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ORCIDIngrid Zukerman
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- affiliation: Monash University, Melbourne, Australia
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2020 – today
- 2025
[j33]Samuel Reinders, Matthew Butler, Ingrid Zukerman, Bongshin Lee, Lizhen Qu, Kim Marriott:
When Refreshable Tactile Displays Meet Conversational Agents: Investigating Accessible Data Presentation and Analysis with Touch and Speech. IEEE Trans. Vis. Comput. Graph. 31(1): 864-874 (2025)- 2024
- [c130]Haolan Zhan, Yufei Wang, Zhuang Li, Tao Feng, Yuncheng Hua, Suraj Sharma, Lizhen Qu, Zhaleh Semnani-Azad, Ingrid Zukerman, Reza Haffari:
Let's Negotiate! A Survey of Negotiation Dialogue Systems. EACL (Findings) 2024: 2019-2031 - [c129]Ingrid Zukerman, Sameen Maruf:
Communicating Uncertainty in Explanations of the Outcomes of Machine Learning Models. INLG 2024: 30-46 - [c128]Sameen Maruf, Ingrid Zukerman, Xuelin Situ, Cécile Paris, Gholamreza Haffari:
Generating Simple, Conservative and Unifying Explanations for Logistic Regression Models. INLG 2024: 103-120 - [c127]Haolan Zhan, Zhuang Li, Xiaoxi Kang, Tao Feng, Yuncheng Hua, Lizhen Qu, Yi Ying, Mei Rianto Chandra, Kelly Rosalin, Jureynolds Jureynolds, Suraj Sharma, Shilin Qu, Linhao Luo, Ingrid Zukerman, Lay-Ki Soon, Zhaleh Semnani-Azad, Gholamreza Haffari:
RENOVI: A Benchmark Towards Remediating Norm Violations in Socio-Cultural Conversations. NAACL-HLT (Findings) 2024: 3104-3117 - [c126]Haolan Zhan, Sameen Maruf, Ingrid Zukerman, Gholamreza Haffari:
Going beyond Imagination! Enhancing Multi-modal Dialogue Agents with Synthetic Visual Descriptions. SIGDIAL 2024: 420-427 - [i11]Haolan Zhan, Yufei Wang, Tao Feng, Yuncheng Hua, Suraj Sharma, Zhuang Li, Lizhen Qu, Zhaleh Semnani-Azad, Ingrid Zukerman, Gholamreza Haffari:
Let's Negotiate! A Survey of Negotiation Dialogue Systems. CoRR abs/2402.01097 (2024) - [i10]Yuncheng Hua, Zhuang Li, Linhao Luo, Kadek Ananta Satriadi, Tao Feng, Haolan Zhan, Lizhen Qu, Suraj Sharma, Ingrid Zukerman, Zhaleh Semnani-Azad, Gholamreza Haffari:
SADAS: A Dialogue Assistant System Towards Remediating Norm Violations in Bilingual Socio-Cultural Conversations. CoRR abs/2402.01736 (2024) - [i9]Haolan Zhan, Zhuang Li, Xiaoxi Kang, Tao Feng, Yuncheng Hua, Lizhen Qu, Yi Ying, Mei Rianto Chandra, Kelly Rosalin, Jureynolds Jureynolds, Suraj Sharma, Shilin Qu, Linhao Luo, Lay-Ki Soon, Zhaleh Semnani-Azad, Ingrid Zukerman, Gholamreza Haffari:
RENOVI: A Benchmark Towards Remediating Norm Violations in Socio-Cultural Conversations. CoRR abs/2402.11178 (2024) - [i8]Samuel Reinders, Matthew Butler, Ingrid Zukerman, Bongshin Lee, Lizhen Qu, Kim Marriott:
When Refreshable Tactile Displays Meet Conversational Agents: Investigating Accessible Data Presentation and Analysis with Touch and Speech. CoRR abs/2408.04806 (2024) - 2023
- [j32]Sameen Maruf
, Ingrid Zukerman, Ehud Reiter, Gholamreza Haffari:
Influence of context on users' views about explanations for decision-tree predictions. Comput. Speech Lang. 81: 101483 (2023) - [j31]Ingrid Zukerman, Andisheh Partovi, Jakob Hohwy:
Influence of Device Performance and Agent Advice on User Trust and Behaviour in a Care-taking Scenario. User Model. User Adapt. Interact. 33(5): 1015-1063 (2023) - [c125]Haolan Zhan, Sameen Maruf, Lizhen Qu, Yufei Wang, Ingrid Zukerman, Gholamreza Haffari:
Turning Flowchart into Dialog: Augmenting Flowchart-grounded Troubleshooting Dialogs via Synthetic Data Generation. ALTA 2023: 88-99 - [c124]Haolan Zhan, Zhuang Li, Yufei Wang, Linhao Luo, Tao Feng, Xiaoxi Kang, Yuncheng Hua, Lizhen Qu, Lay-Ki Soon, Suraj Sharma, Ingrid Zukerman, Zhaleh Semnani-Azad, Gholamreza Haffari:
