Probabilistic Techniques for Discourse Interpretation

Kowadlo, G., Ye, P., and Zukerman, I. (2010), Influence of Gestural Salience on the Interpretation of Spoken Requests. In Interspeech 2010 Proceedings, pp. 2034-2037, Makuhari, Japan.

Zukerman, I., Ye, P., Gupta, K. and Makalic, E. (2009), Towards the Interpretation of Utterance Sequences in a Dialogue System. In SIGDIAL 2009 Proceedings -- The 10th Annual SIGDIAL Meeting on Discourse and Dialogue, London, United Kingdom.

Zukerman, I., Makalic, E., Niemann, M., and George, S. (2008), A Probabilistic Approach to the Interpretation of Spoken Utterances. In PRICAI08 Proceedings -- the Tenth Pacific Rim International Conference on Artificial Intelligence, pp. 581-592, Hanoi, Viet Nam.

Makalic, E., Zukerman, I., Niemann, M., and Schmidt, D. (2008), A Probabilistic Model for Understanding Composite Spoken Descriptions. In PRICAI08 Proceedings -- the Tenth Pacific Rim International Conference on Artificial Intelligence, pp. 750-759, Hanoi, Viet Nam.

Plan Recognition in Physical Spaces

(also see KUBADJI PROJECT)

Bohnert, F., Schmidt, D.F. and Zukerman, I. (2009), Spatial Processes for Recommender Systems. In IJCAI09 -- Proceedings of the 21st International Joint Conference on Artificial Intelligence, pp. 2022-2027, Pasadena, California.

Bohnert, F. and Zukerman, I. (2009), Non-Intrusive Personalisation of the Museum Experience. In UMAP'09 Proceedings -- the Twelfth International Conference on User Modeling, Adaptation and Personalization, pp. 197-209, Trento, Italy.

Schmidt, D.F., Zukerman, I. and Albrecht, D.W. (2009), Impact of Measurement Uncertainty on User Models in Spatial Domains. In UMAP'09 Proceedings -- the Twelfth International Conference on User Modeling, Adaptation and Personalization, pp. 210-222, Trento, Italy.

Bohnert, F., Zukerman, I., Berkovsky, S., Baldwin, T., and Sonenberg, L. (2008), Using Interest and Transition Models to Predict Visitor Locations in Museums. In AI Communications 21(2-3) -- Special Issue on Recommender Systems, pages 195-202, 2008.

Employing Linguistic and Statistical Resources

Seroussi, Y., Smyth, R., and Zukerman, I. (2011), Ghosts from the High Court's Past: Evidence from Computational Linguistics for Dixon Ghosting for McTiernan and Rich. University of New South Wales Law Journal, 34(3), 984-1005.

Marom, Y. and Zukerman, I. (2009), An Empirical Study of Corpus-based Response Automation Methods for an Email-based Help-desk Domain. Computational Linguistics 35(4), 1-39, MIT Press.

Zukerman, I. and Horvitz, E. (2001), Using Machine Learning Techniques to Interpret WH-questions. In ACL01 Proceedings -- the 39th Annual Meeting of the Association for Computational Linguistics, pp. 547-554, Toulouse, France.

Bayesian networks for Argument Interpretation

George, S., Zukerman, I., and Niemann, M. (2007), Inferences, Suppositions and Explanatory Extensions in Argument Interpretation. In User Modeling and User-Adapted Interaction, 17(5), 439-474, Springer.

Zukerman, I. and George, S. (2005), A Probabilistic Approach for Argument Interpretation. User Modeling and User-Adapted Interaction 15(1), 5-53, Special Issue on Language-Based Interaction, Springer.

George, S., Zukerman, I., and Niemann, M. (2005), Modeling Suppositions in Users' Arguments. In UM05 Proceedings -- the Tenth International Conference on User Modeling, Edinburgh, Scotland.

George, S., Zukerman, I., and Niemann, M. (2004), An Anytime Algorithm for Interpreting Arguments. In PRICAI04 Proceedings -- the Eighth Pacific Rim International Conference on Artificial Intelligence, pp. 311-321, Auckland, New Zealand.

Zukerman, I., George, S., and George, M. (2003), Incorporating a User Model into an Information Theoretic Framework for Argument Interpretation. In UM03 Proceedings -- the Ninth International Conference on User Modeling, pp. 106-116, Johnstown, Pennsylvania.

Bayesian networks for Argument Generation

Zukerman, I. (2001), An Integrated Approach for Generating Arguments and Rebuttals and Understanding Rejoinders. In UM01 Proceedings -- the Eighth International Conference on User Modeling, pp. 84-94, Sonthofen, Germany.

Jitnah, N., Zukerman, I., McConachy, R. and George, S. (2000), Towards the Generation of Rebuttals in a Bayesian Argumentation System. In INLG'2000 Proceedings -- the First International Natural Language Generation Conference, pp. 39-46, Mitzpe Ramon, Israel.

