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Ingrid Zukerman: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Ingrid Zukerman
    Goal-based Generation of Motivational Expressions in a Learning Environment. [Citation Graph (0, 0)][DBLP]
    AAAI, 1987, pp:327-333 [Conf]
  2. Ingrid Zukerman, Richard McConachy
    An Optimizing Method for Structuring Inferentially Linked Discourse. [Citation Graph (0, 0)][DBLP]
    AAAI, 1993, pp:202-207 [Conf]
  3. Ingrid Zukerman, Richard McConachy, Kevin B. Korb
    Bayesian Reasoning in an Abductive Mechanism for Argument Generation and Analysis. [Citation Graph (0, 0)][DBLP]
    AAAI/IAAI, 1998, pp:833-838 [Conf]
  4. Ingrid Zukerman, Judea Pearl
    Comprehension-Driven Generation of Meta-Technical Utterances in Math Tutoring. [Citation Graph (0, 0)][DBLP]
    AAAI, 1986, pp:606-611 [Conf]
  5. Stephanie Elzer, Sandra Carberry, Daniel Chester, Seniz Demir, Nancy Green, Ingrid Zukerman, Keith Trnka
    Exploring and Exploiting the Limited Utility of Captions in Recognizing Intention in Information Graphics. [Citation Graph (0, 0)][DBLP]
    ACL, 2005, pp:- [Conf]
  6. Sarah George, Ingrid Zukerman, Mark George
    An information-theoretic approach for argument interpretation in a conversational setting. [Citation Graph (0, 0)][DBLP]
    AAMAS, 2003, pp:992-993 [Conf]
  7. Christian Guttmann, Ingrid Zukerman
    Voting policies that cope with unreliable agents. [Citation Graph (0, 0)][DBLP]
    AAMAS, 2005, pp:365-372 [Conf]
  8. Sarah George, Ingrid Zukerman
    Argument Interpretation Using Minimum Message Length. [Citation Graph (0, 0)][DBLP]
    Australian Joint Conference on Artificial Intelligence, 2002, pp:297-308 [Conf]
  9. Lai Leng Hui, Ingrid Zukerman
    Common-sense Resolution of Syntactic Ambiguity in Database Queries. [Citation Graph (0, 0)][DBLP]
    Australian Joint Conference on Artificial Intelligence, 1988, pp:396-409 [Conf]
  10. Pawel Kowalczyk, Ingrid Zukerman, Michael Niemann
    Analyzing the Effect of Query Class on Document Retrieval Performance. [Citation Graph (0, 0)][DBLP]
    Australian Conference on Artificial Intelligence, 2004, pp:550-561 [Conf]
  11. Jonathan J. Oliver, Ingrid Zukerman
    DISSOLVE: A System for the Generation of Human Oriented Solutions to Algebraic Equations. [Citation Graph (0, 0)][DBLP]
    Australian Joint Conference on Artificial Intelligence, 1988, pp:92-107 [Conf]
  12. Ingrid Zukerman, Yee Han Cheong
    Contradictions and Revisions as Explanatory Aids in the Delivery of Technical Information. [Citation Graph (0, 0)][DBLP]
    Australian Joint Conference on Artificial Intelligence, 1988, pp:124-139 [Conf]
  13. Ingrid Zukerman, Yuval Marom
    A Comparative Study of Information-Gathering Approaches for Answering Help-Desk Email Inquiries. [Citation Graph (0, 0)][DBLP]
    Australian Conference on Artificial Intelligence, 2006, pp:546-556 [Conf]
  14. Ingrid Zukerman, Michael Niemann, Sarah George
    Improving the Presentation of Argument Interpretations Based on User Trials. [Citation Graph (0, 0)][DBLP]
    Australian Conference on Artificial Intelligence, 2004, pp:587-598 [Conf]
  15. Ingrid Zukerman, Michael Niemann, Sarah George, Yuval Marom
    Probabilistic, Multi-staged Interpretation of Spoken Utterances. [Citation Graph (0, 0)][DBLP]
    Australian Conference on Artificial Intelligence, 2006, pp:1215-1220 [Conf]
  16. Ingrid Zukerman, Bhavani Raskutti, Yingying Wen