SocialDial: A Benchmark for Socially-Aware Dialogue Systems. SIGIR 2023: 2712-2722 - [i7]Haolan Zhan, Zhuang Li, Yufei Wang, Linhao Luo, Tao Feng, Xiaoxi Kang, Yuncheng Hua, Lizhen Qu, Lay-Ki Soon, Suraj Sharma, Ingrid Zukerman, Zhaleh Semnani-Azad, Gholamreza Haffari:
SocialDial: A Benchmark for Socially-Aware Dialogue Systems. CoRR abs/2304.12026 (2023) - [i6]Haolan Zhan, Sameen Maruf, Lizhen Qu, Yufei Wang, Ingrid Zukerman, Gholamreza Haffari:
Turning Flowchart into Dialog: Plan-based Data Augmentation for Low-Resource Flowchart-grounded Troubleshooting Dialogs. CoRR abs/2305.01323 (2023) - 2022
- [c123]Narjes Askarian, Ehsan Abbasnejad, Ingrid Zukerman, Wray L. Buntine, Gholamreza Haffari:
Inductive Biases for Low Data VQA: A Data Augmentation Approach. WACV (Workshops) 2022: 231-240 - 2021
- [c122]Xuelin Situ, Ingrid Zukerman, Cécile Paris, Sameen Maruf, Gholamreza Haffari:
Learning to Explain: Generating Stable Explanations Fast. ACL/IJCNLP (1) 2021: 5340-5355 - [c121]Xuelin Situ, Sameen Maruf, Ingrid Zukerman, Cécile Paris, Gholamreza Haffari:
Lifelong Explainer for Lifelong Learners. EMNLP (1) 2021: 2933-2940 - [c120]Sameen Maruf, Ingrid Zukerman, Ehud Reiter, Gholamreza Haffari:
Explaining Decision-Tree Predictions by Addressing Potential Conflicts between Predictions and Plausible Expectations. INLG 2021: 114-127 - 2020
- [i5]Ann E. Nicholson, Kevin B. Korb, Erik P. Nyberg, Michael Wybrow, Ingrid Zukerman, Steven Mascaro, Shreshth Thakur, Abraham Oshni Alvandi, Jeff Riley, Ross Pearson, Shane Morris, Matthieu Herrmann, A. K. M. Azad, Fergus Bolger, Ulrike Hahn, David A. Lagnado:
BARD: A structured technique for group elicitation of Bayesian networks to support analytic reasoning. CoRR abs/2003.01207 (2020)
2010 – 2019
- 2019
- [c119]Andisheh Partovi, Ingrid Zukerman:
Influence of Time and Risk on Response Acceptability in a Simple Spoken Dialogue System. SIGdial 2019: 307-319 - [c118]Andisheh Partovi, Ingrid Zukerman, Kai Zhan, Nora Hamacher, Jakob Hohwy:
Relationship between Device Performance, Trust and User Behaviour in a Care-taking Scenario. UMAP 2019: 61-69 - 2018
- [j30]Kai Zhan, Ingrid Zukerman, Andisheh Partovi:
Identifying factors that influence the acceptability of smart devices: implications for recommendations. User Model. User Adapt. Interact. 28(4-5): 391-423 (2018) - [c117]Xuanli He, Quan Hung Tran, William Havard, Laurent Besacier, Ingrid Zukerman, Gholamreza Haffari:
Exploring Textual and Speech information in Dialogue Act Classification with Speaker Domain Adaptation. ALTA 2018: 61-65 - [c116]Quan Hung Tran, Tuan Manh Lai, Gholamreza Haffari, Ingrid Zukerman, Trung Bui, Hung Bui:
The Context-Dependent Additive Recurrent Neural Net. NAACL-HLT 2018: 1274-1283 - [i4]Xuanli He, Quan Hung Tran, William Havard, Laurent Besacier, Ingrid Zukerman, Gholamreza Haffari:
Exploring Textual and Speech information in Dialogue Act Classification with Speaker Domain Adaptation. CoRR abs/1810.07455 (2018) - 2017
- [j29]Ingrid Zukerman, Andisheh Partovi:
Improving the understanding of spoken referring expressions through syntactic-semantic and contextual-phonetic error-correction. Comput. Speech Lang. 46: 284-310 (2017) - [c115]Quan Hung Tran, Gholamreza Haffari, Ingrid Zukerman:
A Generative Attentional Neural Network Model for Dialogue Act Classification. ACL (2) 2017: 524-529 - [c114]Quan Hung Tran, Ingrid Zukerman, Gholamreza Haffari:
A Hierarchical Neural Model for Learning Sequences of Dialogue Acts. EACL (1) 2017: 428-437 - [c113]Quan Hung Tran, Ingrid Zukerman, Gholamreza Haffari:
Preserving Distributional Information in Dialogue Act Classification. EMNLP 2017: 2151-2156 - [c112]Andisheh Partovi, Ingrid Zukerman, Quan Hung Tran:
Towards a Response Selection System for Spoken Requests in a Physical Domain. LaCATODA@IJCAI 2017: 20-27 - [c111]Ingrid Zukerman, Andisheh Partovi, Kai Zhan, Nora Hamacher, Julie C. Stout, Masud Moshtaghi:
