Selected Publications

Knowledge Representation and Reasoning

• D. Gunning, V. Chaudhri, P. Clark, K. Barker, S. Chaw, M. Greaves, B. Grosof, A. Leung, D. McDonald, S. Mishra, J. Pacheco, B. Porter, A. Spaulding, D. Tecuci, J. Tien, Project Halo Update -- Progress Toward Digital Aristotle, in AI Magazine, Vol 31, No 3, pages 33--58, 2010. (pdf).
• F. van Harmelen, V. Lifschitz, B. Porter, Handbook of Knowledge Representation, in the Foundations of Artificial Intelligence series, Elsevier, 2008.
• D. Kim and B. Porter, Handling Granularity Differences in Knowledge Integration , AAAI Fall Symposium on Computational Approaches to Representation Change during Learning and Development, 2007. (Abstract and pdf).
• 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).
• B. Porter, et. al., Mining Answers from Texts and KBs: Our Position, AAAI Spring Symposium on Mining Answers from Texts and Knowledge Bases, 2002. (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

• D. Kim, K. Barker, B. Porter, Improving the Quality of Text Understanding by Delaying Ambiguity Resolution, The 23rd International Conference on Computational Linguistics (COLING), 2010.
• D. Kim, K. Barker, B. Porter, Building an End-to-End Text Reading System Based on a Packed Representation, Conference of the National Chapter of the Association for Computational Linguistics: Human Language Technologies, 2010.
• D. Kim, K. Barker and B. Porter, Knowledge integration across multiple texts, The Fifth International Conference on Knowledge Capture (KCAP2009), 2009. (Abstract and pdf).
• M. Glass, K. Barker, K. Rumar, G. Ravi and B. Porter, Constructing a semantic interpreter using distributional analysis, Proceedings of the Eighth Conference of the Pacific Association for Computational Linguistics, 2009. (Abstract and pdf).
• D. Kim and B. Porter, Kleo: A Bootstrapping Learning-by-reading System, AAAI Spring Symposium on Learning by Reading and Learning to Read, 2009. (Abstract and pdf).
• M. Glass and B. Porter, Improving semantic integration by learning semantic interpretation rules AAAI Spring Symposium on Semantic Scientific Knowledge Integration, 2008. (Abstract and pdf).
• 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

• S. Chaw, K. Barker, B. Porter, D. Tecuci, and P.Yeh, A Scalable Problem-Solver for Large Knowledge-Bases, In Proceedings of the 21st International Conference on Tools with Artificial Intelligence (ICTAI 2009) 2009. (Abstract and pdf)
• D. Tecuci and B. Porter, Memory Based Goal Schema Recognition, The Twenty-second International FLAIRS Conference 2009. (Abstract and pdf).
• D. Tecuci and B. Porter, An Episodic-based Approach to Complex Event Processing, AAAI Spring Symposium on Intelligent Event Processing 2009. (Abstract and pdf).
• K. Barker, V. Chaudhri, S. Chaw, P. Clark, B. John, S. Mishra, J. Pacheco, B. Porter and A. Spaulding., Enabling Domain Experts to Construct Declarative Knowledge Bases from Science Textbooks , In Proceedings of the Twenty-Second National Conference on Artificial Intelligence (AAAI 2007) 2007. (Abstract and pdf).
• 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 (KCAP2007) 2007. (Abstract and pdf).
• 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). 2007. (Abstract and pdf).
• D. Tecuci and B. Porter, A Generic Memory Module for Events,The Twentieth International FLAIRS Conference 2007. (Abstract and pdf).
• 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) 2007. (Abstract and pdf).
• D. Tecuci and B. Porter, Using an Episodic Memory Module for Pattern Capture and Recognition, AAAI Fall Symposium on Capturing and Using Patterns for Evidence Detection 2006. (Abstract and pdf).
• 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

• D. Kim and B. Porter, Integrating declarative knowledge: Issues, Algorithms and Future Work, AAAI Spring Symposium on Semantic Scientific Knowledge Integration, 2008. (Abstract and pdf).
• 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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