    Experiments in Query Paraphrasing for Information Retrieval. [Citation Graph (0, 0)][DBLP]
    Australian Joint Conference on Artificial Intelligence, 2002, pp:24-35 [Conf]
  17. Yi Han, Ingrid Zukerman
    Using Cooperative Agents to Plan Multimodal Presentations. [Citation Graph (0, 0)][DBLP]
    Multimodal Human-Computer Communication, 1995, pp:122-157 [Conf]
  18. Ingrid Zukerman, Sarah George
    Towards a Noise-Tolerant, Representation-Independent Mechanism for Argument Interpretation. [Citation Graph (0, 0)][DBLP]
    COLING, 2002, pp:- [Conf]
  19. Ingrid Zukerman, Bhavani Raskutti
    Lexical Query Paraphrasing for Document Retrieval. [Citation Graph (0, 0)][DBLP]
    COLING, 2002, pp:- [Conf]
  20. Werner Winiwarter, Ingrid Zukerman, Tsunenori Mine
    Message from the NLIS Workshop Chairs. [Citation Graph (0, 0)][DBLP]
    DEXA Workshops, 2002, pp:201-204 [Conf]
  21. Yi Han, Ingrid Zukerman
    Constraint Propagation in a Cooperative Approach for Multimodal Presentation Planning. [Citation Graph (0, 0)][DBLP]
    ECAI, 1996, pp:256-260 [Conf]
  22. Richard McConachy, Ingrid Zukerman
    Using Argument Graphs to Generate Arguments. [Citation Graph (0, 0)][DBLP]
    ECAI, 1996, pp:592-598 [Conf]
  23. Bhavani Raskutti, Ingrid Zukerman
    Acquisition of Information to Determine a User's Plan. [Citation Graph (0, 0)][DBLP]
    ECAI, 1994, pp:28-32 [Conf]
  24. Ingrid Zukerman, Richard McConachy
    Being Concise versus Being Shallow: Two Competing Discourse Planning Paradigms. [Citation Graph (0, 0)][DBLP]
    ECAI, 1994, pp:515-519 [Conf]
  25. Christopher Leckie, Ingrid Zukerman
    Learning Search Control Rules for Planning: An Inductive Approach. [Citation Graph (0, 0)][DBLP]
    ML, 1991, pp:422-426 [Conf]
  26. Ingrid Zukerman, Bhavani Raskutti, Yingying Wen
    Query Expansion and Query Reduction in Document Retrieval. [Citation Graph (0, 0)][DBLP]
    ICTAI, 2003, pp:552-559 [Conf]
  27. David W. Albrecht, Ingrid Zukerman, Ann E. Nicholson
    Pre-sending Documents on the WWW: A Comparative Study. [Citation Graph (0, 0)][DBLP]
    IJCAI, 1999, pp:1274-1279 [Conf]
  28. Stephanie Elzer, Sandra Carberry, Ingrid Zukerman, Daniel Chester, Nancy Green, Seniz Demir
    A Probabilistic Framework for Recognizing Intention in Information Graphics. [Citation Graph (0, 0)][DBLP]
    IJCAI, 2005, pp:1042-1047 [Conf]
  29. Christopher Leckie, Ingrid Zukerman
    An Inductive Approach to Learning Search Control Rules for Planning. [Citation Graph (0, 0)][DBLP]
    IJCAI, 1993, pp:1100-1105 [Conf]
  30. Ingrid Zukerman, Richard McConachy
    Generating Concise Discourse that Addresses a Users Inferences. [Citation Graph (0, 0)][DBLP]
    IJCAI, 1993, pp:1202-1207 [Conf]
  31. Ingrid Zukerman, Richard McConachy
    Generating Discourse across Several User Models: Maximizing Belief while Avoiding Boredom and Overload. [Citation Graph (0, 0)][DBLP]
    IJCAI, 1995, pp:1251-1259 [Conf]
  32. Ingrid Zukerman, Richard McConachy, Kevin B. Korb, Deborah Pickett
    Exploratory Interaction with a Bayesian Argumentation System. [Citation Graph (0, 0)][DBLP]
    IJCAI, 1999, pp:1294-1299 [Conf]
  33. Yuval Marom, Ingrid Zukerman
    A Predictive Approach to Help-Desk Response Generation. [Citation Graph (0, 0)][DBLP]
    IJCAI, 2007, pp:1665-1670 [Conf]
  34. Yuval Marom, Ingrid Zukerman
    Analysis and Synthesis of Help-Desk Responses. [Citation Graph (0, 0)][DBLP]