A Game for Eliciting Trust Between People and Devices Under Diverse Performance Conditions. CGW@IJCAI 2017: 172-190 - 2016
- [j28]Simon Kocbek, Lawrence Cavedon, David Martínez, Christopher Bain, Chris Mac Manus, Gholamreza Haffari, Ingrid Zukerman, Karin Verspoor:
Text mining electronic hospital records to automatically classify admissions against disease: Measuring the impact of linking data sources. J. Biomed. Informatics 64: 158-167 (2016) - [c110]Tatyana Shmanina, Ingrid Zukerman, Ai Lee Cheam, Thomas Bochynek, Lawrence Cavedon:
A Corpus of Tables in Full-Text Biomedical Research Publications. BioTxtM@COLING 2016 2016: 70-79 - [c109]Quan Hung Tran, Ingrid Zukerman, Gholamreza Haffari:
Inter-document Contextual Language model. HLT-NAACL 2016: 762-766 - [c108]Kai Zhan, Ingrid Zukerman, Masud Moshtaghi, Gwyneth Rees:
Eliciting Users' Attitudes toward Smart Devices. UMAP 2016: 175-184 - 2015
- [j27]Ingrid Zukerman, Su Nam Kim, Thomas Kleinbauer, Masud Moshtaghi:
Employing distance-based semantics to interpret spoken referring expressions. Comput. Speech Lang. 34(1): 154-185 (2015) - [j26]Masud Moshtaghi, Ingrid Zukerman, R. Andrew Russell:
Statistical models for unobtrusively detecting abnormal periods of inactivity in older adults. User Model. User Adapt. Interact. 25(3): 231-265 (2015) - [c107]Ingrid Zukerman, Andisheh Partovi, Su Nam Kim:
Context-dependent error correction of spoken referring expressions. INTERSPEECH 2015: 2032-2036 - [c106]Masud Moshtaghi, Ingrid Zukerman:
A Utility Model for Tailoring Sensor Networks to Users. UMAP 2015: 156-168 - 2014
- [j25]Yanir Seroussi, Ingrid Zukerman, Fabian Bohnert:
Authorship Attribution with Topic Models. Comput. Linguistics 40(2): 269-310 (2014) - [j24]Melanie Frances Larizza, Ingrid Zukerman, Fabian Bohnert, Lucy Busija, Sharon Ann Bentley, R. Andrew Russell, Gwyneth Rees:
In-home monitoring of older adults with vision impairment: exploring patients', caregivers' and professionals' views. J. Am. Medical Informatics Assoc. 21(1): 56-63 (2014) - [j23]Fabian Bohnert, Ingrid Zukerman:
Personalised viewing-time prediction in museums. User Model. User Adapt. Interact. 24(4): 263-314 (2014) - [c105]Su Nam Kim, Ingrid Zukerman, Thomas Kleinbauer, Masud Moshtaghi:
A Comparative Study of Weighting Schemes for the Interpretation of Spoken Referring Expressions. ALTA 2014: 50-58 - [c104]Tatyana Shmanina, Lawrence Cavedon, Ingrid Zukerman:
Challenges in Information Extraction from Tables in Biomedical Research Publications: a Dataset Analysis. ALTA 2014: 118-122 - [c103]Masud Moshtaghi, Ingrid Zukerman:
Modeling the Tail of a Hyperexponential Distribution to Detect Abnormal Periods of Inactivity in Older Adults. PRICAI 2014: 985-997 - 2013
- [c102]Tatyana Shmanina, Ingrid Zukerman, Antonio Jimeno-Yepes, Lawrence Cavedon, Karin Verspoor:
Impact of Corpus Diversity and Complexity on NER Performance. ALTA 2013: 91-95 - [c101]Farshid Zavareh, Ingrid Zukerman, Su Nam Kim, Thomas Kleinbauer:
Error Detection in Automatic Speech Recognition. ALTA 2013: 101-105 - [c100]Thomas Kleinbauer, Ingrid Zukerman, Su Nam Kim:
Evaluation of the Scusi? Spoken Language Interpretation System - A Case Study. IJCNLP 2013: 225-233 - [c99]Su Nam Kim, Ingrid Zukerman, Thomas Kleinbauer, Farshid Zavareh:
A Noisy Channel Approach to Error Correction in Spoken Referring Expressions. IJCNLP 2013: 234-242 - [c98]Masud Moshtaghi, Ingrid Zukerman, David W. Albrecht, R. Andrew Russell:
Monitoring Personal Safety by Unobtrusively Detecting Unusual Periods of Inactivity. UMAP 2013: 139-151 - [i3]Ian E. Thomas, Ingrid Zukerman, Jonathan J. Oliver, David W. Albrecht, Bhavani Raskutti:
Lexical Access for Speech Understanding using Minimum Message Length Encoding. CoRR abs/1302.1572 (2013) - [i2]Bhavani Raskutti, Ingrid Zukerman:
