| Natural questions: a benchmark for question answering research T Kwiatkowski, J Palomaki, O Redfield, M Collins, A Parikh, C Alberti, ... Transactions of the Association for Computational Linguistics 7, 453-466, 2019 | 1395 | 2019 |
| Big bird: Transformers for longer sequences M Zaheer, G Guruganesh, KA Dubey, J Ainslie, C Alberti, S Ontanon, ... Advances in neural information processing systems 33, 17283-17297, 2020 | 1103 | 2020 |
| Globally normalized transition-based neural networks D Andor, C Alberti, D Weiss, A Severyn, A Presta, K Ganchev, S Petrov, ... arXiv preprint arXiv:1603.06042, 2016 | 678 | 2016 |
| Structured training for neural network transition-based parsing D Weiss, C Alberti, M Collins, S Petrov arXiv preprint arXiv:1506.06158, 2015 | 279 | 2015 |
| ETC: Encoding long and structured inputs in transformers J Ainslie, S Ontanon, C Alberti, V Cvicek, Z Fisher, P Pham, A Ravula, ... arXiv preprint arXiv:2004.08483, 2020 | 218 | 2020 |
| Synthetic QA corpora generation with roundtrip consistency C Alberti, D Andor, E Pitler, J Devlin, M Collins arXiv preprint arXiv:1906.05416, 2019 | 187 | 2019 |
| Fusion of detected objects in text for visual question answering C Alberti, J Ling, M Collins, D Reitter arXiv preprint arXiv:1908.05054, 2019 | 172 | 2019 |
| A bert baseline for the natural questions C Alberti, K Lee, M Collins arXiv preprint arXiv:1901.08634, 2019 | 117 | 2019 |
| Corpora generation for grammatical error correction J Lichtarge, C Alberti, S Kumar, N Shazeer, N Parmar, S Tong arXiv preprint arXiv:1904.05780, 2019 | 112 | 2019 |
| An audio indexing system for election video material C Alberti, M Bacchiani, A Bezman, C Chelba, A Drofa, H Liao, P Moreno, ... 2009 IEEE International Conference on Acoustics, Speech and Signal …, 2009 | 85 | 2009 |
| Neurips 2020 efficientqa competition: Systems, analyses and lessons learned S Min, J Boyd-Graber, C Alberti, D Chen, E Choi, M Collins, K Guu, ... NeurIPS 2020 Competition and Demonstration Track, 86-111, 2021 | 53 | 2021 |
| Improved transition-based parsing and tagging with neural networks C Alberti, D Weiss, G Coppola, S Petrov | 51 | 2015 |
| Qed: A framework and dataset for explanations in question answering M Lamm, J Palomaki, C Alberti, D Andor, E Choi, LB Soares, M Collins Transactions of the Association for computational Linguistics 9, 790-806, 2021 | 43 | 2021 |
| SyntaxNet models for the CoNLL 2017 shared task C Alberti, D Andor, I Bogatyy, M Collins, D Gillick, L Kong, T Koo, J Ma, ... arXiv preprint arXiv:1703.04929, 2017 | 34 | 2017 |
| Dragnn: A transition-based framework for dynamically connected neural networks L Kong, C Alberti, D Andor, I Bogatyy, D Weiss arXiv preprint arXiv:1703.04474, 2017 | 33 | 2017 |
| Data weighted training strategies for grammatical error correction J Lichtarge, C Alberti, S Kumar Transactions of the Association for Computational Linguistics 8, 634-646, 2020 | 29 | 2020 |
| Decision tree state clustering with word and syllable features H Liao, C Alberti, M Bacchiani, O Siohan | 14 | 2010 |
| ETC: Encoding long and structured inputs in transformers A Ravula, C Alberti, J Ainslie, L Yang, PM Pham, Q Wang, S Ontanon, ... | 13 | 2020 |
| QAmeleon: Multilingual QA with Only 5 Examples P Agrawal, C Alberti, F Huot, J Maynez, J Ma, S Ruder, K Ganchev, D Das, ... arXiv preprint arXiv:2211.08264, 2022 | 7 | 2022 |
| Detection of roadway sign condition changes using multi-scale sign image matching (M-SIM) Y Tsai, Z Hu, C Alberti Photogrammetric engineering and remote sensing 76 (4), 2010 | 7 | 2010 |