    KES (3), 2005, pp:890-897 [Conf]
  35. Christian Guttmann, Ingrid Zukerman
    Towards Models of Incomplete and Uncertain Knowledge of Collaborators' Internal Resources. [Citation Graph (0, 0)][DBLP]
    MATES, 2004, pp:58-72 [Conf]
  36. David W. Albrecht, Ann E. Nicholson, Ingrid Zukerman
    Knowledge Acquisition for Goal Prediction in a Multi-user Adventure Game. [Citation Graph (0, 0)][DBLP]
    PAKDD, 1998, pp:1-12 [Conf]
  37. Sarah George, Ingrid Zukerman, Michael Niemann
    An Anytime Algorithm for Interpreting Arguments. [Citation Graph (0, 0)][DBLP]
    PRICAI, 2004, pp:311-321 [Conf]
  38. Yuval Marom, Ingrid Zukerman
    Improving Newsgroup Clustering by Filtering Author-Specific Words. [Citation Graph (0, 0)][DBLP]
    PRICAI, 2004, pp:953-954 [Conf]
  39. Ann E. Nicholson, Ingrid Zukerman, David W. Albrecht
    A Decision-Theoretic Approach for Pre-sending Information on the WWW. [Citation Graph (0, 0)][DBLP]
    PRICAI, 1998, pp:575-586 [Conf]
  40. Bhavani Raskutti, Ingrid Zukerman
    A Unified Approach to Handling Uncertainty during Cooperative Consultations. [Citation Graph (0, 0)][DBLP]
    PRICAI, 1996, pp:85-96 [Conf]
  41. Ian Thomas, Ingrid Zukerman, Jonathan J. Oliver, Bhavani Raskutti
    Lexical Access using Minimum Message Length Encoding. [Citation Graph (0, 0)][DBLP]
    PRICAI, 1996, pp:229-240 [Conf]
  42. Ingrid Zukerman, David W. Albrecht, Ann E. Nicholson, Krystyna Doktor
    Trading Off Granularity against Complexity. [Citation Graph (0, 0)][DBLP]
    PRICAI, 2000, pp:241-251 [Conf]
  43. Ingrid Zukerman, Nathalie Jitnah, Richard McConachy, Sarah George
    Recognizing Intentions from Rejoinders in a Bayesian Interactive Argumentation System. [Citation Graph (0, 0)][DBLP]
    PRICAI, 2000, pp:252-263 [Conf]
  44. Bhavani Raskutti, Ingrid Zukerman
    Handling Uncertainty During Plan Recognition in Task-Oriented Consultation Systems. [Citation Graph (0, 0)][DBLP]
    UAI, 1991, pp:308-315 [Conf]
  45. Ian Thomas, Ingrid Zukerman, Jonathan J. Oliver, David W. Albrecht, Bhavani Raskutti
    Lexical Access for Speech Understanding using Minimum Message Length Encoding. [Citation Graph (0, 0)][DBLP]
    UAI, 1997, pp:464-471 [Conf]
  46. Sarah George, Ingrid Zukerman, Michael Niemann
    Modeling Suppositions in Users' Arguments. [Citation Graph (0, 0)][DBLP]
    User Modeling, 2005, pp:19-29 [Conf]
  47. Ingrid Zukerman
    An Integrated Approach for Generating Arguments and Rebuttals and Understanding Rejoinders. [Citation Graph (0, 0)][DBLP]
    User Modeling, 2001, pp:84-94 [Conf]
  48. Ingrid Zukerman, Christian Guttmann
    Modeling Agents That Exhibit Variable Performance in a Collaborative Setting. [Citation Graph (0, 0)][DBLP]
    User Modeling, 2005, pp:210-219 [Conf]
  49. Ingrid Zukerman, Sarah George, Mark George
    Incorporating a User Model into an Information Theoretic Framework for Argument Interpretation. [Citation Graph (0, 0)][DBLP]
    User Modeling, 2003, pp:106-116 [Conf]
  50. Ingrid Zukerman, Michael Niemann, Sarah George
    Probabilistic, Multi-staged Interpretation of Spoken Utterances. [Citation Graph (0, 0)][DBLP]
    CIMCA/IAWTIC, 2006, pp:194- [Conf]
  51. Ingrid Zukerman, Yuval Marom
    A corpus-based approach to help-desk response generation. [Citation Graph (0, 0)][DBLP]
    CIMCA/IAWTIC, 2006, pp:23- [Conf]
  52. Christopher Leckie, Ingrid Zukerman
    Inductive Learning of Search Control Rules for Planning. [Citation Graph (0, 0)][DBLP]
