| Hierarchical attention networks for document classification Z Yang, D Yang, C Dyer, X He, A Smola, E Hovy Proceedings of the 2016 conference of the North American chapter of the …, 2016 | 6122 | 2016 |
| End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF X Ma arXiv preprint arXiv:1603.01354, 2016 | 3472 | 2016 |
| Self-training with noisy student improves imagenet classification Q Xie, MT Luong, E Hovy, QV Le Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 2898 | 2020 |
| Unsupervised data augmentation for consistency training Q Xie, Z Dai, E Hovy, T Luong, Q Le Advances in neural information processing systems 33, 6256-6268, 2020 | 2561 | 2020 |
| Determining the sentiment of opinions SM Kim, E Hovy Coling 2004: Proceedings of the 20th international conference on …, 2004 | 2463 | 2004 |
| Automatic evaluation of summaries using n-gram co-occurrence statistics CY Lin, E Hovy Proceedings of the 2003 human language technology conference of the North …, 2003 | 2269 | 2003 |
| Race: Large-scale reading comprehension dataset from examinations G Lai, Q Xie, H Liu, Y Yang, E Hovy arXiv preprint arXiv:1704.04683, 2017 | 1395 | 2017 |
| Learning surface text patterns for a question answering system D Ravichandran, E Hovy Proceedings of the 40th Annual meeting of the association for Computational …, 2002 | 1213 | 2002 |
| OntoNotes: the 90% solution E Hovy, M Marcus, M Palmer, L Ramshaw, R Weischedel Proceedings of the human language technology conference of the NAACL …, 2006 | 1200 | 2006 |
| Retrofitting word vectors to semantic lexicons M Faruqui, J Dodge, SK Jauhar, C Dyer, E Hovy, NA Smith arXiv preprint arXiv:1411.4166, 2014 | 1176 | 2014 |
| Automated text summarization and the SUMMARIST system E Hovy, CY Lin TIPSTER TEXT PROGRAM PHASE III: Proceedings of a Workshop held at Baltimore …, 1998 | 1084 | 1998 |
| Government 2.0: Making connections between citizens, data and government SA Chun, S Shulman, R Sandoval, E Hovy Information polity 15 (1-2), 1-9, 2010 | 1009 | 2010 |
| A survey of data augmentation approaches for NLP SY Feng, V Gangal, J Wei, S Chandar, S Vosoughi, T Mitamura, E Hovy arXiv preprint arXiv:2105.03075, 2021 | 873 | 2021 |
| Visualizing and understanding neural models in NLP J Li, X Chen, E Hovy, D Jurafsky arXiv preprint arXiv:1506.01066, 2015 | 858 | 2015 |
| Introduction to the special issue on summarization D Radev, E Hovy, K McKeown Computational linguistics 28 (4), 399-408, 2002 | 820 | 2002 |
| Harnessing deep neural networks with logic rules Z Hu, X Ma, Z Liu, E Hovy, E Xing arXiv preprint arXiv:1603.06318, 2016 | 783 | 2016 |
| Extracting opinions, opinion holders, and topics expressed in online news media text SM Kim, E Hovy Proceedings of the Workshop on Sentiment and Subjectivity in Text, 1-8, 2006 | 674 | 2006 |
| The automated acquisition of topic signatures for text summarization CY Lin, E Hovy COLING 2000 volume 1: The 18th international conference on computational …, 2000 | 654 | 2000 |
| Generating natural language under pragmatic constraints E Hovy Journal of Pragmatics 11 (6), 689-719, 1987 | 649 | 1987 |
| Learning the difference that makes a difference with counterfactually-augmented data D Kaushik, E Hovy, ZC Lipton arXiv preprint arXiv:1909.12434, 2019 | 624 | 2019 |