A study of color histogram based image retrieval R Chakravarti, X Meng 2009 sixth international conference on information technology: New …, 2009 | 144 | 2009 |
Structured pruning of a bert-based question answering model JS McCarley, R Chakravarti, A Sil arXiv preprint arXiv:1910.06360, 2019 | 94 | 2019 |
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 | 85 | 2019 |
The techqa dataset V Castelli, R Chakravarti, S Dana, A Ferritto, R Florian, M Franz, D Garg, ... arXiv preprint arXiv:1911.02984, 2019 | 49* | 2019 |
Avi Sil, Feifei Pan, Samarth Bharadwaj, and Nicolas Rodolfo Fauceglia. 2021. Capturing row and column semantics in transformer based question answering over tables M Glass, M Canim, A Gliozzo, S Chemmengath, V Kumar, R Chakravarti Proceedings of the 2021 Conference of the North American Chapter of the …, 2021 | 41 | 2021 |
Capturing row and column semantics in transformer based question answering over tables M Glass, M Canim, A Gliozzo, S Chemmengath, V Kumar, R Chakravarti, ... arXiv preprint arXiv:2104.08303, 2021 | 17 | 2021 |
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 | 16 | 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 | 10 | 2019 |
Generation-focused table-based intermediate pre-training for free-form question answering P Shi, P Ng, F Nan, H Zhu, J Wang, J Jiang, AH Li, R Chakravarti, ... Proceedings of the AAAI Conference on Artificial Intelligence 36 (10), 11312 …, 2022 | 9 | 2022 |
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 | 8 | |
Towards confident machine reading comprehension R Chakravarti, A Sil arXiv preprint arXiv:2101.07942, 2021 | 7 | 2021 |
Continuous augmentation method for ranking components in information retrieval R Chakravarti, J Navratil, B Zhou US Patent 10,747,770, 2020 | 6 | 2020 |
Multiple stage filtering for natural language query processing pipelines J Wang, Z Wang, SP Revadigar, RM Nallapati, B Xiang, SM Ash, T Jones, ... US Patent 11,500,865, 2022 | 4 | 2022 |
Improved answer selection with pre-trained word embeddings R Chakravarti, J Navratil, CN Santos arXiv preprint arXiv:1708.04326, 2017 | 4 | 2017 |
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 |
Multiple stage filtering for natural language query processing pipelines J Wang, Z Wang, SP Revadigar, RM Nallapati, B Xiang, SM Ash, T Jones, ... US Patent 11,726,997, 2023 | 2 | 2023 |
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 |
Query Focused Variable Centroid Vectors for Passage Re-ranking in Semantic Search MFM Chowdhury, V Chenthamarakshan, R Chakravarti, AM Gliozzo Proceedings of International Conference on Knowledge Discovery and Data …, 2018 | 1 | 2018 |
Ranking passages by merging features from factoid answers R Chakravarti, JW Murdock, J Navratil US Patent 10,915,560, 2021 | | 2021 |