    Artif. Intell., 1998, v:101, n:1-2, pp:63-98 [Journal]
  53. Kristiina Jokinen, Mark T. Maybury, Michael Zock, Ingrid Zukerman
    Gaps and Bridges: New Directions in Planning and Natural Language Generation (Workshop Report). [Citation Graph (0, 0)][DBLP]
    AI Magazine, 1997, v:18, n:1, pp:133-136 [Journal]
  54. Ingrid Zukerman
    A predictive approach for the generation of rhetorical devices. [Citation Graph (0, 0)][DBLP]
    Computational Intelligence, 1990, v:6, n:, pp:25-40 [Journal]
  55. Ingrid Zukerman, Richard McConachy
    Wishful: A Discourse Planning System That Considers a User's Inferences. [Citation Graph (0, 0)][DBLP]
    Computational Intelligence, 2001, v:17, n:1, pp:1-61 [Journal]
  56. Ingrid Zukerman
    Argumentation Machines: New Frontiers in Argumentation and Computation edited by Chris ReedTimothy J. Norman. [Citation Graph (0, 0)][DBLP]
    Computational Linguistics, 2005, v:31, n:1, pp:153-155 [Journal]
  57. Richard McConachy, Ingrid Zukerman
    Dialogue Requirements for Argumentation Systems. [Citation Graph (0, 0)][DBLP]
    Electron. Trans. Artif. Intell., 1999, v:3, n:D, pp:89-124 [Journal]
  58. Bhavani Raskutti, Ingrid Zukerman
    Generating queries and replies during information-seeking interactions. [Citation Graph (0, 0)][DBLP]
    Int. J. Hum.-Comput. Stud., 1997, v:47, n:6, pp:689-734 [Journal]
  59. David W. Albrecht, Ingrid Zukerman, Ann E. Nicholson
    Bayesian Models for Keyhole Plan Recognition in an Adventure Game. [Citation Graph (0, 0)][DBLP]
    User Model. User-Adapt. Interact., 1998, v:8, n:1-2, pp:5-47 [Journal]
  60. Sandra Carberry, Ingrid Zukerman
    Preface to the Special Issue on Language-Based Interaction. [Citation Graph (0, 0)][DBLP]
    User Model. User-Adapt. Interact., 2005, v:15, n:1-2, pp:1-3 [Journal]
  61. Bhavani Raskutti, Ingrid Zukerman
    Generation and Selection of Likely Interpretations during Plan Recognition in Task-Oriented Consultation Systems. [Citation Graph (0, 0)][DBLP]
    User Model. User-Adapt. Interact., 1991, v:1, n:3-4, pp:323-353 [Journal]
  62. Ingrid Zukerman, David W. Albrecht
    Predictive Statistical Models for User Modeling. [Citation Graph (0, 0)][DBLP]
    User Model. User-Adapt. Interact., 2001, v:11, n:1-2, pp:5-18 [Journal]
  63. Ingrid Zukerman, Sarah George
    A Probabilistic Approach for Argument Interpretation. [Citation Graph (0, 0)][DBLP]
    User Model. User-Adapt. Interact., 2005, v:15, n:1-2, pp:5-53 [Journal]
  64. Ingrid Zukerman, Diane J. Litman
    Natural Language Processing and User Modeling: Synergies and Limitations. [Citation Graph (0, 0)][DBLP]
    User Model. User-Adapt. Interact., 2001, v:11, n:1-2, pp:129-158 [Journal]
  65. Ingrid Zukerman, Richard McConachy
    Consulting a User Model to Address a User's Inference during Content Planning. [Citation Graph (0, 0)][DBLP]
    User Model. User-Adapt. Interact., 1993, v:3, n:2, pp:155-185 [Journal]
  66. Yuval Marom, Ingrid Zukerman, Nathalie Japkowicz
    A Meta-learning Approach for Selecting between Response Automation Strategies in a Help-desk Domain. [Citation Graph (0, 0)][DBLP]
    AAAI, 2007, pp:907-912 [Conf]
  67. David W. Albrecht, Ingrid Zukerman
    Introduction to the special issue on statistical and probabilistic methods for user modeling. [Citation Graph (0, 0)][DBLP]
    User Model. User-Adapt. Interact., 2007, v:17, n:1-2, pp:1-4 [Journal]

