Kenton Lee
Kenton Lee
Google
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Title
Cited by
Cited by
Year
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
J Devlin, MW Chang, K Lee, K Toutanova
arXiv preprint arXiv:1810.04805, 2018
191462018
Deep contextualized word representations
ME Peters, M Neumann, M Iyyer, M Gardner, C Clark, K Lee, ...
arXiv preprint arXiv:1802.05365, 2018
66592018
End-to-end Neural Coreference Resolution
K Lee, L He, M Lewis, L Zettlemoyer
EMNLP, 2017
4752017
Legibility and predictability of robot motion
AD Dragan, KCT Lee, SS Srinivasa
2013 8th ACM/IEEE International Conference on Human-Robot Interaction (HRI …, 2013
4432013
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
3922019
Deep semantic role labeling: What works and what’s next
L He, K Lee, M Lewis, L Zettlemoyer
Proceedings of the 55th Annual Meeting of the Association for Computational …, 2017
3502017
Higher-order Coreference Resolution with Coarse-to-fine Inference
K Lee, L He, L Zettlemoyer
arXiv preprint arXiv:1804.05392, 2018
1942018
Latent Retrieval for Weakly Supervised Open Domain Question Answering
K Lee, MW Chang, K Toutanova
arXiv preprint arXiv:1906.00300, 2019
1762019
REALM: Retrieval-Augmented Language Model Pre-Training
K Guu, K Lee, Z Tung, P Pasupat, MW Chang
arXiv preprint arXiv:2002.08909, 2020
1492020
Broad-coverage CCG Semantic Parsing with AMR
Y Artzi, K Lee, L Zettlemoyer
Proceedings of the 2015 Conference on Empirical Methods in Natural Language …, 2015
1482015
Well-read students learn better: On the importance of pre-training compact models
I Turc, MW Chang, K Lee, K Toutanova
arXiv preprint arXiv:1908.08962, 2019
127*2019
Jointly predicting predicates and arguments in neural semantic role labeling
L He, K Lee, O Levy, L Zettlemoyer
arXiv preprint arXiv:1805.04787, 2018
1262018
Learning Recurrent Span Representations for Extractive Question Answering
K Lee, S Salant, T Kwiatkowski, A Parikh, D Das, J Berant
arXiv preprint arXiv:1611.01436, 2016
1152016
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
902019
Lstm ccg parsing
M Lewis, K Lee, L Zettlemoyer
Proceedings of the 2016 Conference of the North American Chapter of the …, 2016
902016
Context-dependent semantic parsing for time expressions
K Lee, Y Artzi, J Dodge, L Zettlemoyer
Proceedings of the Conference of the Association for Computational …, 2014
732014
Deep contextualized word representations. arXiv 2018
ME Peters, M Neumann, M Iyyer, M Gardner, C Clark, K Lee, ...
arXiv preprint arXiv:1802.05365, 1802
661802
Sorry Dave, I'm Afraid I Can't Do That: Explaining Unachievable Robot Tasks Using Natural Language.
V Raman, C Lignos, C Finucane, KCT Lee, MP Marcus, H Kress-Gazit
Robotics: Science and Systems 2 (1), 2.1, 2013
642013
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
632019
A BERT Baseline for the Natural Questions
C Alberti, K Lee, M Collins
arXiv preprint arXiv:1901.08634, 2019
632019
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