David L. Chen
University of Texas at AustinDepartment of Computer Science
At Sea World San Antonio in 2011
About Me
I graduated with a PhD in Computer Science at UT Austin in May, 2012.
I currently work at Google (Mountain View) on the Knowledge Graph in Search.
My main research interests are in Artificial Intelligence, including Machine Learning, Natural Language Processing and Computer Vision.
I worked with Prof. Ray Mooney on integrating perceptual information with language learning.
I was a member of the Machine Learning Research Group in the Artificial Intelligence Lab
I obtained my B.S. degree in EECS from UC Berkeley in 2004 and my Master's degree in CS from UCLA in 2006.
Publications and Technical Talks
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Fast Online Lexicon Learning for Grounded Language Acquisition
[Abstract] [PDF] [Slides (PPT)] [Website]
David L. Chen
Annual Meetings of the Association for Computational Linguistics (ACL), 2012 -
Learning to Interpret Natural Language Navigation Instructions from Observations
[Abstract] [PDF] [Slides (PPT)] [Website]
David L. Chen and Raymond J. Mooney
AAAI Conference on Artificial Intelligence (AAAI), 2011 -
Collecting Highly Parallel Data for Paraphrase Evaluation
[Abstract] [PDF] [Slides (PPT)] [Website]
David L. Chen and William B. Dolan
Annual Meetings of the Association for Computational Linguistics (ACL), 2011 -
Learning to Sportscast: A Test of Grounded Language Acquisition
[Abstract] [PDF] [Talk (video)] [Slides (PPT)] [poster (PDF)] [Website]
David L. Chen and Raymond J. Mooney
International Conference on Machine Learning (ICML), 2008. -
Improved error reporting for software that uses black-box components
[PDF]
Jungwoo Ha, Christopher J. Rossbach, Jason V. Davis, Indrajit Roy, Hany E. Ramadan, Donald E. Porter, David L. Chen and Emmett Witchel
Conference on Programming Language Design and Implementation (PLDI), pp. 101-111, ACM, 2007.
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Building a Persistent Workforce on Mechanical Turk for Multilingual Data Collection
[Abstract] [PDF][Website]
David L. Chen and William B. Dolan
Human Computation Workshop (HCOMP), 2011 -
Panning for Gold: Finding Relevant Semantic Content for Grounded Language Learning
[Abstract] [PDF] [Poster (PPT)] [Poster (PDF)] [Website]
David L. Chen and Raymond J. Mooney
Symposium on Machine Learning in Speech and Language Processing (MLSLP), 2011
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Learning Language from Ambiguous Perceptual Context
[PDF] [Slides (PPT)]
David L. Chen
Doctoral Dissertation, 2012 -
Learning Language from Perceptual Context
[PDF] [Slides (PPT)] [Website]
David L. Chen
Doctoral Dissertation Proposal, 2009 -
Using Perceptual Context to Ground Language
[Slides (PDF)]
David Chen
IBM Statistical Machine Learning and Its Application (SMiLe) Workshop, October 2009 -
Learning to Sportscast: A Test of Grounded Language Acquisition
[Slides (PPT)] [Slides print-version (PPT)]
David L. Chen
Research Preparation Exam, Department of Computer Science, The University of Texas at Austin, August 2008 -
Sisterhood of Classifiers: A Comparative Study of Naive Bayes and Noisy-or Networks
[PDF]
David Chen
Master's Thesis, Department of Computer Science, University of California at Los Angeles, 2006
Teaching
- Fall 2011: Instructor for CS 303E: Elements of Computers and Programming
- Spring 2007: TA for CS 315: Algorithms and Data Structures
- Fall 2006: TA for CS 315: Algorithms and Data Structures
Current Reading Groups
Contact Info
- Email:
- cooldc at hotmail.com