The University of Arizona
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Portrait of Daniel Hewlett

Daniel Hewlett

Ph.D. Student, Research Assistant
Department of Computer Science
University of Arizona

Gould-Simpson Building
1040 E. 4th Street
Tucson, AZ 85721

Current

I am currently working toward a Ph.D. in Computer Science at the University of Arizona. My advisor is Prof. Paul Cohen.

Research

My primary areas of interest are Artificial Intelligence, Cognitive Science, and Natural Language Processing. At the intersection of these fields is situated natural language learning, which is the subject of my current research. Our lab has developed Wubble World, an interactive online game world for children, to gather a corpus of linguistic interaction situated within a virtual environment. Within language learning, specific interests include semantics and representation, the syntax/semantics interface, and learning by bootstrapping.

Education

Before transferring to UA in Fall 2008, I completed an M.S. in Computer Science, and my first year as a Ph.D. student, at the University of Southern California. I attended the University of Maryland, College Park as an undergraduate in Computer Science (B.S.), Linguistics (B.A.), and Philosophy (B.A.).

Publications


Conferences

Daniel Hewlett and Paul Cohen. Artificial General Segmentation. Proceedings of The Third Conference on Artificial General Intelligence (AGI-10). To Appear. [pdf]

Daniel Hewlett and Paul Cohen. Bootstrap Voting Experts. Proceedings of the Twenty-first International Joint Conference on Artificial Intelligence (IJCAI-09). 2009. [pdf]

Daniel Hewlett, Shane Hoversten, Wesley Kerr, Paul Cohen, and Yu-Han Chang. Wubble World. Proceedings of the Third Artificial Intelligence for Interactive Digital Entertainment Conference (AIIDE-07). 2007. [pdf]

Wesley Kerr, Shane Hoversten, Daniel Hewlett, Paul Cohen, Yu-Han Chang. Learning in Wubble World. Proceedings of the 6th IEEE International Conference on Learning and Development (ICDL-07). 2007. [pdf]


Workshops

Daniel Hewlett and Paul Cohen. Word Segmentation as General Chunking Psychocomputational Models of Language Acquisition Workshop (PsychoCompLA 2009). 2009. [pdf]

Daniel Hewlett, Aditya Kalyanpur, Vladimir Kovlovski, Chris Halaschek-Wiener. Effective Natural Language Paraphrasing of Ontologies on the Semantic Web. Proceedings of the End User Semantic Web Interaction Workshop (ISWC-05). 2005.