| Span selection pre-training for question answering M Glass, A Gliozzo, R Chakravarti, A Ferritto, L Pan, GP Bhargav, D Garg, ... arXiv preprint arXiv:1909.04120, 2019 | 79 | 2019 |
| Multi-stage pre-training for low-resource domain adaptation R Zhang, RG Reddy, MA Sultan, V Castelli, A Ferritto, R Florian, ES Kayi, ... arXiv preprint arXiv:2010.05904, 2020 | 33 | 2020 |
| The techqa dataset V Castelli, R Chakravarti, S Dana, A Ferritto, R Florian, M Franz, D Garg, ... arXiv preprint arXiv:1911.02984, 2019 | 29 | 2019 |
| Towards building a robust industry-scale question answering system R Chakravarti, A Ferritto, B Iyer, L Pan, R Florian, S Roukos, A Sil Proceedings of the 28th International Conference on Computational …, 2020 | 17 | 2020 |
| Frustratingly easy natural question answering L Pan, R Chakravarti, A Ferritto, M Glass, A Gliozzo, S Roukos, R Florian, ... arXiv preprint arXiv:1909.05286, 2019 | 12 | 2019 |
| CFO: A framework for building production NLP systems R Chakravarti, C Pendus, A Sakrajda, A Ferritto, L Pan, M Glass, ... arXiv preprint arXiv:1908.06121, 2019 | 9 | 2019 |
| Avi Sil, Rosario Uceda-Sosa, Todd Ward, and Rong Zhang. 2020. The TechQA dataset V Castelli, R Chakravarti, S Dana, A Ferritto, R Florian, M Franz, D Garg, ... Proceedings of the 58th Annual Meeting of the Association for Computational …, 0 | 6 | |
| Avi Sil, and Todd Ward. Multi-stage pre-training for low-resource domain adaptation R Zhang, RG Reddy, MA Sultan, V Castelli, A Ferritto, R Florian, ES Kayi, ... Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 0 | 5 | |
| VAULT: variable unified long text representation for machine reading comprehension H Wen, A Ferritto, H Ji, R Florian, A Sil arXiv preprint arXiv:2105.03229, 2021 | 3 | 2021 |
| A multilingual reading comprehension system for more than 100 languages A Ferritto, S Rosenthal, M Bornea, K Hasan, R Chakravarti, S Roukos, ... Proceedings of the 28th International Conference on Computational …, 2020 | 3 | 2020 |
| Online question answering, using reading comprehension with an ensemble of models A Ferritto, R Florian, JW Murdock IV, A Sil US Patent App. 17/384,690, 2023 | 2 | 2023 |
| SPARTAN: sparse hierarchical memory for parameter-efficient transformers A Deshpande, MA Sultan, A Ferritto, A Kalyan, K Narasimhan, A Sil arXiv preprint arXiv:2211.16634, 2022 | 1 | 2022 |
| ARES: A Reading Comprehension Ensembling Service A Ferritto, L Pan, R Chakravarti, S Roukos, R Florian, JW Murdock, A Sil Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020 | 1 | 2020 |
| GAAMA 2.0: an integrated system that answers boolean and extractive questions S McCarley, M Bornea, S Rosenthal, A Ferritto, MA Sultan, A Sil, R Florian Proceedings of the AAAI Conference on Artificial Intelligence 37 (13), 16461 …, 2023 | | 2023 |
| Ensembling Strategies for Answering Natural Questions A Ferritto, L Pan, R Chakravarti, S Roukos, R Florian, JW Murdock, A Sil arXiv preprint arXiv:1911.00337, 2019 | | 2019 |
| P-wave Classification: An Investigation of Geophysical and Machine Learning Approaches A Ferritto Rensselaer Polytechnic Institute, 2018 | | 2018 |
| Avi Sil, and Todd Ward. 2020. Multi-stage pre-training for low-resource domain adaptation R Zhang, RG Reddy, MA Sultan, V Castelli, A Ferritto, R Florian, ES Kayi, ... Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 0 | | |
