Kenton Lee
Kenton Lee
Google DeepMind
Verified email at - Homepage
Cited by
Cited by
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
J Devlin, MW Chang, K Lee, K Toutanova
arXiv preprint arXiv:1810.04805, 2018
Deep contextualized word representations. NAACL-HLT
ME Peters, M Neumann, M Iyyer, M Gardner, C Clark, K Lee, ...
Association for Computational Linguistics2227–2237, 2018
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
REALM: Retrieval-Augmented Language Model Pre-Training
K Guu, K Lee, Z Tung, P Pasupat, MW Chang
arXiv preprint arXiv:2002.08909, 2020
End-to-end Neural Coreference Resolution
K Lee, L He, M Lewis, L Zettlemoyer
EMNLP, 2017
Latent Retrieval for Weakly Supervised Open Domain Question Answering
K Lee, MW Chang, K Toutanova
arXiv preprint arXiv:1906.00300, 2019
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
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
Legibility and predictability of robot motion
AD Dragan, KCT Lee, SS Srinivasa
2013 8th ACM/IEEE International Conference on Human-Robot Interaction (HRI …, 2013
Higher-order Coreference Resolution with Coarse-to-fine Inference
K Lee, L He, L Zettlemoyer
arXiv preprint arXiv:1804.05392, 2018
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
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
Jointly predicting predicates and arguments in neural semantic role labeling
L He, K Lee, O Levy, L Zettlemoyer
arXiv preprint arXiv:1805.04787, 2018
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
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
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
A BERT Baseline for the Natural Questions
C Alberti, K Lee, M Collins
arXiv preprint arXiv:1901.08634, 2019
XOR QA: Cross-lingual Open-Retrieval Question Answering
A Asai, J Kasai, JH Clark, K Lee, E Choi, H Hajishirzi
arXiv preprint arXiv:2010.11856, 2020
Syntactic Scaffolds for Semantic Structures
S Swayamdipta, S Thomson, K Lee, L Zettlemoyer, C Dyer, NA Smith
arXiv preprint arXiv:1808.10485, 2018
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
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