PECASE Awardee, Allen Distinguished Investigator
|Office: 658 Allen Center (directions)||Computer Science & Engineering
|Phone: 206-685-1227||University of Washington|
|Fax: 206-685-2969||Box 352350|
|Email: firstname.lastname@example.org||Seattle, WA 98195-2350|
ResearchMy 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.
- 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)
- 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)
- 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!
- 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.
- We released the UW Semantic Parsing Framework, and plan to keep it as up to date as possible as we develop new algorithms in the framework. Special thanks to Yoav for making this happen!
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