David Chen
Ph.D. Alumni
I worked with Prof. Ray Mooney on integrating perceptual information with language learning and graduated with my PhD in May, 2012. I currently work at Google on the Knowledge Graph in Search.
Fast Online Lexicon Learning for Grounded Language Acquisition 2012
David L. Chen, Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics (ACL-2012) (2012), pp. 430--439.
Learning Language from Ambiguous Perceptual Context 2012
David L. Chen, PhD Thesis, Department of Computer Science, University of Texas at Austin. 196.
Building a Persistent Workforce on Mechanical Turk for Multilingual Data Collection 2011
David L. Chen and William B. Dolan, In Proceedings of The 3rd Human Computation Workshop (HCOMP 2011), August 2011.
Collecting Highly Parallel Data for Paraphrase Evaluation 2011
David L. Chen and William B. Dolan, In Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics, pp. 190-200, Portland, Oregon, USA, June 2011.
Learning to Interpret Natural Language Navigation Instructions from Observations 2011
David L. Chen and Raymond J. Mooney, Proceedings of the 25th AAAI Conference on Artificial Intelligence (AAAI-2011) (2011), pp. 859-865.
Panning for Gold: Finding Relevant Semantic Content for Grounded Language Learning 2011
David L. Chen and Raymond J. Mooney, In Proceedings of Symposium on Machine Learning in Speech and Language Processing (MLSLP 2011), June 2011.
Training a Multilingual Sportscaster: Using Perceptual Context to Learn Language 2010
David L. Chen, Joohyun Kim, Raymond J. Mooney, Journal of Artificial Intelligence Research, Vol. 37 (2010), pp. 397--435.
Learning Language from Perceptual Context 2009
David L. Chen, unpublished. Ph.D. proposal, Department of Computer Sciences, University of Texas at Austin.
Learning to Sportscast: A Test of Grounded Language Acquisition 2008
David L. Chen and Raymond J. Mooney, In Proceedings of the 25th International Conference on Machine Learning (ICML), Helsinki, Finland, July 2008.
Formerly affiliated with Machine Learning