Handling Uncertainty during Plan Recognition in Task-Oriented Consultation Systems. CoRR abs/1303.5743 (2013) - [i1]Peter Sember, Ingrid Zukerman:
Strategies for Generating Micro Explanations for Bayesian Belief Networks. CoRR abs/1304.1524 (2013) - 2012
- [c97]Yanir Seroussi, Fabian Bohnert, Ingrid Zukerman:
Authorship Attribution with Author-aware Topic Models. ACL (2) 2012: 264-269 - [c96]Minh Duc Cao, Ingrid Zukerman:
Experimental Evaluation of a Lexicon- and Corpus-based Ensemble for Multi-way Sentiment Analysis. ALTA 2012: 52-60 - [c95]Fabian Bohnert, Ingrid Zukerman, David W. Albrecht:
Realistic Simulation of Museum Visitors' Movements as a Tool for Assessing Sensor-Based User Models. UMAP 2012: 14-25 - [c94]Fabian Bohnert, Ingrid Zukerman, Junaidy Laures:
GECKOmmender: Personalised Theme and Tour Recommendations for Museums. UMAP 2012: 26-37 - [c93]Melanie Frances Larizza, Ingrid Zukerman, Fabian Bohnert, R. Andrew Russell, Lucy Busija, David W. Albrecht, Gwyn Rees:
Studies to Determine User Requirements Regarding In-Home Monitoring Systems. UMAP 2012: 139-150 - 2011
- [j22]Stephanie Elzer, Sandra Carberry, Ingrid Zukerman:
The automated understanding of simple bar charts. Artif. Intell. 175(2): 526-555 (2011) - [c92]Yanir Seroussi, Ingrid Zukerman, Fabian Bohnert:
Authorship Attribution with Latent Dirichlet Allocation. CoNLL 2011: 181-189 - [c91]Yanir Seroussi, Fabian Bohnert, Ingrid Zukerman:
Personalised rating prediction for new users using latent factor models. HT 2011: 47-56 - [c90]Fabian Bohnert, Ingrid Zukerman, David W. Albrecht, Timothy Baldwin:
Modelling and Predicting Movements of Museum Visitors: A Simulation Framework for Assessing the Impact of Sensor Noise on Model Performance. ITWP@IJCAI 2011 - [c89]Timothy Baldwin, Patrick Ye, Fabian Bohnert, Ingrid Zukerman:
In Situ Text Summarisation for Museum Visitors. PACLIC 2011: 372-381 - 2010
- [c88]Adrian Bickerstaffe, Ingrid Zukerman:
A Hierarchical Classifier Applied to Multi-way Sentiment Detection. COLING 2010: 62-70 - [c87]Ingrid Zukerman, Gideon Kowadlo, Patrick Ye:
Interpreting Pointing Gestures and Spoken Requests - A Probabilistic, Salience-based Approach. COLING (Posters) 2010: 1558-1566 - [c86]Gideon Kowadlo, Patrick Ye, Ingrid Zukerman:
Influence of gestural salience on the interpretation of spoken requests. INTERSPEECH 2010: 2034-2037 - [c85]Fabian Bohnert, Ingrid Zukerman:
A User-and Item-Aware Weighting Scheme for Combining Predictive User Models. UMAP 2010: 99-110 - [c84]Yanir Seroussi, Ingrid Zukerman, Fabian Bohnert:
Collaborative Inference of Sentiments from Texts. UMAP 2010: 195-206 - [c83]Fabian Bohnert, Ingrid Zukerman:
Personalised Pathway Prediction. UMAP 2010: 363-368
2000 – 2009
- 2009
- [j21]Yuval Marom, Ingrid Zukerman:
An Empirical Study of Corpus-Based Response Automation Methods for an E-mail-Based Help-Desk Domain. Comput. Linguistics 35(4): 597-635 (2009) - [c82]Patrick Ye, Ingrid Zukerman:
Towards Interpreting Task-Oriented Utterance Sequences. Australasian Conference on Artificial Intelligence 2009: 607-616 - [c81]Fabian Bohnert, Ingrid Zukerman:
Using Keyword-Based Approaches to Adaptively Predict Interest in Museum Exhibits. Australasian Conference on Artificial Intelligence 2009: 656-665 - [c80]Fabian Bohnert, Daniel Francis Schmidt, Ingrid Zukerman:
Spatial Processes for Recommender Systems. IJCAI 2009: 2022-2027 - [c79]Fabian Bohnert, Ingrid Zukerman, Daniel Francis Schmidt:
Using Gaussian Spatial Processes to Model and Predict Interests in Museum Exhibits. ITWP 2009 - [c78]Ingrid Zukerman, Patrick Ye, Kapil Kumar Gupta, Enes Makalic:
Towards the Interpretation of Utterance Sequences in a Dialogue System. SIGDIAL Conference 2009: 46-53 - [c77]Fabian Bohnert, Ingrid Zukerman:
Non-intrusive Personalisation of the Museum Experience. UMAP 2009: 197-209 - [c76]Daniel Francis Schmidt, Ingrid Zukerman, David W. Albrecht:
