| Bert: Pre-training of deep bidirectional transformers for language understanding J Devlin arXiv preprint arXiv:1810.04805, 2018 | 127089 | 2018 |
| Feature-rich part-of-speech tagging with a cyclic dependency network K Toutanova, D Klein, CD Manning, Y Singer Proceedings of the 2003 human language technology conference of the north …, 2003 | 4549 | 2003 |
| Natural questions: a benchmark for question answering research T Kwiatkowski, J Palomaki, O Redfield, M Collins, A Parikh, C Alberti, ... Transactions of the Association for Computational Linguistics 7, 453-466, 2019 | 2994 | 2019 |
| Enriching the knowledge sources used in a maximum entropy part-of-speech tagger K Toutanvoa, CD Manning 2000 Joint SIGDAT conference on Empirical methods in natural language …, 2000 | 1562 | 2000 |
| BoolQ: Exploring the surprising difficulty of natural yes/no questions C Clark, K Lee, MW Chang, T Kwiatkowski, M Collins, K Toutanova arXiv preprint arXiv:1905.10044, 2019 | 1254 | 2019 |
| Observed versus latent features for knowledge base and text inference K Toutanova, D Chen Proceedings of the 3rd workshop on continuous vector space models and their …, 2015 | 1245 | 2015 |
| Latent retrieval for weakly supervised open domain question answering K Lee, MW Chang, K Toutanova arXiv preprint arXiv:1906.00300, 2019 | 1066 | 2019 |
| Representing Text for Joint Embedding of Text and Knowledge Bases K Toutanova, D Chen, P Pantel, H Poon, P Choudhury, M Gamon EMNLP, 2015 | 917 | 2015 |
| Well-Read Students Learn Better: On the Importance of Pre-training Compact Models I Turc, MW Chang, K Lee, K Toutanova | 740 | 2019 |
| Cross-Sentence N-ary Relation Extraction with Graph LSTMs N Peng, H Poon, C Quirk, K Toutanova, W Yih Transactions of the Association for Computational Linguistics 5, 101-115, 2017 | 624 | 2017 |
| Sparse, dense, and attentional representations for text retrieval Y Luan, J Eisenstein, K Toutanova, M Collins Transactions of the Association for Computational Linguistics 9, 329-345, 2021 | 426 | 2021 |
| Learning discriminative projections for text similarity measures W Yih, K Toutanova, JC Platt, C Meek Proceedings of the fifteenth conference on computational natural language …, 2011 | 337 | 2011 |
| Zero-shot entity linking by reading entity descriptions L Logeswaran, MW Chang, K Lee, K Toutanova, J Devlin, H Lee arXiv preprint arXiv:1906.07348, 2019 | 303 | 2019 |
| Pronunciation modeling for improved spelling correction K Toutanova, RC Moore Proceedings of the 40th Annual Meeting of the Association for Computational …, 2002 | 282 | 2002 |
| Extracting parallel sentences from comparable corpora using document level alignment J Smith, C Quirk, K Toutanova Human language technologies: The 2010 annual conference of the North …, 2010 | 271 | 2010 |
| LinGO Redwoods: A Rich and Dynamic Treebank for HPSG S Oepen, D Flickinger, K Toutanova, CD Manning Research on Language and Computation 2, 575-596, 2004 | 264 | 2004 |
| Pix2struct: Screenshot parsing as pretraining for visual language understanding K Lee, M Joshi, IR Turc, H Hu, F Liu, JM Eisenschlos, U Khandelwal, ... International Conference on Machine Learning, 18893-18912, 2023 | 253 | 2023 |
| Semi-supervised part-of-speech tagging KN Toutanova, ME Johnson US Patent 8,275,607, 2012 | 253 | 2012 |
| Joint learning improves semantic role labeling K Toutanova, A Haghighi, CD Manning Proceedings of the 43rd Annual Meeting of the Association for Computational …, 2005 | 245 | 2005 |
| Compositional generalization and natural language variation: Can a semantic parsing approach handle both? P Shaw, MW Chang, P Pasupat, K Toutanova arXiv preprint arXiv:2010.12725, 2020 | 197 | 2020 |
Kenton LeeGoogle DeepMindVerified email at google.com