Ingrid Zukerman's Research and Publications Page

Main Areas of Research

My main areas of research are Natural Language Processing and User Modeling.

Selected Publications

Survey papers

(in User Modeling and User Adapted Interaction -- 10 year anniversary special issue)

[Retrieve] Zukerman, I. and Albrecht, D. (2001), Predictive Statistical Models for User Modeling. User Modeling and User-Adapted Interaction, 11(1-2), 5-18. Invited paper.

[Retrieve] Zukerman, I. and Litman, D. (2001), Natural Language Processing and User Modeling: Synergies and Limitations. User Modeling and User-Adapted Interaction, 11(1-2), 129-158. Invited paper.


Employing Linguistic and Statistical Resources for Question Answering

(with Pawel Kowalczyk, Yuval Marom, Michael Niemann, Eric Horvitz , Bhavani Raskutti and Ying Ying Wen)

[Retrieve] Zukerman, I. and Marom, Y. (2004), Filtering Speaker-Specific Words from Electronic Discussions. In COLING04 Proceedings -- the 20th International Conference on Computational Linguistics, pp. 73-79, Geneva, Switzerland.

[Retrieve] Kowalczyk, P., Zukerman, I., and Niemann, M. (2004), Analyzing the Effect of Query Class on Document Retrieval Performance. In AI'04 Proceedings -- the 17th Australian Joint Conference on Artificial Intelligence, pp. 550-561, Cairns, Australia.

[Retrieve] Zukerman, I., Raskutti, B. and Wen, Y. (2003), Query Expansion and Query Reduction in Document Retrieval. In ICTAI2003 Proceedings -- the 15th International Conference on Tools with Artificial Intelligence, pp. 552-559, Sacramento, California.

[Retrieve] Zukerman, I. and Raskutti, B. (2002), Lexical Query Paraphrasing for Document Retrieval. In COLING 2002 Proceedings -- the 19th International Conference on Computational Linguistics, pp. 1177-1183, Taipei, Taiwan.

[Retrieve] 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.


Applying Probabilistic Techniques for Discourse Interpretation and Dialogue Processing

(with Sarah George, Michael Niemann, Ian Thomas, David Albrecht, Jon Oliver and Bhavani Raskutti)

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

[Retrieve] 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.

[Retrieve] 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.

[Retrieve] 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.

[Retrieve] Zukerman, I. and George, S. (2002), A Minimum Message Length Approach for Argument Interpretation. In Proceedings of the Third SIGdial Workshop on Discourse and Dialogue, pp. 211-220, Philadelphia, Pennsylvania.

[Retrieve] Thomas, I., Zukerman, I., Oliver, J., Albrecht, D., and Raskutti, B. (1997), Lexical Access for Speech Understanding using Minimum Message Length Encoding. In UAI97 Proceedings -- the Thirteenth Conference on Uncertainty in Artificial Intelligence , pp. 464-471, Providence, Rhode Island.


Interpretation of Short-form Rejoinders and Rebuttal Generation

(with Sarah George, Nathalie Jitnah and Richard McConachy)

[Retrieve] 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.

[Retrieve] Zukerman, I., Jitnah, N., McConachy, R. and George, S. (2000), Recognizing Intentions from Rejoinders in a Bayesian Interactive Argumentation System. In PRICAI2000 Proceedings -- the Sixth Pacific Rim International Conference on Artificial Intelligence, pp. 241-251, Melbourne, Australia.

[Retrieve] 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.


Bayesian Networks in Argument Generation

(with Kevin Korb and Richard McConachy)

[Retrieve] Zukerman, I., McConachy, R. and Korb, K. (2000), Using Argumentation Strategies in Automated Argument Generation. In INLG'2000 Proceedings -- the First International Natural Language Generation Conference, pp. 55-62, Mitzpe Ramon, Israel.

[Retrieve] 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.

[Retrieve] 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.

[Retrieve] 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.

[Retrieve] Zukerman, I., McConachy, R. and Korb, K. (1998), Attention during Argument Generation and Presentation. In INLG98 Proceedings -- the Ninth International Natural Language Generation Workshop , pp. 148-157, Niagara-on-the-Lake, Canada.

[Retrieve] 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

(with David Albrecht and Ann Nicholson)

[Retrieve] 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.

[Retrieve] 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.

[Retrieve] 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.

[Retrieve] 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)

(with Richard McConachy)

[Retrieve] 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.

[Retrieve] 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.

[Retrieve] 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.

[Retrieve] 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

[Retrieve] 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.

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

[Retrieve] 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.

[Retrieve] 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.

[Retrieve] 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.

[Retrieve] 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.