  68. Using Collaborative Models to Adaptively Predict Visitor Locations in Museums. [Citation Graph (, )][DBLP]


  69. Aspect-Based Personalized Text Summarization. [Citation Graph (, )][DBLP]


  70. Hypothesis Generation and Maintenance in the Interpretation of Spoken Utterances. [Citation Graph (, )][DBLP]


  71. Towards Interpreting Task-Oriented Utterance Sequences. [Citation Graph (, )][DBLP]


  72. Using Probabilistic Feature Matching to Understand Spoken Descriptions. [Citation Graph (, )][DBLP]


  73. Using Viewing Time for Theme Prediction in Cultural Heritage Spaces. [Citation Graph (, )][DBLP]


  74. Using Keyword-Based Approaches to Adaptively Predict Interest in Museum Exhibits. [Citation Graph (, )][DBLP]


  75. Spatial Processes for Recommender Systems. [Citation Graph (, )][DBLP]


  76. Using Gaussian Spatial Processes to Model and Predict Interests in Museum Exhibits. [Citation Graph (, )][DBLP]


  77. A hybrid architecture for strategically complex imperfect information games. [Citation Graph (, )][DBLP]


  78. A Probabilistic Approach to the Interpretation of Spoken Utterances. [Citation Graph (, )][DBLP]


  79. A Probabilistic Model for Understanding Composite Spoken Descriptions. [Citation Graph (, )][DBLP]


  80. Assessing the Impact of Measurement Uncertainty on User Models in Spatial Domains. [Citation Graph (, )][DBLP]


  81. Non-intrusive Personalisation of the Museum Experience. [Citation Graph (, )][DBLP]


  82. A User-and Item-Aware Weighting Scheme for Combining Predictive User Models. [Citation Graph (, )][DBLP]


  83. Personalised Pathway Prediction. [Citation Graph (, )][DBLP]


  84. Collaborative Inference of Sentiments from Texts. [Citation Graph (, )][DBLP]


  85. Towards the Interpretation of Utterance Sequences in a Dialogue System. [Citation Graph (, )][DBLP]


  86. Using interest and transition models to predict visitor locations in museums. [Citation Graph (, )][DBLP]


  87. An Empirical Study of Corpus-Based Response Automation Methods for an E-mail-Based Help-Desk Domain. [Citation Graph (, )][DBLP]


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