---
title: "Kenton Lee — papers of 2019 — 5 papers, the most cited first"
description: "Kenton Lee — papers of 2019: 5 papers on Elamur Research, the most cited first — what each work is about in our own words."
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# Kenton Lee — papers of 2019 — 5 papers, the most cited first

5 papers · [all years of Kenton Lee](https://md.research.elamur.ai/free/en/authors/kenton-lee/#years)

**[BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding](https://md.research.elamur.ai/free/en/papers/devlin-2019-bert-pre-training-deep-bidirectional/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Jacob Devlin, Ming-Wei Chang, Kenton Lee, et al.*2019 · 56,209 citations*

**[Natural Questions: A Benchmark for Question Answering Research](https://md.research.elamur.ai/free/en/papers/kwiatkowski-2019-natural-questions-benchmark-question-answering/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Tom Kwiatkowski, Jennimaria Palomaki, Olivia Redfield, et al.*2019 · 4,093 citations*

**[BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions](https://md.research.elamur.ai/free/en/papers/clark-2019-boolq-exploring-surprising-difficulty-natural/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Christopher Clark, Kenton Lee, Ming-Wei Chang, et al.*2019 · 1,330 citations*

**[Latent Retrieval for Weakly Supervised Open Domain Question Answering](https://md.research.elamur.ai/free/en/papers/lee-2019-latent-retrieval-weakly-supervised-open/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Kenton Lee, Ming-Wei Chang, Kristina Toutanova*2019 · 1,253 citations*

- [Well-Read Students Learn Better: On the Importance of Pre-training Compact Models arXiv:1908.08962](https://md.research.elamur.ai/free/en/papers/turc-2019-well-read-students-learn-better/) — Iulia Turc, Ming-Wei Chang, Kenton Lee, et al. · 2019 · 678 citations