Luke Zettlemoyer
Scholar

Luke Zettlemoyer

Google Scholar ID: UjpbO6IAAAAJ
University of Washington; Meta
Natural Language ProcessingSemanticsMachine LearningArtificial Intelligence
Citations & Impact
All-time
Citations
143,961
 
H-index
120
 
i10-index
274
 
Publications
20
 
Co-authors
134
list available
Resume (English only)
Academic Achievements
  • Papers: Multiple paper awards at top NLP and ML conferences; Awards: Named a Fellow of the Association for Computational Linguistics (ACL), won a PECASE award from President Obama, an Allen Distinguished Investigator award from Paul Allen; Patents: Not mentioned; Projects: Not mentioned.
Research Experience
  • Work Experience: Professor at the Paul G. Allen School of Computer Science & Engineering, University of Washington, and Research Director at Meta; Research Projects: Focuses on empirical methods for natural language semantics, involving designing machine learning algorithms, introducing new tasks and datasets, and, most recently, studying how to best train and deploy large language models such as ChatGPT.
Education
  • Degree: Ph.D.; School: MIT; Advisor: Not mentioned; Time: Not mentioned; Major: Not mentioned; Also, he was a postdoc at the University of Edinburgh.
Background
  • Research Interests: Natural Language Processing; Expertise: Artificial Intelligence; Biography: Luke Zettlemoyer is a Professor in the Paul G. Allen School of Computer Science & Engineering at the University of Washington, and a Research Director at Meta. He has been teaching advanced AI and ML courses at the University of Washington for over ten years, targeting undergraduate, Ph.D., and professional masters students.
Miscellany
  • Personal Interests: Not mentioned; Hobbies: Not mentioned; Other: Not mentioned.