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Bio

I am a second-year PhD student in artificial intelligence at the University of Washington. My advisor is Yejin Choi. I am in the UW Natural Language Processing group.

My current research focuses on: (1) machine learning approaches to commonsense knowledge acquision, (2) grounded language work in computer vision and robotics.

I am supported by an NSF Graduate Research Fellowship.

Publications

Conference proceedings

Verb Physics: Relative Physical Knowledge of Actions and Objects
Maxwell Forbes, Yejin Choi
In Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (ACL) 2017
[pdf] [project]

 

Robot Programming by Demonstration with Situated Spatial Language Understanding
Maxwell Forbes, Rajesh P. N. Rao, Luke Zettlemoyer, Maya Cakmak
In IEEE International Conference on Robotics and Automation (ICRA) 2015
[pdf] [video]

 

Robot Programming by Demonstration with Crowdsourced Action Fixes
Maxwell Forbes, Michael Jae-Yoon Chung, Maya Cakmak, Rajesh P. N. Rao
In AAAI Conference on Human Computation and Crowdsourcing (HCOMP) 2014
[pdf] [slides]

 

Accelerating Imitation Learning through Crowdsourcing
Michael Jae-Yoon Chung, Maxwell Forbes, Maya Cakmak, Rajesh P. N. Rao
In IEEE International Conference on Robotics and Automation (ICRA) 2014
[pdf] [press: Popular Science] [press: IEEE Spectrum] [press: Wired UK]

 

Peer-reviewed workshops

Programming by Demonstration with Situated Semantic Parsing
Yoav Artzi*, Maxwell Forbes*, Kenton Lee*, Maya Cakmak
In AAAI Fall Symposium Series on Human-Robot Interaction 2014
[pdf] [slides]

 

Grounding Antonym Adjective Pairs through Interaction
Maxwell Forbes, Michael Chung, Maya Cakmak, Luke Zettlemoyer, Rajesh P. N. Rao
In ACM/IEEE International Conference on Human-Robot Interaction (HRI) Workshop on Asymmetric Interactions 2014
[pdf] [slides]