Knowledge Representation

• P. Yeh, B. Porter, and K. Barker. Using Transformations to Improve Semantic Matching. Second International Conference on Knowledge Capture, October 23-25, 2003. (Abstract and pdf).
• J. Fan, K. Barker and B. Porter. The Knowledge Required to Interpret Noun Compounds. Eighteenth International Joint Conference on Artificial Intelligence, August 11-15, 2003. (Abstract and pdf).
• J. Fan, K. Barker, B. Porter, and P. Clark. Representing Roles and Purpose. First International Conference on Knowledge Capture, October 21-23, 2001. (Abstract and postscript).
• K. Barker, B. Porter, and P. Clark. A Library of Generic Concepts for Composing Knowledge Bases. First International Conference on Knowledge Capture, October 21-23, 2001. (Abstract and postscript).
• P. Clark, J. Thompson, K. Barker, B. Porter, V. Chaudhri, A. Rodriguez, J. Thomere, S. Mishra, Y. Gil, P. Hayes, T. Reichherzer. Knowledge Entry as the Graphical Assembly of Components. First International Conference on Knowledge Capture, October 21-23, 2001. (Abstract, compressed postscript, and PDF).
• P. Clark, J. Thompson, and B. Porter. Knowledge Patterns. Knowledge Representation Conference (KR'2000). (Abstract and Postscript)
• P. Clark and B. Porter. Building Concept Representations from Reusable Components. (Best Paper Award.) In AAAI'97, pages 369-376, CA:AAAI Press, 1997. (Abstract and postscript).
• P. Clark and B. Porter. Using Access Paths to Guide Inference with Conceptual Graphs. In Proc Int Conf on Conceptual Structures - ICCS'97 (Lecture Notes in AI vol 1257), pages 521-535, Eds: D. lukose, H. Delugach, M. Keeler, L. Searle, J. Sowa, Berlin:Springer, 1997. (Abstract and postscript).

Natural Language Generation

• James C. Lester and Bruce W. Porter, Developing and Empirically Evaluating Robust Explanation Generators: The KNIGHT Experiments. Computational Linguistics Journal, 23(1), pp. 65--101, 1997. ( Abstract and compressed postscript).
• Charles B. Callaway and James Lester (1995), Robust Natural Language Generation from Large-Scale Knowledge Bases, Proceedings of the Fourth Bar-Ilan Symposium on the Foundations of AI, 1995. ( Abstract and Postscript). In addition to the conference proceedings version, there is also a more detailed version available ( Long Version).
• J. Lester (1994), Generating Natural Language Explanations from Large-Scale Knowledge Bases, PhD Thesis, Dept CS, Univ. Texas at Austin. ( Abstract).

Automated Modeling

• J. Rickel and B. Porter (1997), Automated Modeling of Complex Systems to Answer Prediction Questions, Artificial Intelligence Journal, volume 93, numbers 1-2, pp. 201-260. ( Postscript).
• J. Rickel and B. Porter (1994), Automated Modeling for Answering Prediction Questions: Selecting the Time Scale and System Boundary, AAAI-94, pp. 1191-1198, Cambridge, MA: AAIT/MIT Press. ( Abstract and Postscript).
• J. Rickel (1995), Automated Modeling of Complex Systems for Answering Prediction Questions. PhD thesis, Dept of Computer Sciences, University of Texas at Austin. ( Abstract and Postscript).

Knowledge-Base Access

• L. Acker and B. Porter (1994) Extracting Viewpoints from Knowledge Bases, AAAI-94. (Abstract and postscript).
• L. Acker and B. Porter (1994) Access Methods for Large Knowledge Bases, (Unpublished journal-length summary of Liane's dissertation). (Abstract and postscript).
• L. Acker (1994) Access Methods for Large Knowledge Bases, (Liane's PhD dissertation). (postscript).

Machine Learning and Case-Based Reasoning

• R. Bareiss, B. Porter and R. Holte (1990). Concept Learning and Heuristic Classification in Weak-Theory Domains, Artificial Intelligence Journal, v45 (nos. 1-2), pp. 229-264. (Abstract and postscript).

• B. Blumenthal and B. Porter (1994). Analysis and Empirical Studies of Derivational Analogy Artificial Intelligence Journal, v67 (no. 2), pp. 287-328. (Abstract and postscript).

• K. Branting and B. Porter (1991). Rules and Precedents as Complementary Warrants, AAAI-91, pp. 3-9. (Abstract and postscript).

• K. Murray and B. Porter (1989). Controlling Search for the Consequences of New Information during Knowledge Integration, Proc. 6th Int. Machine Learning Conference, pp. 290-295, CA: Kaufmann. ( Abstract).

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Last modified July 27, 2000