Assessing the Impact of Measurement Uncertainty on User Models in Spatial Domains. UMAP 2009: 210-222 - [p1]Ingrid Zukerman:
Towards Probabilistic Argumentation. Argumentation in Artificial Intelligence 2009: 443-462 - 2008
- [j20]Fabian Bohnert, Ingrid Zukerman, Shlomo Berkovsky, Timothy Baldwin, Liz Sonenberg:
Using interest and transition models to predict visitor locations in museums. AI Commun. 21(2-3): 195-202 (2008) - [c75]Fabian Bohnert, Ingrid Zukerman, Shlomo Berkovsky, Timothy Baldwin, Liz Sonenberg:
Using Collaborative Models to Adaptively Predict Visitor Locations in Museums. AH 2008: 42-51 - [c74]Shlomo Berkovsky, Timothy Baldwin, Ingrid Zukerman:
Aspect-Based Personalized Text Summarization. AH 2008: 267-270 - [c73]Ingrid Zukerman, Enes Makalic, Michael Niemann:
Using Probabilistic Feature Matching to Understand Spoken Descriptions. Australasian Conference on Artificial Intelligence 2008: 157-167 - [c72]Enes Makalic, Ingrid Zukerman, Michael Niemann:
A spoken language interpretation component for a robot dialogue system. INTERSPEECH 2008: 195-198 - [c71]Ingrid Zukerman, Enes Makalic, Michael Niemann, Sarah George:
A Probabilistic Approach to the Interpretation of Spoken Utterances. PRICAI 2008: 581-592 - [c70]Enes Makalic, Ingrid Zukerman, Michael Niemann, Daniel Francis Schmidt:
A Probabilistic Model for Understanding Composite Spoken Descriptions. PRICAI 2008: 750-759 - 2007
- [j19]David W. Albrecht, Ingrid Zukerman:
Introduction to the special issue on statistical and probabilistic methods for user modeling. User Model. User Adapt. Interact. 17(1-2): 1-4 (2007) - [j18]Sarah George, Ingrid Zukerman, Michael Niemann:
Inferences, suppositions and explanatory extensions in argument interpretation. User Model. User Adapt. Interact. 17(5): 439-474 (2007) - [c69]Yuval Marom, Ingrid Zukerman, Nathalie Japkowicz:
A Meta-learning Approach for Selecting between Response Automation Strategies in a Help-desk Domain. AAAI 2007: 907-912 - [c68]Fabian Bohnert, Ingrid Zukerman:
Using Viewing Time for Theme Prediction in Cultural Heritage Spaces. Australian Conference on Artificial Intelligence 2007: 367-376 - [c67]Michael Niemann, Ingrid Zukerman, Enes Makalic, Sarah George:
Hypothesis Generation and Maintenance in the Interpretation of Spoken Utterances. Australian Conference on Artificial Intelligence 2007: 466-475 - [c66]Yuval Marom, Ingrid Zukerman:
A Predictive Approach to Help-Desk Response Generation. IJCAI 2007: 1665-1670 - 2006
- [j17]Christian Guttmann, Ingrid Zukerman:
Agents with limited modeling abilities: Implications on collaborative problem solving. Comput. Syst. Sci. Eng. 21(3) (2006) - [c65]Ingrid Zukerman, Yuval Marom:
A Comparative Study of Information-Gathering Approaches for Answering Help-Desk Email Inquiries. Australian Conference on Artificial Intelligence 2006: 546-556 - [c64]Ingrid Zukerman, Michael Niemann, Sarah George, Yuval Marom:
Probabilistic, Multi-staged Interpretation of Spoken Utterances. Australian Conference on Artificial Intelligence 2006: 1215-1220 - [c63]Ingrid Zukerman, Yuval Marom:
A corpus-based approach to help-desk response generation. CIMCA/IAWTIC 2006: 23 - [c62]Ingrid Zukerman, Michael Niemann, Sarah George:
Probabilistic, Multi-staged Interpretation of Spoken Utterances. CIMCA/IAWTIC 2006: 194 - [c61]Ingrid Zukerman, Michael Niemann, Sarah George:
Balancing Conflicting Factors in Argument Interpretation. SIGDIAL Workshop 2006: 134-143 - [e1]Lawrence Cavedon, Ingrid Zukerman:
Proceedings of the Australasian Language Technology Workshop, ALTA 2006, Sydney, Australia, November 30-December 1, 2006. Australasian Language Technology Association 2006, ISBN 978-1-74108-146-6 [contents] - 2005
- [j16]Ingrid Zukerman:
