Ingrid Zukerman

Professor

Information Technology Monash University

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Ingrid works in the Faculty of Information Technology at Monash University as a Professor.Research & Supervision Interests:Natural language processing,Discourse planning,Spoken language,understanding,User modeling,Plan recognition

Papers191 papers

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Relationship between Device Performance, Trust and User Behaviour in a Care-taking Scenario

Andisheh Partovi,Ingrid Zukerman, Kai Zhan, Nora Hamacher, Jakob Hohwy

pp.61-69 (2019)

EIBibtex

Influence of Time and Risk on Response Acceptability in a Simple Spoken Dialogue System

Andisheh Partovi,Ingrid Zukerman

SIGdial, pp.307-319, (2019)

EIBibtex

Exploring Textual and Speech information in Dialogue Act Classification with Speaker Domain Adaptation

Xuanli He,Quan Hung Tran, William Havard,Laurent Besacier,Ingrid Zukerman,Gholamreza Haffari

arXiv: Computation and Language, (2018)

Cited by1EIBibtex

Identifying factors that influence the acceptability of smart devices: implications for recommendations

Kai Zhan,Ingrid Zukerman, Andisheh Partovi

User Model. User-Adapt. Interact., no. 4-5 (2018): 391-423

Cited by1EIBibtex

The Context-Dependent Additive Recurrent Neural Net

Quan Hung Tran,Tuan Lai,Gholamreza Haffari,Ingrid Zukerman,Trung Bui,Hung Bui

NAACL-HLT, pp.1274-1283, (2018)

Cited by16EIBibtex

Preserving Distributional Information in Dialogue Act Classification

Quan Hung Tran,Ingrid Zukerman,Gholamreza Haffari

EMNLP, pp.2141-2146, (2017)

Cited by15EIBibtex

Towards a Response Selection System for Spoken Requests in a Physical Domain

Andisheh Partovi,Ingrid Zukerman,Quan Hung Tran

LaCATODA@IJCAI, pp.20-27, (2017)

EIBibtex

Improving the understanding of spoken referring expressions through syntactic-semantic and contextual-phonetic error-correction

Ingrid Zukerman, Andisheh Partovi

Computer Speech & Language, (2017): 284-310

Cited by3EIBibtex

A Hierarchical Neural Model for Learning Sequences of Dialogue Acts

Ingrid Zukerman,Gholamreza Haffari,Quan Hung Tran

EACL, pp.428-437, (2017)

Cited by19EIBibtex

A Generative Attentional Neural Network Model for Dialogue Act Classification

Quan Hung Tran,Gholamreza Haffari,Ingrid Zukerman

ACL, pp.524-529, (2017)

Cited by12EIBibtex

Addressing 'loss of identity' in the joint judgment: Searching for 'the individual judge' in the joint judgments of the mason court

Andisheh Partovi,Russell Smyth,Ingrid Zukerman, Joseph Valente

University of New South Wales law journal, no. 2 (2017): 670-711

Bibtex

A Game for Eliciting Trust Between People and Devices Under Diverse Performance Conditions

Ingrid Zukerman, Andisheh Partovi, Kai Zhan, Nora Hamacher,Julie Stout,Masud Moshtaghi

CGW@IJCAI, pp.172-190, (2017)

Cited by1EIBibtex

A Corpus of Tables in Full-Text Biomedical Research Publications

Tatyana Shmanina,Ingrid Zukerman, Ai Lee Cheam, Thomas Bochynek,Lawrence Cavedon

BioTxtM@COLING 2016, pp.70-79, (2016)

Cited by2EIBibtex

Inter-document Contextual Language model

Quan Hung Tran,Ingrid Zukerman,Gholamreza Haffari

HLT-NAACL, pp.762-766, (2016)

Cited by10EIBibtex

Eliciting Users' Attitudes toward Smart Devices

Kai Zhan,Ingrid Zukerman,Masud Moshtaghi,Gwyneth Rees

UMAP, pp.175-184, (2016)

EIBibtex

Text mining electronic hospital records to automatically classify admissions against disease: Measuring the impact of linking data sources

Simon Kocbek,Lawrence Cavedon,David Martinez,Christopher Bain,Chris Mac Manus,Gholamreza Haffari,Ingrid Zukerman,Karin Verspoor

Journal of Biomedical Informatics, (2016): 158-167

Cited by27WOSEIBibtex

Which smart devices do you like?: Factors that affect device acceptability

Kai Zhan,Ingrid Zukerman

human agent interaction, (2016)

Bibtex

A Utility Model for Tailoring Sensor Networks to Users

Masud Moshtaghi,Ingrid Zukerman

Conference on User Modelling, Adaptation and Personalization, (2015)

Cited by1EIBibtex

Statistical models for unobtrusively detecting abnormal periods of inactivity in older adults

Masud Moshtaghi,Ingrid Zukerman,R. Andrew Russell

User Modeling and User-Adapted Interaction, no. 3 (2015)

Cited by22EIBibtex

Employing distance-based semantics to interpret spoken referring expressions

Ingrid Zukerman,Su Nam Kim,Thomas Kleinbauer,Masud Moshtaghi

Computer Speech & Language, no. 1 (2015): 154-185

Cited by10EIBibtex

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