Zukerman, I., McConachy, R., Korb, K. and Pickett, D. (1999), Exploratory Interaction with a Bayesian Argumentation System. In IJCAI99 Proceedings -- the Sixteenth International Joint Conference on Artificial Intelligence, pp. 1294-1299, Stockholm, Sweden, Morgan Kaufmann Publishers.

McConachy, R., Korb, K., and Zukerman, I. (1998), Deciding What Not to Say: An Attentional-Probabilistic Approach to Argument Presentation. In Proceedings of the Twentieth Annual Meeting of the Cognitive Science Society , pp. 669-674, Madison, Wisconsin.

Zukerman, I., McConachy, R., and Korb, K. (1998), Bayesian Reasoning in an Abductive Mechanism for Argument Generation and Analysis. In AAAI98 Proceedings -- the Fifteenth National Conference on Artificial Intelligence , pp. 833-838, Madison, Wisconsin.

Korb, K., McConachy, R., and Zukerman, I. (1997), A Cognitive Model of Argumentation. In Proceedings of the Nineteenth Annual Conference of the Cognitive Science Society, pp. 400-405, Stanford, California, Lawrence Erlbaum Associates, Publishers. Also available as Technical Report No. 97/306, Department of Computer Science, Monash University, February 1997.

Plan Recognition in Dynamic Domains

Zukerman, I., Albrecht, D., Nicholson, A. and Doktor, K. (2000), Trading off Granularity against Complexity in Predictive Models for Complex Domains. In PRICAI2000 Proceedings -- the Sixth International Pacific Rim Conference on Artificial Intelligence, Melbourne, Australia.

Albrecht, D., Zukerman, I., and Nicholson, A. (1999), Pre-sending Documents on the WWW: A Comparative Study. In IJCAI99 Proceedings -- the Sixteenth International Joint Conference on Artificial Intelligence, pp. 1274-1279, Stockholm, Sweden, Morgan Kaufmann Publishers.

Zukerman, I., Albrecht, D., and Nicholson, A. (1999), Predicting Users' Requests on the WWW. In UM99 Proceedings -- the Seventh International Conference on User Modeling, pp. 275-284, Banff, Canada, Springer-Verlag.

Albrecht, D.W., Zukerman, I. and Nicholson, A.E. (1998), Bayesian Models for Keyhole Plan Recognition in an Adventure Game. User Modeling and User-Adapted Interaction 8(1-2), Special Issue on Machine Learning in User Modeling, 5-47, Kluwer Academic Publishers.

Automatic Description Generation (WISHFUL)

Zukerman, I. and McConachy, R. (1995), Generating Discourse across Several User Models: Maximizing Belief while Avoiding Boredom and Overload. In IJCAI-95 Proceedings -- the International Joint Conference on Artificial Intelligence , pp. 1251-1257, Montreal, Canada, Morgan Kaufmann Publishers.

Zukerman, I. and McConachy, R. (1993), Generating Concise Discourse that Addresses a User's Inferences. In IJCAI-93 Proceedings -- the International Joint Conference on Artificial Intelligence, pp. 1202-1207, Chambery, France, Morgan Kaufmann Publishers.

Zukerman, I. and McConachy, R. (1993), An Optimizing Method for Structuring Inferentially Linked Discourse. In AAAI-93 Proceedings -- the Eleventh National Conference on Artificial Intelligence , pp. 202-207, Washington, D.C., MIT Press.

Zukerman, I. and McConachy, R. (1993), Consulting a User Model to Address a User's Inferences during Content Planning. User Modeling and User Adapted Interaction 3(2), 155-185, Kluwer Academic Publishers.

Other Projects

Han, Y. and Zukerman, I. (1997), A Mechanism for Multimodal Presentation Planning based on Agent Cooperation and Negotiation. Journal of Human-Computer Interaction 12(1-2), Special Issue on Multimodal Interfaces, 187-226, Lawrence Erlbaum Associates, Publishers.

Leckie, C. and Zukerman, I. (1998), Inductive learning of search control rules for planning. Artificial Intelligence 101(1-2), 63-98, Elsevier.

Nicholson, A., Zukerman, I., and Oliver, C. (1998), Towards a Society of Affect-driven Agents. In Proceedings of the Twentieth Annual Meeting of the Cognitive Science Society , pp. 776-781, Madison, Wisconsin.

Raskutti, B. and Zukerman, I. (1997), Generating Queries and Replies during Information-seeking Interactions. International Journal of Human Computer Studies 47(6), 689-734. Also available as Technical Report No. 97/316, Department of Computer Science, Monash University, April 1997.

Raskutti, B. and Zukerman, I. (1991), Generation and Selection of Likely Interpretations during Plan Recognition. User Modeling and User Adapted Interaction 1(4), Special Issue on Plan Recognition, 323-353, Kluwer Academic Publishers. A modified version appears as Technical Report No. 91/157, Department of Computer Science, Monash University, December 1992.

Zukerman, I. (1991), Using Meta-Comments to Generate Fluent Text in a Technical Domain. Computational Intelligence 7(4), Special Issue on Natural Language Generation, 276-295.

Also see publications in Departmental List.