Luke Zettlemoyer

Seattle, United States

Luke Zettlemoyer is a research manager and site lead for FAIR Seattle. He is also a Professor in the Allen School of Computer Science & Engineering at the University of Washington. His research is in empirical computational semantics, where the goal is to build models that recover representations of the meaning of natural language text. Recent work has focused on language modeling pretraining, multi-lingual NLP, semantic parsing, question answering, and information extraction. Luke's honors include a PECASE Award and being named an Allen Distinguished Investigator, along with more than ten paper awards at top NLP venues. He was a postdoctoral researcher at the University of Edinburgh and received his Ph.D. from MIT.

Luke's Publications

April 27, 2020

RESEARCH

NLP

Generalization through Memorization: Nearest Neighbor Language Models

Urvashi Khandelwal, Omer Levy, Dan Jurafsky, Luke Zettlemoyer, Mike Lewis

April 27, 2020

November 07, 2019

RESEARCH

NLP

Cloze-driven Pretraining of Self-attention Networks

Alexei Baevski, Sergey Edunov, Yinhan Liu, Luke Zettlemoyer, Michael Auli

November 07, 2019

November 02, 2019

RESEARCH

NLP

Mask-Predict: Parallel Decoding of Conditional Masked Language Models

Marjan Ghazvininejad, Omer Levy, Yinhan Liu, Luke Zettlemoyer

November 02, 2019