Argumentation Machines: New Frontiers in Argumentation and Computation edited by Chris ReedTimothy J. Norman. Comput. Linguistics 31(1): 153-155 (2005) - [j15]Sandra Carberry, Ingrid Zukerman:
Preface to the Special Issue on Language-Based Interaction. User Model. User Adapt. Interact. 15(1-2): 1-3 (2005) - [j14]Ingrid Zukerman, Sarah George:
A Probabilistic Approach for Argument Interpretation. User Model. User Adapt. Interact. 15(1-2): 5-53 (2005) - [c60]Stephanie Elzer, Sandra Carberry, Daniel Chester, Seniz Demir, Nancy L. Green, Ingrid Zukerman, Keith Trnka:
Exploring and Exploiting the Limited Utility of Captions in Recognizing Intention in Information Graphics. ACL 2005: 223-230 - [c59]Christian Guttmann, Ingrid Zukerman:
Voting policies that cope with unreliable agents. AAMAS 2005: 365-372 - [c58]Stephanie Elzer, Sandra Carberry, Ingrid Zukerman, Daniel Chester, Nancy L. Green, Seniz Demir:
A Probabilistic Framework for Recognizing Intention in Information Graphics. IJCAI 2005: 1042-1047 - [c57]Yuval Marom, Ingrid Zukerman:
Analysis and Synthesis of Help-Desk Responses. KES (3) 2005: 890-897 - [c56]Sarah George, Ingrid Zukerman, Michael Niemann:
Modeling Suppositions in Users' Arguments. User Modeling 2005: 19-29 - [c55]Ingrid Zukerman, Christian Guttmann:
Modeling Agents That Exhibit Variable Performance in a Collaborative Setting. User Modeling 2005: 210-219 - 2004
- [c54]Pawel Kowalczyk, Ingrid Zukerman, Michael Niemann:
Analyzing the Effect of Query Class on Document Retrieval Performance. Australian Conference on Artificial Intelligence 2004: 550-561 - [c53]Ingrid Zukerman, Michael Niemann, Sarah George:
Improving the Presentation of Argument Interpretations Based on User Trials. Australian Conference on Artificial Intelligence 2004: 587-598 - [c52]Ingrid Zukerman, Yuval Marom:
Filtering Speaker-Specific Words from Electronic Discussions. COLING 2004 - [c51]Christian Guttmann, Ingrid Zukerman:
Towards Models of Incomplete and Uncertain Knowledge of Collaborators' Internal Resources. MATES 2004: 58-72 - [c50]Sarah George, Ingrid Zukerman, Michael Niemann:
An Anytime Algorithm for Interpreting Arguments. PRICAI 2004: 311-321 - [c49]Yuval Marom, Ingrid Zukerman:
Improving Newsgroup Clustering by Filtering Author-Specific Words. PRICAI 2004: 953-954 - 2003
- [c48]Ingrid Zukerman, Sarah George, Yingying Wen:
Lexical Paraphrasing for Document Retrieval and Node Identification. IWP@ACL 2003: 94-101 - [c47]Sarah George, Ingrid Zukerman, Mark George:
An information-theoretic approach for argument interpretation in a conversational setting. AAMAS 2003: 992-993 - [c46]Ingrid Zukerman, Bhavani Raskutti, Yingying Wen:
Query Expansion and Query Reduction in Document Retrieval. ICTAI 2003: 552-559 - [c45]Sarah George, Ingrid Zukerman:
An Information-theoretic Approach for Argument Interpretation. SIGDIAL Workshop 2003: 44-52 - [c44]Ingrid Zukerman, Sarah George, Mark George:
Incorporating a User Model into an Information Theoretic Framework for Argument Interpretation. User Modeling 2003: 106-116 - 2002
- [c43]Ingrid Zukerman, Bhavani Raskutti, Yingying Wen:
Experiments in Query Paraphrasing for Information Retrieval. Australian Joint Conference on Artificial Intelligence 2002: 24-35 - [c42]Sarah George, Ingrid Zukerman:
Argument Interpretation Using Minimum Message Length. Australian Joint Conference on Artificial Intelligence 2002: 297-308 - [c41]Ingrid Zukerman, Sarah George:
Towards a Noise-Tolerant, Representation-Independent Mechanism for Argument Interpretation. COLING 2002 - [c40]Ingrid Zukerman, Bhavani Raskutti:
Lexical Query Paraphrasing for Document Retrieval. COLING 2002 - [c39]Werner Winiwarter, Ingrid Zukerman, Tsunenori Mine:
Message from the NLIS Workshop Chairs. DEXA Workshops 2002: 201-204 - [c38]Ingrid Zukerman, Sarah George:
A Minimum Message Length Approach for Argument Interpretation. SIGDIAL Workshop 2002: 211-220 - 2001
