Selected Publications

Knowledge Representation and Reasoning

• Barker, K., et.al., A Question-Answering System for AP Chemistry: Assessing KR&R Technologies, The Ninth International Conference on the Principles of Knowledge Representation and Reasoning (KR2004), 2004. (Abstract and pdf).
• Friedland, N., et.al., Towards a Quantitative, Platform-Independent Analysis of Knowledge Systems, The Ninth International Conference on the Principles of Knowledge Representation and Reasoning (KR2004), 2004. (Abstract and pdf).
• Friedland, N., et.al., Project Halo: Towards a Digital Aristotle, AI Magazine, 25(4), 2004, pp. 29-48. (Abstract).
• 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 pdf).
• 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 pdf).
• 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 pdf).
• 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 pdf).

Natural Language Processing

• K. Barker, B. Agashe, S. Chaw, J. Fan, N. Friedland, M. Glass, J. Hobbs, E. Hovy, D. Israel, D. Kim, R. Mulkar-Mehta, S. Patwardhan, B. Porter, D.  Tecuci, P. Yeh. Learning by Reading: A Prototype System, Performance Baseline and Lessons Learned, Proceedings of the Twenty-Second National Conference on Artificial Intelligence (AAAI 2007) (Abstract and pdf).
• P. Yeh, B. Porter, and K. Barker. A Unified Knowledge Based Approach for Sense Disambiguation and Semantic Role Labeling. Proceedings of the Twenty-First National Conference on Artificial Intelligence (AAAI 2006) (Abstract and pdf).
• P. Yeh, B. Porter, and K. Barker. Matching Utterances to Rich Knowledge Structures to Acquire a Model of the Speaker's Goal. Proceedings of Third International Conference on Knowledge Capture 2005 (Abstract and pdf)
• J. Fan, K. Barker and B. Porter. Indirect Anaphora Resolution as Semantic Path Search Proceedings of Third International Conference on Knowledge Capture 2005 (Abstract and pdf)
• J. Fan and B. Porter. Interpreting Loosely Encoded Questions Proceedings of the Nineteenth National Conference on Artificial Intelligence 2004. (Abstract and pdf)
• J. Fan, K. Barker and B. Porter. The Knowledge Required to Interpret Noun Compounds Proceedings of the Eighteenth International Joint Conference on Artificial Intelligence 2003 (Abstract and pdf)
• 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 pdf).
• 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, pdf, Long version - pdf).
• 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. ( pdf).
• 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 pdf).
• 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 pdf).

Knowledge-Base Access

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

Machine Learning and Case-Based Reasoning

• P. Yeh, B. Porter, and K. Barker. Mining Transformation Rules for Semantic Matching. Proceedings of ECML/PKDD 2nd International Workshop on Mining Graphs, Trees and Sequences (MGTS'04). (Abstract and pdf)
• 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 pdf).
• B. Blumenthal and B. Porter (1994). Analysis and Empirical Studies of Derivational Analogy Artificial Intelligence Journal, v67 (no. 2), pp. 287-328. (Abstract and pdf).
• K. Branting and B. Porter (1991). Rules and Precedents as Complementary Warrants, AAAI-91, pp. 3-9. (Abstract and pdf).
• 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 and pdf) See also, Murray's paper on knowledge integration in AAAI'96.

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