| Gender Bias in Contextualized Word Embeddings J Zhao, T Wang, M Yatskar, R Cotterell, V Ordonez, KW Chang arXiv preprint arXiv:1904.03310, 2019 | 273 | 2019 |
| The SIGMORPHON 2016 Shared Task—Morphological Reinflection R Cotterell, C Kirov, J Sylak-Glassman, D Yarowsky, J Eisner, M Hulden ACL 2016, 10, 2016 | 228 | 2016 |
| The CoNLL--SIGMORPHON 2018 Shared Task: Universal Morphological Reinflection R Cotterell, C Kirov, J Sylak-Glassman, G Walther, E Vylomova, ... arXiv preprint arXiv:1810.07125, 2018 | 221 | 2018 |
| Counterfactual Data Augmentation for Mitigating Gender Stereotypes in Languages with Rich Morphology R Zmigrod, SJ Mielke, H Wallach, R Cotterell arXiv preprint arXiv:1906.04571, 2019 | 156 | 2019 |
| Joint Lemmatization and Morphological Tagging with Lemming T Müller, R Cotterell, A Fraser, H Schütze Empirical Methods in Natural Language Processing, 2015 | 141 | 2015 |
| Morphological Word Embeddings R Cotterell, H Schütze arXiv preprint arXiv:1907.02423, 2019 | 136 | 2019 |
| UniMorph 2.0: Universal Morphology C Kirov, R Cotterell, J Sylak-Glassman, G Walther, E Vylomova, P Xia, ... arXiv preprint arXiv:1810.11101, 2018 | 126 | 2018 |
| Information-theoretic Probing for Linguistic Structure T Pimentel, J Valvoda, RH Maudslay, R Zmigrod, A Williams, R Cotterell arXiv preprint arXiv:2004.03061, 2020 | 121 | 2020 |
| A Multi-Dialect, Multi-Genre Corpus of Informal Written Arabic R Cotterell, C Callison-Burch LREC, 6, 2014 | 103 | 2014 |
| It’s All in the Name: Mitigating Gender Bias with Name-Based Counterfactual Data Substitution RH Maudslay, H Gonen, R Cotterell, S Teufel arXiv preprint arXiv:1909.00871, 2019 | 93 | 2019 |
| The SIGMORPHON 2019 shared task: Morphological analysis in context and cross-lingual transfer for inflection AD McCarthy, E Vylomova, S Wu, C Malaviya, L Wolf-Sonkin, G Nicolai, ... arXiv preprint arXiv:1910.11493, 2019 | 88 | 2019 |
| Examining gender bias in languages with grammatical gender P Zhou, W Shi, J Zhao, KH Huang, M Chen, R Cotterell, KW Chang arXiv preprint arXiv:1909.02224, 2019 | 85 | 2019 |
| Multimodal pretraining unmasked: A meta-analysis and a unified framework of vision-and-language BERTs E Bugliarello, R Cotterell, N Okazaki, D Elliott Transactions of the Association for Computational Linguistics 9, 978-994, 2021 | 77 | 2021 |
| If beam search is the answer, what was the question? C Meister, T Vieira, R Cotterell arXiv preprint arXiv:2010.02650, 2020 | 73 | 2020 |
| Are all languages equally hard to language-model? R Cotterell, SJ Mielke, J Eisner, B Roark arXiv preprint arXiv:1806.03743, 2018 | 73 | 2018 |
| Weighting Finite-State Transductions with Neural Context P Rastogi, R Cotterell, J Eisner Proc. of NAACL, 2016 | 72 | 2016 |
| Cross-lingual, Character-level Neural Morphological Tagging R Cotterell, G Heigold arXiv preprint arXiv:1708.09157, 2017 | 68 | 2017 |
| Recurrent neural networks in linguistic theory: Revisiting Pinker and Prince (1988) and the past tense debate C Kirov, R Cotterell Transactions of the Association for Computational Linguistics 6, 651-665, 2018 | 67 | 2018 |
| Morphological Smoothing and Extrapolation of Word Embeddings R Cotterell, H Schütze, J Eisner ACL, 2016 | 64 | 2016 |
| Low-resource named entity recognition with cross-lingual, character-level neural conditional random fields R Cotterell, K Duh Proceedings of the Eighth International Joint Conference on Natural Language …, 2017 | 63 | 2017 |
Jason EisnerProfessor of Computer Science, Johns Hopkins UniversityVerified email at cs.jhu.edu