- [j13]Ingrid Zukerman, Richard McConachy:
Wishful: A Discourse Planning System That Considers a User's Inferences. Comput. Intell. 17(1): 1-61 (2001) - [j12]Ingrid Zukerman, David W. Albrecht:
Predictive Statistical Models for User Modeling. User Model. User Adapt. Interact. 11(1-2): 5-18 (2001) - [j11]Ingrid Zukerman, Diane J. Litman:
Natural Language Processing and User Modeling: Synergies and Limitations. User Model. User Adapt. Interact. 11(1-2): 129-158 (2001) - [c37]Ariel E. Bud, David W. Albrecht, Ann E. Nicholson, Ingrid Zukerman:
Information-Theoretic Advisors in Invisible Chess. AISTATS 2001: 29-34 - [c36]Ingrid Zukerman:
An Integrated Approach for Generating Arguments and Rebuttals and Understanding Rejoinders. User Modeling 2001: 84-94 - 2000
- [c35]Nathalie Jitnah, Ingrid Zukerman, Richard McConachy, Sarah George:
Towards the Generation of Rebuttals in a Bayesian Argumentation System. INLG 2000: 39-46 - [c34]Ingrid Zukerman, Richard McConachy, Sarah George:
Using Argumentation Strategies in Automated Argument Generation. INLG 2000: 55-62 - [c33]Ingrid Zukerman, David W. Albrecht, Ann E. Nicholson, Krystyna Doktor:
Trading Off Granularity against Complexity. PRICAI 2000: 241-251 - [c32]Ingrid Zukerman, Nathalie Jitnah, Richard McConachy, Sarah George:
Recognizing Intentions from Rejoinders in a Bayesian Interactive Argumentation System. PRICAI 2000: 252-263
1990 – 1999
- 1999
- [j10]Richard McConachy, Ingrid Zukerman:
Dialogue Requirements for Argumentation Systems. Electron. Trans. Artif. Intell. 3(D): 89-124 (1999) - [c31]David W. Albrecht, Ingrid Zukerman, Ann E. Nicholson:
Pre-sending Documents on the WWW: A Comparative Study. IJCAI 1999: 1274-1279 - [c30]Ingrid Zukerman, Richard McConachy, Kevin B. Korb, Deborah Pickett:
Exploratory Interaction with a Bayesian Argumentation System. IJCAI 1999: 1294-1299 - [c29]Ariel E. Bud, Ann E. Nicholson, Ingrid Zukerman, David W. Albrecht:
A hybrid architecture for strategically complex imperfect information games. KES 1999: 42-45 - 1998
- [j9]Christopher Leckie, Ingrid Zukerman:
Inductive Learning of Search Control Rules for Planning. Artif. Intell. 101(1-2): 63-98 (1998) - [j8]David W. Albrecht, Ingrid Zukerman, Ann E. Nicholson:
Bayesian Models for Keyhole Plan Recognition in an Adventure Game. User Model. User Adapt. Interact. 8(1-2): 5-47 (1998) - [c28]Ingrid Zukerman, Richard McConachy, Kevin B. Korb:
Bayesian Reasoning in an Abductive Mechanism for Argument Generation and Analysis. AAAI/IAAI 1998: 833-838 - [c27]Richard McConachy, Kevin B. Korb, Ingrid Zukerman:
A Bayesian Approach to Automating Argumentation. CoNLL 1998: 91-100 - [c26]Ian E. Thomas, Ingrid Zukerman, Bhavani Raskutti:
Extracting Phoneme Pronunciation Information from Corpora. CoNLL 1998: 175-184 - [c25]Ingrid Zukerman, Richard McConachy, Kevin B. Korb:
Attention During Argument Generation And Presentation. INLG 1998 - [c24]David W. Albrecht, Ann E. Nicholson, Ingrid Zukerman:
Knowledge Acquisition for Goal Prediction in a Multi-user Adventure Game. PAKDD 1998: 1-12 - [c23]Ann E. Nicholson, Ingrid Zukerman, David W. Albrecht:
A Decision-Theoretic Approach for Pre-sending Information on the WWW. PRICAI 1998: 575-586 - 1997
- [j7]Kristiina Jokinen, Mark T. Maybury, Michael Zock, Ingrid Zukerman:
Gaps and Bridges: New Directions in Planning and Natural Language Generation (Workshop Report). AI Mag. 18(1): 133-136 (1997) - [j6]Yi Han, Ingrid Zukerman:
Using constraint propagation in MAGPIE: a multi-agent approach. Comput. Stand. Interfaces 18(6-7): 575-582 (1997) - [j5]Yi Han, Ingrid Zukerman:
A mechanism for Multimodal Presentation Planning Based on Agent Cooperation and Negotiation. Hum. Comput. Interact. 12(1-2): 187-226 (1997) - [j4]Bhavani Raskutti, Ingrid Zukerman:
