A while back, I used to be a graduate student in the Department
of Computer Sciences at the University
of Texas at Austin. I was a key member of the Knowledge Systems Research
Group headed by Bruce Porter.
Education: Ph.D., Computer Sciences, The University of Texas at Austin (2009)
Advisor: Bruce Porter
Dissertation title: Addressing the Brittleness of Knowledge-Based Question-Answering
Jason Chaw received his Ph.D. in Computer Sciences from the University of Texas at Austin. His research interests include question-answering,
knowledge representation and reasoning, natural language processing, and machine learning. Jason was a key contributor to the
Halo and Machine Reading projects. His dissertation studied methods at addressing the problem faced by users in using
unfamiliar knowledge bases to answer questions. During this time, he built the ASKME research prototype, which is an
integral component to support question-answering in Project Halo. External evaluations have shown the work to make
significant progress towards helping users use unfamiliar knowledge bases to answer questions.
After graduation, Jason joined IBM Research to work on extending the capabilities of the Watson question-answering system.
He contributed to a computational resource of common sense knowledge to help Watson answer questions. In particular, Jason
investigated methods that learn to extract knowledge from text, a key requirement for the Watson system. Recently, the
Watson system was showcased on national television by competing as a contestant on the Jeopardy! game-show.
My famous back of the envelope plot to the all-too-important question, "When do you know you can graduate with a Ph.D.?".
- P. Clark, S. Chaw, K. Barker, V. Chaudhri, J.Fan,
J. Thompson, P. Harrison, B. John, B. Porter, A. Spaulding, P. Yeh.
Capturing and Answering Questions Posed to a Knowledge-Based System
. In Proceedings of the Fourth International Conference on
Knowledge Capture (KCAP 2007). Whistler, Canada.
- S. Chaw, J.Fan, D. Tecuci, P.Yeh.
Capturing a Taxonomy of Failures During Automatic Interpretation of
Questions Posed in Natural Language . In Proceedings of the Fourth
International Conference on Knowledge Capture (KCAP 2007). Whistler,
- S. Chaw, K. Barker, B. Porter, P. Yeh.
Towards an Ontology-Independent Problem-Solver.
AI Technical Report TR-07-349, Department of Computer Sciences, University of Texas at Austin.
- K. Barker, V. Chaudhri, S. Chaw, P. Clark,
B. John, S. Mishra, J. Pacheco, B. Porter & A. Spaulding.
Domain Experts to Construct Declarative Knowledge Bases from Science
Textbooks.In Proceedings of the Twenty-Second National Conference on
Artificial Intelligence (AAAI 2007). Vancouver, Canada.
- K. Barker, B. Agashe, S. Chaw, J. Fan, N. Friedland,
M. Glass, J. Hobbs, E. Hovy, D. Israel, D. Kim, R. Mulkar,
S. Patwardhan, B. Porter, D. Tecuci & P. Yeh. Learning by Reading:
A Prototype System, Performance Baseline and Lessons Learned.
In Proceedings of the Twenty-Second National Conference on Artificial
Intelligence (AAAI 2007). Vancouver, Canada.
- S. Chaw, B. Porter. A Knowledge-Based Approach to
Answering Novel Questions. In Proceedings of the 3rd International
Workshop on Knowledge and Reasoning for Answering Questions (KRAQ
2007), Hyderabad, India, January 2007.
- N. Friedland, P. Allen, P. Matthews, M. Witbrock, D. Baxter,
J. Curtis, B. Shepard, P. Miraglia, J. Angele, S. Staab, E. Moench,
H. Oppermann, D. Wenke, D. Israel, V. Chaudhri, B. Porter, K. Barker,
J. Fan, S. Chaw, P. Yeh, D. Tecuci & P. Clark. Project Halo:
Towards a Digital Aristotle. AI Magazine 25(4)
- K. Barker, S. Chaw, J. Fan, B. Porter, D. Tecuci, P. Yeh,
V. Chaudhri, D. Israel, S. Mishra, P. Romero, P. Clark. A
question-answering system for AP Chemistry: Assessing KR&R
Technologies. In Proceedings of the Ninth International Conference on
the Principles of Knowledge Representation and Reasoning (KR
2004). Whistler, Canada
Department of Computer Sciences
Bill & Melinda Gates Computer Science Complex
The University of Texas at Austin
Email: jchaw (at) cs.utexas.edu