| 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 | 561 | 2016 |
| 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 | 337 | 2019 |
| Structured training for neural network transition-based parsing D Weiss, C Alberti, M Collins, S Petrov arXiv preprint arXiv:1506.06158, 2015 | 237 | 2015 |
| Synthetic QA corpora generation with roundtrip consistency C Alberti, D Andor, E Pitler, J Devlin, M Collins arXiv preprint arXiv:1906.05416, 2019 | 58 | 2019 |
| A bert baseline for the natural questions C Alberti, K Lee, M Collins arXiv preprint arXiv:1901.08634, 2019 | 58 | 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 | 55 | 2019 |
| Big bird: Transformers for longer sequences M Zaheer, G Guruganesh, A Dubey, J Ainslie, C Alberti, S Ontanon, ... arXiv preprint arXiv:2007.14062, 2020 | 50 | 2020 |
| Improved transition-based parsing and tagging with neural networks C Alberti, D Weiss, G Coppola, S Petrov Proceedings of the 2015 Conference on Empirical Methods in Natural Language …, 2015 | 43 | 2015 |
| Corpora generation for grammatical error correction J Lichtarge, C Alberti, S Kumar, N Shazeer, N Parmar, S Tong arXiv preprint arXiv:1904.05780, 2019 | 39 | 2019 |
| 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 | 30 | 2017 |
| 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 | 27 | 2017 |
| Decision tree state clustering with word and syllable features H Liao, C Alberti, M Bacchiani, O Siohan | 13 | 2010 |
| Detection of roadway sign condition changes using multi-scale sign image matching (M-SIM) YJ Tsai, Z Hu, C Alberti Photogrammetric Engineering & Remote Sensing 76 (4), 391-405, 2010 | 7 | 2010 |
| Qed: A framework and dataset for explanations in question answering M Lamm, J Palomaki, C Alberti, D Andor, E Choi, LB Soares, M Collins arXiv preprint arXiv:2009.06354, 2020 | 6 | 2020 |
| A two dimensional simulation of microtubule dynamics KY Kong, AI Marcus, P Giannakakou, C Alberti, MD Wang 2008 International Conference on Information Technology and Applications in …, 2008 | 3 | 2008 |
| NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned S Min, J Boyd-Graber, C Alberti, D Chen, E Choi, M Collins, K Guu, ... arXiv preprint arXiv:2101.00133, 2021 | 2 | 2021 |
| ETC: Encoding long and structured data in transformers J Ainslie, S Ontanon, C Alberti, P Pham, A Ravula, S Sanghai arXiv preprint arXiv:2004.08483, 2020 | 2 | 2020 |
| ETC: Encoding Long and Structured Inputs in Transformers A Ravula, C Alberti, J Ainslie, L Yang, PM Pham, Q Wang, S Ontanon, ... | 2 | 2020 |
| Discriminative features for language identification C Alberti, M Bacchiani Twelfth Annual Conference of the International Speech Communication Association, 2011 | 2 | 2011 |
| ETC: Encoding Long and Structured Inputs in Transformers J Ainslie, S Ontanon, C Alberti, V Cvicek, Z Fisher, P Pham, A Ravula, ... Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020 | 1 | 2020 |
