| Bert: Pre-training of deep bidirectional transformers for language understanding J Devlin arXiv preprint arXiv:1810.04805, 2018 | 119830 | 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 | 4529 | 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 | 2814 | 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 | 1557 | 2000 |
| 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 | 1192 | 2015 |
| 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 | 1157 | 2019 |
| Latent retrieval for weakly supervised open domain question answering K Lee, MW Chang, K Toutanova arXiv preprint arXiv:1906.00300, 2019 | 1025 | 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 | 888 | 2015 |
| Well-Read Students Learn Better: On the Importance of Pre-training Compact Models I Turc, MW Chang, K Lee, K Toutanova | 699 | 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 | 613 | 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 | 403 | 2021 |
| BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding J Devlin, MW Chang, K Lee, K Toutanova Association for Computational Linguistics, 4171-4186, 2019 | 361* | 2019 |
| BERT: Pre-training of deep bidirectional transformers for language understanding 2019 Conference of the North American Chapter of the Association for Computational Linguistics … J Devlin, MW Chang, K Lee, K Toutanova Materials Science and Engineering 1115, 012032, 2021 | 340 | 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 | 335 | 2011 |
| BERT: pre-training of deep bidirectional transformers for language understanding. CoRR abs/1810.04805 J Devlin, M Chang, K Lee, K Toutanova Preprint retrieved from http://arxiv. org/abs, 2018 | 305* | 2018 |
| 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 | 293 | 2019 |
| Pronunciation modeling for improved spelling correction K Toutanova, RC Moore Proceedings of the 40th Annual Meeting of the Association for Computational …, 2002 | 281 | 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 | 269 | 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 | 263 | 2004 |
| Semi-supervised part-of-speech tagging KN Toutanova, ME Johnson US Patent 8,275,607, 2012 | 253 | 2012 |
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