Generating queries and replies during information-seeking interactions. Int. J. Hum. Comput. Stud. 47(6): 689-734 (1997) - [c22]Ingrid Zukerman, Richard McConachy, Kevin B. Korb:
Using Bayesian Networks for Abduction in Argumentation. ICONIP (1) 1997: 572-575 - [c21]Ian E. Thomas, Ingrid Zukerman, Jonathan J. Oliver, David W. Albrecht, Bhavani Raskutti:
Lexical Access for Speech Understanding using Minimum Message Length Encoding. UAI 1997: 464-471 - 1996
- [c20]Yi Han, Ingrid Zukerman:
Constraint Propagation in a Cooperative Approach for Multimodal Presentation Planning. ECAI 1996: 256-260 - [c19]Richard McConachy, Ingrid Zukerman:
Using Argument Graphs to Generate Arguments. ECAI 1996: 592-598 - [c18]Bhavani Raskutti, Ingrid Zukerman:
A Unified Approach to Handling Uncertainty during Cooperative Consultations. PRICAI 1996: 85-96 - [c17]Ian E. Thomas, Ingrid Zukerman, Jonathan J. Oliver, Bhavani Raskutti:
Lexical Access using Minimum Message Length Encoding. PRICAI 1996: 229-240 - 1995
- [c16]Yi Han, Ingrid Zukerman:
Using Cooperative Agents to Plan Multimodal Presentations. Multimodal Human-Computer Communication 1995: 122-157 - [c15]Ingrid Zukerman, Richard McConachy:
Generating Discourse across Several User Models: Maximizing Belief while Avoiding Boredom and Overload. IJCAI 1995: 1251-1259 - 1994
- [c14]Bhavani Raskutti, Ingrid Zukerman:
Acquisition of Information to Determine a User's Plan. ECAI 1994: 28-32 - [c13]Ingrid Zukerman, Richard McConachy:
Being Concise versus Being Shallow: Two Competing Discourse Planning Paradigms. ECAI 1994: 515-519 - [c12]Ingrid Zukerman, Richard McConachy:
Discourse Planning as an Optimization Process. INLG 1994 - 1993
- [j3]Ingrid Zukerman, Richard McConachy:
Consulting a User Model to Address a User's Inference during Content Planning. User Model. User Adapt. Interact. 3(2): 155-185 (1993) - [c11]Ingrid Zukerman, Richard McConachy:
An Optimizing Method for Structuring Inferentially Linked Discourse. AAAI 1993: 202-207 - [c10]Christopher Leckie, Ingrid Zukerman:
An Inductive Approach to Learning Search Control Rules for Planning. IJCAI 1993: 1100-1105 - [c9]Ingrid Zukerman, Richard McConachy:
Generating Concise Discourse that Addresses a Users Inferences. IJCAI 1993: 1202-1207 - 1991
- [j2]Bhavani Raskutti, Ingrid Zukerman:
Generation and Selection of Likely Interpretations during Plan Recognition in Task-Oriented Consultation Systems. User Model. User Adapt. Interact. 1(3-4): 323-353 (1991) - [c8]Christopher Leckie, Ingrid Zukerman:
Learning Search Control Rules for Planning: An Inductive Approach. ML 1991: 422-426 - [c7]Bhavani Raskutti, Ingrid Zukerman:
Handling Uncertainty During Plan Recognition in Task-Oriented Consultation Systems. UAI 1991: 308-315 - 1990
- [j1]Ingrid Zukerman:
A predictive approach for the generation of rhetorical devices. Comput. Intell. 6: 25-40 (1990) - [c6]Ingrid Zukerman:
Generating Peripheral Rhetorical Devices by Consulting a User Model. INLG 1990
1980 – 1989
- 1988
- [c5]Jonathan J. Oliver, Ingrid Zukerman:
DISSOLVE: A System for the Generation of Human Oriented Solutions to Algebraic Equations. Australian Joint Conference on Artificial Intelligence 1988: 92-107 - [c4]Ingrid Zukerman, Yee Han Cheong:
Contradictions and Revisions as Explanatory Aids in the Delivery of Technical Information. Australian Joint Conference on Artificial Intelligence 1988: 124-139 - [c3]Lai Leng Hui, Ingrid Zukerman:
Common-sense Resolution of Syntactic Ambiguity in Database Queries. Australian Joint Conference on Artificial Intelligence 1988: 396-409 - 1987
- [c2]Ingrid Zukerman:
Goal-based Generation of Motivational Expressions in a Learning Environment. AAAI 1987: 327-333 - 1986
- [c1]Ingrid Zukerman, Judea Pearl:
Comprehension-Driven Generation of Meta-Technical Utterances in Math Tutoring. AAAI 1986: 606-611
Coauthor Index
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