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Maxwell Forbes

Research

This is my academic webpage

Bio

I am a fourth-year PhD student in artificial intelligence at the University of Washington. My advisor is Yejin Choi. My primary field of study is natural language processing.

My research focuses on: (1) machine learning approaches to acquire physical commonsense knowledge, (2) language understanding in grounded settings like computer vision and robotics.

I am currently a part-time student researcher at Google AI. I am a 2016 NSF Graduate Research Fellow. Contact me at: a picture of my email address

Mentoring

I am grateful to collaborate with some amazing undergraduate students. I’m currently working with:

  • Jeff Da (grounded language understanding in images)
  • Yao Dou (natural language generation)

Previously, I worked with:

I am eternally grateful to the wonderful graduate students who mentored me when I was an undergraduate (and beyond): Mike Chung, Kenton Lee and Yoav Artzi.

Publications

Conference proceedings

Do Neural Language Representations Learn Physical Commonsense?
Maxwell Forbes, Ari Holtzman, Yejin Choi
Conference of the Cognitive Science Society (CogSci) 2019
[to appear]

Learning to Write with Cooperative Discriminators
Ari Holtzman, Jan Buys, Maxwell Forbes, Antoine Bosselut, David Golub, Yejin Choi
Association for Computational Linguistics (ACL) 2018
[code] [demo]

Verb Physics: Relative Physical Knowledge of Actions and Objects
Maxwell Forbes, Yejin Choi
Association for Computational Linguistics (ACL) 2017
[project] [code] [data] [slides]

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

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

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

Peer-reviewed workshops

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

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