| ALBERT: A lite BERT for self-supervised learning of language representations Z Lan, M Chen, S Goodman, K Gimpel, P Sharma, R Soricut arXiv preprint arXiv:1909.11942, 2019 | 8056 | 2019 |
| Gaussian error linear units (GELUs) D Hendrycks, K Gimpel arXiv preprint arXiv:1606.08415, 2016 | 6605 | 2016 |
| A baseline for detecting misclassified and out-of-distribution examples in neural networks D Hendrycks, K Gimpel ICLR, 2017 | 3794 | 2017 |
| Part-of-speech tagging for Twitter: Annotation, features, and experiments K Gimpel, N Schneider, B O'Connor, D Das, D Mills, J Eisenstein, ... ACL, 2011 | 1346 | 2011 |
| Beyond the imitation game: Quantifying and extrapolating the capabilities of language models A Srivastava, A Rastogi, A Rao, AAM Shoeb, A Abid, A Fisch, AR Brown, ... arXiv preprint arXiv:2206.04615, 2022 | 1177 | 2022 |
| Improved part-of-speech tagging for online conversational text with word clusters O Owoputi, B O'Connor, C Dyer, K Gimpel, N Schneider, NA Smith Human Language Technologies: Conference of the North American Chapter of the …, 2013 | 964 | 2013 |
| Adversarial example generation with syntactically controlled paraphrase networks M Iyyer, J Wieting, K Gimpel, L Zettlemoyer NAACL, 2018 | 802 | 2018 |
| Towards universal paraphrastic sentence embeddings J Wieting, M Bansal, K Gimpel, K Livescu ICLR, 2016 | 738 | 2016 |
| Using Trusted Data to Train Deep Networks on Labels Corrupted by Severe Noise D Hendrycks, M Mazeika, D Wilson, K Gimpel NeurIPS, 2018 | 659 | 2018 |
| Multi-perspective sentence similarity modeling with convolutional neural networks H He, K Gimpel, J Lin Proceedings of the 2015 conference on empirical methods in natural language …, 2015 | 496 | 2015 |
| ParaNMT-50M: Pushing the limits of paraphrastic sentence embeddings with millions of machine translations J Wieting, K Gimpel Proceedings of the 56th Annual Meeting of the Association for Computational …, 2018 | 389 | 2018 |
| Tailoring continuous word representations for dependency parsing M Bansal, K Gimpel, K Livescu Proceedings of the 52nd Annual Meeting of the Association for Computational …, 2014 | 389 | 2014 |
| Early methods for detecting adversarial images D Hendrycks, K Gimpel arXiv preprint arXiv:1608.00530, 2016 | 324 | 2016 |
| From paraphrase database to compositional paraphrase model and back J Wieting, M Bansal, K Gimpel, K Livescu, D Roth TACL, 2015 | 324 | 2015 |
| Movie reviews and revenues: An experiment in text regression M Joshi, D Das, K Gimpel, NA Smith Human language technologies: The 2010 annual conference of the North …, 2010 | 307 | 2010 |
| Charagram: Embedding words and sentences via character n-grams J Wieting, M Bansal, K Gimpel, K Livescu EMNLP, 2016 | 254 | 2016 |
| Commonsense knowledge base completion X Li, A Taheri, L Tu, K Gimpel Proceedings of the 54th Annual Meeting of the Association for Computational …, 2016 | 205 | 2016 |
| Softmax-margin CRFs: Training log-linear models with cost functions K Gimpel, NA Smith Human Language Technologies: The 2010 Annual Conference of the North …, 2010 | 202* | 2010 |
| Beyond BLEU: Training Neural Machine Translation with Semantic Similarity J Wieting, T Berg-Kirkpatrick, K Gimpel, G Neubig ACL 2019, 2019 | 176 | 2019 |
| Who did what: A large-scale person-centered cloze dataset T Onishi, H Wang, M Bansal, K Gimpel, D McAllester EMNLP, 2016 | 165 | 2016 |
Karen LivescuTTI-Chicago在 ttic.edu 的电子邮件经过验证
