| Gemini: a family of highly capable multimodal models G Team, R Anil, S Borgeaud, JB Alayrac, J Yu, R Soricut, J Schalkwyk, ... arXiv preprint arXiv:2312.11805, 2023 | 3227 | 2023 |
| CoNLL 2018 shared task: Multilingual parsing from raw text to universal dependencies D Zeman, J Hajic, M Popel, M Potthast, M Straka, F Ginter, J Nivre, ... Proceedings of the CoNLL 2018 Shared Task: Multilingual parsing from raw …, 2018 | 682 | 2018 |
| Revisiting readability: A unified framework for predicting text quality E Pitler, A Nenkova Proceedings of the 2008 conference on empirical methods in natural language …, 2008 | 614 | 2008 |
| Automatic sense prediction for implicit discourse relations in text E Pitler, A Louis, A Nenkova | 381 | 2009 |
| Using syntax to disambiguate explicit discourse connectives in text E Pitler, A Nenkova | 342 | 2009 |
| Synthetic QA corpora generation with roundtrip consistency C Alberti, D Andor, E Pitler, J Devlin, M Collins arXiv preprint arXiv:1906.05416, 2019 | 274 | 2019 |
| Universal Dependencies 2.2 J Nivre, M Abrams, Ž Agić, L Ahrenberg, L Antonsen, MJ Aranzabe, ... | 253 | 2018 |
| Easily identifiable discourse relations E Pitler, M Raghupathy, H Mehta, A Nenkova, A Lee, AK Joshi | 236 | 2008 |
| Measuring and reducing gendered correlations in pre-trained models K Webster, X Wang, I Tenney, A Beutel, E Pitler, E Pavlick, J Chen, E Chi, ... arXiv preprint arXiv:2010.06032, 2020 | 229 | 2020 |
| Syntactic data augmentation increases robustness to inference heuristics J Min, RT McCoy, D Das, E Pitler, T Linzen arXiv preprint arXiv:2004.11999, 2020 | 191 | 2020 |
| Automatic evaluation of linguistic quality in multi-document summarization E Pitler, A Louis, A Nenkova Proceedings of the 48th annual meeting of the Association for Computational …, 2010 | 136 | 2010 |
| Morphosyntactic tagging with a meta-BiLSTM model over context sensitive token encodings B Bohnet, R McDonald, G Simões, D Andor, E Pitler, J Maynez arXiv preprint arXiv:1805.08237, 2018 | 131 | 2018 |
| Giving BERT a calculator: Finding operations and arguments with reading comprehension D Andor, L He, K Lee, E Pitler arXiv preprint arXiv:1909.00109, 2019 | 115 | 2019 |
| New Tools for Web-Scale N-grams. D Lin, KW Church, H Ji, S Sekine, D Yarowsky, S Bergsma, K Patil, ... LREC, 2010 | 90 | 2010 |
| A simpler, intuitive approach to morpheme induction S Keshava, E Pitler Proceedings of 2nd Pascal Challenges Workshop, 31-35, 2006 | 83 | 2006 |
| Contextual query suggestion in result pages SK Imig, KW Church, JM Larchevêque, SD Paye, SP Cucerzan, EB Pitler, ... US Patent 8,275,759, 2012 | 78 | 2012 |
| The first multilingual surface realisation shared task (sr’18): Overview and evaluation results S Mille, A Belz, B Bohnet, Y Graham, E Pitler, L Wanner Proceedings of the First Workshop on Multilingual Surface Realisation, 1-12, 2018 | 67 | 2018 |
| Evaluating the impact of model scale for compositional generalization in semantic parsing L Qiu, P Shaw, P Pasupat, T Shi, J Herzig, E Pitler, F Sha, K Toutanova arXiv preprint arXiv:2205.12253, 2022 | 54 | 2022 |
| Creating robust supervised classifiers via web-scale n-gram data S Bergsma, E Pitler, D Lin Proceedings of the 48th Annual Meeting of the Association for Computational …, 2010 | 50 | 2010 |
| Using web-scale N-grams to improve base NP parsing performance E Pitler, S Bergsma, D Lin, K Church Proceedings of the 23rd international conference on computational …, 2010 | 49 | 2010 |
