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Dan Goldwasser
Dan Goldwasser
Purdue University
Bestätigte E-Mail-Adresse bei purdue.edu - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Driving semantic parsing from the world’s response
J Clarke, D Goldwasser, MW Chang, D Roth
Proceedings of the fourteenth conference on computational natural language …, 2010
2892010
Modeling learner engagement in MOOCs using probabilistic soft logic
A Ramesh, D Goldwasser, B Huang, H Daumé III, L Getoor
NIPS workshop on data driven education 21, 62, 2013
2182013
Encoding Social Information with Graph Convolutional Networks for Political Perspective Detection in News Media
C Li, D Goldwasser
Proceedings of the 57th Conference of the Association for Computational …, 2019
2012019
Learning latent engagement patterns of students in online courses
A Ramesh, D Goldwasser, B Huang, H Daume III, L Getoor
Proceedings of the AAAI Conference on Artificial Intelligence 28 (1), 2014
1712014
Learning from natural instructions
D Goldwasser, D Roth
Machine learning 94, 205-232, 2014
1342014
Analyzing museum visitors’ behavior patterns
M Zancanaro, T Kuflik, Z Boger, D Goren-Bar, D Goldwasser
International Conference on User Modeling, 238-246, 2007
1342007
Understanding MOOC discussion forums using seeded LDA
A Ramesh, D Goldwasser, B Huang, H Daumé III, L Getoor
Proceedings of the ninth workshop on innovative use of NLP for building …, 2014
1312014
Predicting Instructor’s Intervention in MOOC forums
S Chaturvedi, D Goldwasser, H Daumé III
Proceedings of the 52nd Annual Meeting of the Association for Computational …, 2014
1052014
Learning from the ones that got away: Detecting new forms of phishing attacks
CN Gutierrez, T Kim, R Della Corte, J Avery, D Goldwasser, M Cinque, ...
IEEE Transactions on Dependable and Secure Computing 15 (6), 988-1001, 2018
992018
Tathya: A multi-classifier system for detecting check-worthy statements in political debates
A Patwari, D Goldwasser, S Bagchi
Proceedings of the 2017 ACM on Conference on Information and Knowledge …, 2017
982017
Discriminative learning over constrained latent representations
MW Chang, D Goldwasser, D Roth, V Srikumar
Human Language Technologies: The 2010 Annual Conference of the North …, 2010
982010
Classification of moral foundations in microblog political discourse
K Johnson, D Goldwasser
Proceedings of the 56th annual meeting of the association for computational …, 2018
932018
Confidence driven unsupervised semantic parsing
D Goldwasser, R Reichart, J Clarke, D Roth
Proceedings of the 49th Annual Meeting of the Association for Computational …, 2011
892011
Structured Output Learning with Indirect Supervision.
MW Chang, V Srikumar, D Goldwasser, D Roth
ICML, 199-206, 2010
792010
Interactive learning for identifying relevant tweets to support real-time situational awareness
LS Snyder, YS Lin, M Karimzadeh, D Goldwasser, DS Ebert
IEEE transactions on visualization and computer graphics 26 (1), 558-568, 2019
692019
Weakly supervised learning of nuanced frames for analyzing polarization in news media
S Roy, D Goldwasser
arXiv preprint arXiv:2009.09609, 2020
632020
Identifying stance by analyzing political discourse on twitter
K Johnson, D Goldwasser
Proceedings of the First Workshop on NLP and Computational Social Science, 66-75, 2016
622016
Knod: Domain knowledge distilled tree decoder for automated program repair
N Jiang, T Lutellier, Y Lou, L Tan, D Goldwasser, X Zhang
2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE …, 2023
602023
Analyzing large collections of open-ended feedback from MOOC learners using LDA topic modeling and qualitative analysis
G Nanda, KA Douglas, DR Waller, HE Merzdorf, D Goldwasser
IEEE Transactions on Learning Technologies 14 (2), 146-160, 2021
602021
Uncovering hidden engagement patterns for predicting learner performance in MOOCs
A Ramesh, D Goldwasser, B Huang, H Daume III, L Getoor
Proceedings of the first ACM conference on Learning@ scale conference, 157-158, 2014
592014
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