PECASE Awardee, Allen Distinguished Investigator

	Contact	Mailing Address
	Office: 658 Allen Center (directions)	Computer Science & Engineering
	Phone: 206-685-1227	University of Washington
	Fax: 206-685-2969	Box 352350
	Email: lsz@cs.washington.edu	Seattle, WA 98195-2350

Research

My current research is in the intersections of natural language processing, machine learning, and decision making under uncertainty. I am particularly interested in designing learning algorithms for recovering representations of the meaning of natural language text. For more details, please see my publications.

Bio: I am an Associate 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

• Spring 2016: Introduction to Artificial Intelligence (CSE 473)
• Winter 2016: Artificial Intelligence (CSEP 573)
• Winter 2015: Machine Learning (CSE 446)
• Autumn 2013: Natural Language Processing (CSEP 517)

Students (Alumni)

• Eunsol Choi (Co-advised with Yejin Choi)
• Nicholas FitzGerald
• Luheng He
• Srinivasan Iyer (Co-advised with Alvin Cheung)
• Mandar Joshi (Co-advised with Dan Weld)
• Chloé Kiddon (Co-advised with Yejin Choi)
• Kenton Lee
• Victoria Lin
• Julian Michael
• Mark Yatskar (Co-advised with Ali Farhadi)

Postdocs

• Dan Garrette
• Yannis Konstas
• Mike Lewis

Announcements

• Mark released ImSitu, a large, new situation recognition dataset. He has formulated this recognition problem as visual semantic role labeling, where images are mapped to structured action representations. Have a look at the data and recognition demo!
• Luheng released a QA-SRL dataset, demonstrating that non-expert annotators can provide supervision for recovering the predicative argument structure of English sentences.
• Mike released EasySRL, a joint CCG and SRL parser that builds wide-coverage logical forms and uses a fast A* algorithm.
• Congratulations to Yoav and Kenton for winning a best paper award for Broad-coverage CCG Semantic Parsing with AMR at EMNLP 2015.
• Kenton released UW Time, a context-dependent semantic parser for detecting and resolving time expressions.
• Yoav is recording a tutorial on Semantic Parsing with CCG.