Ken Barker
Formerly affiliated Research Scientist
Homepage:
http://www.cs.utexas.edu/~kbarker
Publications
     [Expand to show all 15][Minimize]
Knowledge integration across multiple texts 2009
Doo Soon Kim, Ken Barker, and Bruce Porter, In The Fifth International Conference on Knowledge Capture (KCAP2009) 2009.
A Scalable Problem-Solver for Large Knowledge-Bases 2009
S. Chaw, K. Barker, B. Porter, D. Tecuci, and Peter Yeh, In Proceedings of the 21st International Conference on Tools with Artificial Intelligence (ICTAI 2009) 2009.
Constructing a semantic interpreter using distributional analysis 2009
Michael Glass, Ken Barker, Rekha Kumar, Guhan Ravi and Bruce Porter, In Proceedings of the Eighth Conference of the Pacific Association for Computational Linguistics 2009.
Learning by Reading: A Prototype System, Performance Baseline and Lessons Learned 2007
Ken Barker, Bhalchandra Agashe, Shaw-Yi Chaw, James Fan, Noah Friedland, Michael Glass, Jerry Hobbs, Eduard Hovy, David Israel, Doo Soon Kim, Rutu Mulkar-Mehta, Sourabh Patwardhan, Bruce Porter, Dan Tecuci, and Peter Yeh, In Proceedings of the Twenty-Second National Conference on Artificial Intelligence (AAAI 2007) 2007.
A Unified Knowledge Based Approach for Sense Disambiguation and Semantic Role Labeling 2006
Peter Yeh, Bruce Porter, Ken Barker, In Proceedings of the Twenty-First National Conference on Artificial Intelligence 2006.
Indirect Anaphora Resolution as Semantic Path Search 2005
James Fan, Ken Barker, Bruce Porter, In Proceedings of Third International Conference on Knowledge Capture 2005.
Matching Utterances to Rich Knowledge Structures to Acquire a Model of the Speaker's Goal 2005
Peter Yeh, Bruce Porter, Ken Barker, In Proceedings of Third International Conference on Knowledge Capture 2005.
A Question-Answering System for AP Chemistry: Assessing KR&R Technologies 2004
Ken Barker, Vinay K. Chaudhri, Shaw Yi Chaw, Peter E. Clark, James Fan, David Israel, Sunil Mishra, Bruce Porter, Pedro Romero, Dan Tecuci, Peter Yeh, In The Ninth International Conference on the Principles of Knowledge Representation and Reasoning (KR2004) 2004.
Mining Transformation Rules for Semantic Matching 2004
Peter Yeh, Bruce Porter, Ken Barker, In Proceedings of ECML/PKDD 2nd International Workshop on Mining Graphs, Trees and Sequences (MGTS'04) 2004.
Project Halo: Towards a Digital Aristotle 2004
Noah S. Friedland, Paul G. Allen, Gavin Matthews, Michael Witbrock, David Baxter, Jon Curtis, Blake Shepard, Pierluigi Miraglia, Jürgen Angele, Steffen Staab, Eddie Moench, Henrik Oppermann, Dirk Wenke, David Israel, Vinay Chaudhri, Bruce Porter, Ken Barker, James Fan, Shaw Yi Chaw, Peter Yeh, Dan Tecuci, Peter Clark, Artificial Intelligence Magazine, Vol. 25, 4 (2004), pp. 29-47.
Towards a Quantitative, Platform-Independent Analysis of Knowledge Systems 2004
Noah S. Friedland, Paul G. Allen, Michael Witbrock, Gavin Matthews, Nancy Salay, Pierluigi Miraglia, Jurgen Angele, Steffen Staab, David Israel, Vinay Chaudhri, Bruce Porter, Ken Barker, Peter Clark, In The Ninth International Conference on the Principles of Knowledge Representation and Reasoning (KR2004) 2004.
The Knowledge Required to Interpret Noun Compounds 2003
James Fan, Ken Barker, Bruce Porter, In Proceedings of the Eighteenth International Joint Conference on Artificial Intelligence 2003.
Using Transformations to Improve Semantic Matching 2003
Peter Yeh, Bruce Porter, Ken Barker, In Second International Conference on Knowledge Capture, October 2003.
A Library of Generic Concepts for Composing Knowledge Bases 2001
Ken Barker, Bruce Porter, and Peter Clark, In Proceedings of First International Conference on Knowledge Capture, pp. 14-21 2001.
Representing Roles and Purpose 2001
James Fan, Ken Barker, Bruce Porter, Peter Clark, In First International Conference on Knowledge Capture, October 2001.
Labs
Formerly affiliated with Knowledge Representation & Reasoning