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Computer Science

D-Index
32
Citations
96933
World Ranking
12823
National Ranking
5162

Overview

Kenton Lee is a researcher affiliated with Google in the United States specializing primarily in the field of Computer Science. Their work spans several subfields including Artificial Intelligence, Computer Vision and Pattern Recognition, Physiology, Language and Linguistics, and Cognitive Neuroscience.

Their research topics cover a variety of areas such as:

  • Natural Language Processing Techniques
  • Topic Modeling
  • Multimodal Machine Learning Applications
  • Obstructive Sleep Apnea Research
  • Domain Adaptation and Few-Shot Learning
  • Sleep and Wakefulness Research
  • EFL/ESL Teaching and Learning

Kenton Lee has contributed to numerous publications, with frequent appearances in venues such as:

  • arXiv (Cornell University)
  • SLEEP
  • Modern English Education
  • Laryngo-Rhino-Otologie
  • Journal of Clinical Sleep Medicine

Some of their recent papers include:

  • Pix2Struct: Screenshot Parsing as Pretraining for Visual Language Understanding, 2022, arXiv (Cornell University)
  • Neural Data Augmentation via Example Extrapolation, 2021, arXiv (Cornell University)

Other notable publications that Kenton Lee has contributed to, though with different lead authors, are:

  • EMBI, 2024, Leibniz-Zentrum für Informatik (Schloss Dagstuhl)
  • REALM: Retrieval-Augmented Language Model Pre-Training, 2020, arXiv (Cornell University)
  • NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned, 2021, arXiv (Cornell University)

Kenton Lee frequently collaborates with other researchers. Their most frequent co-authors include:

  • Kristina Toutanova
  • Ming-Wei Chang
  • Mandar Joshi
  • Max Lundeen
  • Hexiang Hu

Best Publications

  • BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

    Jacob Devlin;Ming-Wei Chang;Kenton Lee;Kristina N. Toutanova

  • Deep contextualized word representations

    Matthew E. Peters;Mark Neumann;Mohit Iyyer;Matt Gardner

  • Natural Questions: A Benchmark for Question Answering Research

    Tom Kwiatkowski;Jennimaria Palomaki;Olivia Redfield;Michael Collins

  • Latent Retrieval for Weakly Supervised Open Domain Question Answering

    Kenton Lee;Ming-Wei Chang;Kristina N. Toutanova

  • End-to-end Neural Coreference Resolution

    Kenton Lee;Luheng He;Mike Lewis;Luke Zettlemoyer

  • BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions

    Christopher Clark;Kenton Lee;Ming-Wei Chang;Tom Kwiatkowski

  • Legibility and predictability of robot motion

    Anca D. Dragan;Kenton C.T. Lee;Siddhartha S. Srinivasa

  • Higher-Order Coreference Resolution with Coarse-to-Fine Inference

    Kenton Lee;Luheng He;Luke Zettlemoyer

  • REALM: Retrieval-Augmented Language Model Pre-Training.

    Kelvin Guu;Kenton Lee;Zora Tung;Panupong Pasupat

  • Deep Semantic Role Labeling: What Works and What’s Next

    Luheng He;Kenton Lee;Mike Lewis;Luke Zettlemoyer

  • Well-Read Students Learn Better: On the Importance of Pre-training Compact Models

    Iulia Turc;Ming-Wei Chang;Kenton Lee;Kristina Toutanova

  • Zero-shot Entity Linking by Reading Entity Descriptions

    Lajanugen Logeswaran;Ming-Wei Chang;Kenton Lee;Kristina N. Toutanova

  • Jointly Predicting Predicates and Arguments in Neural Semantic Role Labeling

    Luheng He;Kenton Lee;Omer Levy;Luke Zettlemoyer

  • Retrieval Augmented Language Model Pre-Training

    Kelvin Guu;Kenton Lee;Zora Tung;Panupong Pasupat

  • Learning Recurrent Span Representations for Extractive Question Answering

    Kenton Lee;Shimi Salant;Tom Kwiatkowski;Ankur Parikh

  • Broad-coverage CCG Semantic Parsing with AMR

    Yoav Artzi;Kenton Lee;Luke Zettlemoyer

  • A BERT Baseline for the Natural Questions

    Chris Alberti;Kenton Lee;Michael Collins

  • Well-Read Students Learn Better: The Impact of Student Initialization on Knowledge Distillation

    Iulia Turc;Ming-Wei Chang;Kenton Lee;Kristina Toutanova

  • Syntactic Scaffolds for Semantic Structures.

    Swabha Swayamdipta;Sam Thomson;Kenton Lee;Luke Zettlemoyer

  • XOR QA: Cross-lingual Open-Retrieval Question Answering

    Akari Asai;Jungo Kasai;Jonathan H. Clark;Kenton Lee

  • LSTM CCG Parsing.

    Mike Lewis;Kenton Lee;Luke Zettlemoyer

Frequent Co-Authors

Ming-Wei Chang
Ming-Wei Chang Google (United States)
Luke Zettlemoyer
Luke Zettlemoyer University of Washington
Kristina Toutanova
Kristina Toutanova Google (United States)
Michael Collins
Michael Collins Google (United States)
Hannaneh Hajishirzi
Hannaneh Hajishirzi University of Washington
Michael Lewis
Michael Lewis University of Pittsburgh
Omer Levy
Omer Levy Deep Mind
Yoav Artzi
Yoav Artzi Cornell University
Siddhartha S. Srinivasa
Siddhartha S. Srinivasa University of Washington
Jordan Boyd-Graber
Jordan Boyd-Graber University of Maryland, College Park

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