| 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 | 106 | 2020 |
| Unsupervised parsing with S-DIORA: Single tree encoding for deep inside-outside recursive autoencoders A Drozdov, S Rongali, YP Chen, T O’Gorman, M Iyyer, A McCallum Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020 | 28 | 2020 |
| Exploring transfer learning for end-to-end spoken language understanding S Rongali, B Liu, L Cai, K Arkoudas, C Su, W Hamza Proceedings of the AAAI Conference on Artificial Intelligence 35 (15), 13754 …, 2021 | 22 | 2021 |
| Learning latent space representations to predict patient outcomes: Model development and validation S Rongali, AJ Rose, DD McManus, AS Bajracharya, A Kapoor, E Granillo, ... Journal of Medical Internet Research 22 (3), e16374, 2020 | 19 | 2020 |
| Training naturalized semantic parsers with very little data S Rongali, K Arkoudas, M Rubino, W Hamza arXiv preprint arXiv:2204.14243, 2022 | 13 | 2022 |
| Estimating return on investment for grid scale storage within the economic dispatch framework K Dasgupta, J Hazra, S Rongali, M Padmanaban 2015 IEEE Innovative Smart Grid Technologies-Asia (ISGT ASIA), 1-6, 2015 | 13 | 2015 |
| Prevalence of frailty and associations with oral anticoagulant prescribing in atrial fibrillation SR Sanghai, W Liu, W Wang, S Rongali, AR Orkaby, JS Saczynski, ... Journal of general internal medicine 37 (4), 730-736, 2022 | 12 | 2022 |
| iPlug: Decentralised dispatch of distributed generation S Rongali, T Ganuy, M Padmanabhan, V Arya, S Kalyanaraman, MI Petra 2016 8th International Conference on Communication Systems and Networks …, 2016 | 12 | 2016 |
| A context vector regression based approach for demand forecasting in district heating networks S Rongali, AR Choudhury, V Chandan, V Arya 2015 IEEE Innovative Smart Grid Technologies-Asia (ISGT ASIA), 1-6, 2015 | 10 | 2015 |
| Continual domain-tuning for pretrained language models S Rongali, A Jagannatha, BPS Rawat, H Yu arXiv preprint arXiv:2004.02288, 2020 | 9 | 2020 |
| Improved latent tree induction with distant supervision via span constraints Z Xu, A Drozdov, JY Lee, T O'Gorman, S Rongali, D Finkbeiner, S Suresh, ... arXiv preprint arXiv:2109.05112, 2021 | 6 | 2021 |
| Improved pretraining for domain-specific contextual embedding models S Rongali, A Jagannatha, BPS Rawat, H Yu arXiv preprint arXiv:2004.02288, 2020 | 5 | 2020 |
| Compressing transformer-based semantic parsing models using compositional code embeddings P Prakash, SK Shashidhar, W Zhao, S Rongali, H Khan, M Kayser arXiv preprint arXiv:2010.05002, 2020 | 4 | 2020 |
| A socially aware incentive strategy for encouraging residential solar uptake in Brunei H Khadilkar, P Kumar, S Rongali, S Dechu, MIPH Petra 2015 IEEE International Conference on Smart Grid Communications …, 2015 | 3 | 2015 |
| From multiple views to single view: A neural network approach S Rongali, AP Sarath Chandar, B Ravindran Proceedings of the 2nd ACM IKDD Conference on Data Sciences, 104-109, 2015 | 2 | 2015 |
| Intentional self-harm among US veterans with traumatic brain injury or posttraumatic stress disorder: retrospective cohort study from 2008 to 2017 BPS Rawat, J Reisman, TK Pogoda, W Liu, S Rongali, RH Aseltine Jr, ... JMIR public health and surveillance 9, e42803, 2023 | 1 | 2023 |
| Speech processing B Liu, W Hamza, L Cai, K Arkoudas, C Su, S Rongali US Patent 11,682,400, 2023 | 1 | 2023 |
| Low-Resource Compositional Semantic Parsing with Concept Pretraining S Rongali, M Sridhar, H Khan, K Arkoudas, W Hamza, A McCallum arXiv preprint arXiv:2301.09809, 2023 | 1 | 2023 |
| Low Resource Language Understanding in Voice Assistants S Rongali | 1 | 2022 |
| Speech processing B Liu, W Hamza, L Cai, K Arkoudas, C Su, S Rongali US Patent App. 18/324,440, 2023 | | 2023 |
Wael HamzaAmazonVerified email at amazon.com
