Luke Zettlemoyer

My current research is in the intersections of natural language processing, machine learning, and decision making under uncertainty. I am particularly interested in algorithms for recovering and making use of representations of the meaning of natural language text.

I am an Assistant Professor in the Department of Computer Science & Engineering at the University of Washington. Previously, I did postdoctoral research at the University of Edinburgh and was a Ph.D. student at MIT.

Recent Teaching

Winter 2012: Machine Learning (CSE 546)
Autumn 2011: Introduction to Artificial Intelligence (CSE 473)
Winter 2011: AI II / Natural Language Processing (CSE 574)

Postdoc

Tom Kwiatkowski

Students

Yoav Artzi
Eunsol Choi
Nicholas FitzGerald
Raphael Hoffmann (Co-advised with Dan Weld)
Cynthia Matuszek (Co-advised with Dieter Fox)
Gabriel Schubiner
Adrienne Wang
Mark Yatskar
Leila Zilles

Last changed Fri, 2013-01-25 13:14

Recent Publications

A Joint Model of Language and Perception for Grounded Attribute Learning

C. Matuszek, N. FitzGerald, L. Zettlemoyer, L. Bo, D. Fox, Proceedings of the International Conference on Machine Learning (ICML), 2012.

Downloads: PDF

A Probabilistic Model of Syntactic and Semantic Acquisition from Child-Directed Utterances and their Meanings

T. Kwiatkowski, S. Goldwater, L. Zettlemoyer, Steedman, Proceedings of the Conference of the European Chapter of the Association for Computational Linguistics (EACL), 2012.

Lexical Generalization in CCG Grammar Induction for Semantic Parsing

T. Kwiatkowski, L. Zettlemoyer, S. Goldwater, M. Steedman, Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP), 2011.

Bootstrapping Semantic Parsers from Conversations

Y. Artzi, L. Zettlemoyer, Conference on Empirical Methods in Natural Language Processing (EMNLP), 2011.

Knowledge-Based Weak Supervision for Information Extraction of Overlapping Relations

R. Hoffmann, C. Zhang, X. Ling, L. Zettlemoyer, D. Weld, Proceedings of the Annual Meeting of the Association for Computational Linguistics (ACL), 2011.

Downloads: Source Code