Kenton Lee
Kenton Lee co-wrote BERT, a language representation model whose preprint appeared in October 2018. While a CSE Ph.D. student, he shared the EMNLP 2016 best paper award with Mike Lewis and Luke Zettlemoyer for Global Neural CCG Parsing with Optimality Guarantees. BERT won the Best Long Paper award at NAACL 2019. In 2020 he co-developed REALM, a model that adds document retrieval to language model pretraining, and in 2023 he co-authored Pix2Struct, a model pretrained by parsing masked web screenshots into simplified HTML. As of October 2026, he is a research scientist at Google DeepMind.
Timeline
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2016
A best paper at EMNLP
As a CSE Ph.D. student, he shares the EMNLP 2016 best paper award with Mike Lewis and Luke Zettlemoyer for Global Neural CCG Parsing with Optimality Guarantees.
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2018
Co-writing BERT
He co-writes BERT, a language representation model, with Jacob Devlin, Ming-Wei Chang and Kristina Toutanova; the preprint appears in October 2018.
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2019
A best long paper at NAACL
BERT, written by Jacob Devlin, Ming-Wei Chang, Kenton Lee and Kristina Toutanova, wins the Best Long Paper award at NAACL 2019.
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2020
The REALM retrieval model
He co-develops REALM with Kelvin Guu, Zora Tung, Panupong Pasupat and Mingwei Chang, a model that adds document retrieval to language model pretraining, and the paper appears at ICML in 2020.
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2023
Pix2Struct screenshot pretraining
He co-authors Pix2Struct, a model pretrained by parsing masked web screenshots into simplified HTML, and the paper appears at ICML in 2023.
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As of October 2026
A research scientist at Google DeepMind
He is a research scientist at Google DeepMind, after serving as a CS PhD student at the University of Washington.
Sources and credits
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- Allen School News Archive » UW CSE researchers win Best Paper Award at EMNLP 2016
- BERT (language model) - Wikipedia
- [1810.04805] BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
- Best Paper Awards - NAACL-HLT 2019
- Retrieval Augmented Language Model Pre-Training
- [2002.08909] REALM: Retrieval-Augmented Language Model Pre-Training
- Pix2Struct: Screenshot Parsing as Pretraining for Visual Language Understanding
- [2210.03347] Pix2Struct: Screenshot Parsing as Pretraining for Visual Language Understanding
- Kenton Lee | alphaXiv
- Kenton Lee