| Gender identity and lexical variation in social media D Bamman, J Eisenstein, T Schnoebelen Journal of Sociolinguistics 18 (2), 135-160, 2014 | 500 | 2014 |
| Censorship and deletion practices in Chinese social media D Bamman, B O'Connor, N Smith First Monday, 2012 | 398 | 2012 |
| Contextualized sarcasm detection on twitter D Bamman, N Smith proceedings of the international AAAI conference on web and social media 9 …, 2015 | 363 | 2015 |
| Learning Latent Personas of Film Characters D Bamman, B O'Connor, N Smith ACL, 2013 | 259 | 2013 |
| Adversarial training for relation extraction Y Wu, D Bamman, S Russell Proceedings of the 2017 Conference on Empirical Methods in Natural Language …, 2017 | 200 | 2017 |
| A Bayesian Mixed Effects Model of Literary Character D Bamman, T Underwood, NA Smith ACL, 2014 | 185 | 2014 |
| The ancient Greek and Latin dependency treebanks D Bamman, G Crane Language technology for cultural heritage, 79-98, 2011 | 113 | 2011 |
| Distributed Representations of Geographically Situated Language D Bamman, C Dyer, NA Smith ACL, 2014 | 100 | 2014 |
| The design and use of a Latin dependency treebank D Bamman, G Crane Proceedings of the Fifth Workshop on Treebanks and Linguistic Theories …, 2006 | 84 | 2006 |
| An ownership model of annotation: The Ancient Greek dependency treebank D Bamman, F Mambrini, G Crane Proceedings of the Eighth Workshop on Treebanks and Linguistic Theories, 2009 | 81 | 2009 |
| The transformation of gender in English-language fiction T Underwood, D Bamman, S Lee Journal of Cultural Analytics 3 (2), 11035, 2018 | 74 | 2018 |
| Improving OCR accuracy for classical critical editions F Boschetti, M Romanello, A Babeu, D Bamman, G Crane International Conference on Theory and Practice of Digital Libraries, 156-167, 2009 | 71 | 2009 |
| Unsupervised Discovery of Biographical Structure from Text D Bamman, NA Smith TACL, 2014 | 69 | 2014 |
| Gender in twitter: Styles, stances, and social networks D Bamman, J Eisenstein, T Schnoebelen | 68 | 2012 |
| Computational text analysis for social science: Model assumptions and complexity B O’Connor, D Bamman, NA Smith NIPS Workshop on Computational Social Science and the Wisdom of Crowds, 2011 | 64 | 2011 |
| Beyond digital incunabula: Modeling the next generation of digital libraries G Crane, D Bamman, L Cerrato, A Jones, D Mimno, A Packel, D Sculley, ... International Conference on Theory and Practice of Digital Libraries, 353-366, 2006 | 55 | 2006 |
| Learning to groove with inverse sequence transformations J Gillick, A Roberts, J Engel, D Eck, D Bamman International Conference on Machine Learning, 2269-2279, 2019 | 50 | 2019 |
| Literary event detection M Sims, JH Park, D Bamman Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019 | 49 | 2019 |
| An annotated dataset of literary entities D Bamman, S Popat, S Shen Proceedings of the 2019 Conference of the North American Chapter of the …, 2019 | 48 | 2019 |
| Measuring historical word sense variation D Bamman, G Crane Proceedings of the 11th annual international ACM/IEEE joint conference on …, 2011 | 48 | 2011 |
Noah A. SmithUniversity of Washington; Allen Institute for Artificial IntelligenceVerified email at cs.washington.edu
