Maria D Chang  Maria D Chang photo         

contact information

Research Staff Member, AI
Thomas J. Watson Research Center, Yorktown Heights, NY USA
  +1dash914dash945dash2953

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Professional Associations

Professional Associations:  Association for the Advancement of Artificial Intelligence (AAAI)  |  Cognitive Science Society  |  CRA-W


2018

An Interface for Annotating Science Questions
Michael Boratko, Harshit Padigela, Divyendra Mikkilineni, Pritish Yuvraj, Rajarshi Das, Andrew McCallum, Maria Chang, Achille Fokoue, Pavan Kapanipathi, Nicholas Mattei, others
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, pp. 102--107

Answering Science Exam Questions Using Query Rewriting with Background Knowledge
Ryan Musa, Xiaoyan Wang, Achille Fokoue, Nicholas Mattei, Maria Chang, Pavan Kapanipathi, Bassem Makni, Kartik Talamadupula, Michael Witbrock
arXiv preprint arXiv:1809.05726, 2018

Improving Natural Language Inference Using External Knowledge in the Science Questions Domain
Xiaoyan Wang, Pavan Kapanipathi, Ryan Musa, Mo Yu, Kartik Talamadupula, Ibrahim Abdelaziz, Maria Chang, Achille Fokoue, Bassem Makni, Nicholas Mattei, others
arXiv preprint arXiv:1809.05724, 2018

Dialogue-based tutoring at scale: Design and Challenges
Maria Chang, Matthew Ventura, Jae-wook Ahn, Peter Foltz, Tengfei Ma, Tejas I Dhamecha, Smit Marvaniya, Patrick Watson, Cassius D’helon, Amy Wetzel, others
2018

Adaptive Visual Dialog for Intelligent Tutoring Systems
Jae-wook Ahn, Maria Chang, Patrick Watson, Ravi Tejwani, Sharad Sundararajan, Tamer Abuelsaad, Srijith Prabhu
International Conference on Artificial Intelligence in Education, pp. 413--418, 2018

Preliminary Evaluations of a Dialogue-Based Digital Tutor
Matthew Ventura, Maria Chang, Peter Foltz, Nirmal Mukhi, Jessica Yarbro, Anne Pier Salverda, John Behrens, Jae-wook Ahn, Tengfei Ma, Tejas I Dhamecha, others
International Conference on Artificial Intelligence in Education, pp. 480--483, 2018

A Systematic Classification of Knowledge, Reasoning, and Context within the ARC Dataset
Michael Boratko, Harshit Padigela, Divyendra Mikkilineni, Pritish Yuvraj, Rajarshi Das, Andrew McCallum, Maria Chang, Achille Fokoue-Nkoutche, Pavan Kapanipathi, Nicholas Mattei, others
arXiv preprint arXiv:1806.00358, 2018

Human-level Multiple Choice Question Guessing Without Domain Knowledge: Machine-Learning of Framing Effects
Patrick Watson, TengFei Ma, Ravi Tejwani, Maria Chang, JaeWook Ahn, Sharad Sundararajan
Companion of the The Web Conference 2018 on The Web Conference 2018, pp. 299--303


2017

Wizard’s Apprentice: Cognitive Suggestion Support for Wizard-of-Oz Question Answering
Jae-wook Ahn, Patrick Watson, Maria Chang, Sharad Sundararajan, Tengfei Ma, Nirmal Mukhi, Srijith Prabhu
International Conference on Artificial Intelligence in Education, pp. 630--635, 2017

Promoting sketching in introductory geoscience courses: CogSketch geoscience worksheets
Bridget Garnier, Maria Chang, Carol Ormand, Bryan Matlen, Basil Tikoff, Thomas F Shipley
Topics in cognitive science 9(4), 943--969, 2017

The cognitive science of sketch worksheets
Kenneth D Forbus, Maria Chang, Matthew McLure, Madeline Usher
Topics in cognitive science 9(4), 921--942, 2017


2016

Capturing Qualitative Science Knowledge with Multimodal Instructional Analogies
Maria de los Angeles Chang
Ph.D. Thesis, 2016


2015

SketchWorksheets: A Brief Summary
Kenneth D Forbus, Jeffrey Usher, Maria Chang
The impact of pen and touch technology on education, pp. 105--106, Springer, 2015

Towards Interpretation Strategies for Multimodal Instructional Analogies
Maria D Chang, Kenneth D Forbus
Proceedings of the 28th International Workshop on Qualitative Reasoning (QR2015)


2014

Spatial reasoning in comparative analyses of physics diagrams
Maria D Chang, Jon W Wetzel, Kenneth D Forbus
International Conference on Spatial Cognition, pp. 268--282, 2014

Analogy tutor: A tutoring system for promoting conceptual learning via comparison
Maria D Chang
Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

Using analogy to cluster hand-drawn sketches for sketch-based educational software
Maria D Chang, Kenneth D Forbus
AI Magazine 35(1), 76, Association for the Advancement of Artificial Intelligence, 2014

Testing CogSketch geoscience worksheets as an effective spatial learning tool in introductory geoscience courses
Bridget Garnier, C Ormand, M Chang, B Matlen, B Tikoff, T Shipley, K Forbus
Geological Society of America annual meeting, 2014


2013

Clustering hand-drawn sketches via analogical generalization
Maria D Chang, Kenneth D Forbus
Proceedings of the Twenty-fifth Annual Conference on Innovative Applications of Artificial Intelligence, pp. 1507--1512, 2013


2012

Using quantitative information to improve analogical matching between sketches
Maria D Chang, Kenneth D Forbus
Innovative Applications of Artificial Intelligence (IAAI). Toronto, Canada, 2012


2011

Qualitative and Quantitative Reasoning over Physics Textbook Diagrams
Maria D Chang, Jon Wetzel, Kenneth D Forbus
25th International Workshop on Qualitative Reasoning, 2011

Structural brain alterations associated with dyslexia predate reading onset
Nora Maria Raschle, Maria Chang, Nadine Gaab
Neuroimage 57(3), 742--749, Elsevier, 2011


2010

Sketch-based spatial reasoning in geologic interpretation
Panrong Yin, Maria D Chang, Kenneth D Forbus
Proceedings, the 24th International Workshop on Qualitative Reasoning. Portland, OR, 2010

The influence of rest period instructions on the default mode network
Christopher Benjamin, Daniel A Lieberman, Maria Chang, Noa Ofen, Susan Whitfield-Gabrieli, John DE Gabrieli, Nadine Gaab
Frontiers in human neuroscience4, 218, Frontiers, 2010


2009

Examining behavioral and neural pre-markers of developmental dyslexia in children prior to reading onset
NM Raschle, M Chang, M Lee, R Buchler, N Gaab
Neuroimage pp. 47, S120, 2009

Making MR imaging child's play-pediatric neuroimaging protocol, guidelines and procedure
Nora M Raschle, Michelle Lee, Roman Buechler, Joanna A Christodoulou, Maria Chang, Monica Vakil, Patrice L Stering, Nadine Gaab
Journal of visualized experiments: JoVE pp. 29, MyJoVE Corporation, 2009


2008

Smaller feedback ERN amplitudes during the BART are associated with a greater family history density of alcohol problems in treatment-naive alcoholics
George Fein, Maria Chang
Drug and alcohol dependence 92(1-3), 141--148, Elsevier, 2008


2006

Visual P300s in long-term abstinent chronic alcoholics
George Fein, Maria Chang
Alcoholism: Clinical and Experimental Research 30(12), 2000--2007, Blackwell Publishing Inc Malden, USA, 2006





Technical Areas