conference on Acoustics, Speech, and Signal …, 2003 | 60 | 2003 |
ASR n-best fusion nets X Liu, M Li, L Chen, P Wanigasekara, W Ruan, H Khan, W Hamza, C Su ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 52 | 2021 |
Current status of the IBM Trainable Speech Synthesis System. RE Donovan, A Ittycheriah, M Franz, B Ramabhadran, E Eide, ... SSW, 207, 2001 | 49 | 2001 |
Methods and apparatus for adapting output speech in accordance with context of communication EM Eide, WM Hamza, MA Picheny US Patent 7,490,042, 2009 | 48 | 2009 |
Zero-shot generalization in dialog state tracking through generative question answering S Li, J Cao, M Sridhar, H Zhu, SW Li, W Hamza, J McAuley arXiv preprint arXiv:2101.08333, 2021 | 47 | 2021 |