Dan Goldwasser
Dan Goldwasser
確認したメール アドレス: purdue.edu - ホームページ
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引用先
引用先
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
2242010
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
1392013
Analyzing museum visitors’ behavior patterns
M Zancanaro, T Kuflik, Z Boger, D Goren-Bar, D Goldwasser
International Conference on User Modeling, 238-246, 2007
1022007
Learning latent engagement patterns of students in online courses
A Ramesh, D Goldwasser, B Huang, H Daume III, L Getoor
Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014
1012014
Learning from natural instructions
D Goldwasser, D Roth
Machine learning 94 (2), 205-232, 2014
872014
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
862010
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
732014
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
712011
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
682014
Structured Output Learning with Indirect Supervision.
MW Chang, V Srikumar, D Goldwasser, D Roth
ICML, 199-206, 2010
652010
Relation Alignment for Textual Entailment Recognition.
M Sammons, VGV Vydiswaran, T Vieira, N Johri, MW Chang, ...
TAC, 2009
482009
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
422014
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
332017
Reading to learn: Constructing features from semantic abstracts
J Eisenstein, J Clarke, D Goldwasser, D Roth
Proceedings of the 2009 Conference on Empirical Methods in Natural Language …, 2009
322009
“all I know about politics is what I read in twitter”: Weakly supervised models for extracting politicians’ stances from twitter
K Johnson, D Goldwasser
Proceedings of COLING 2016, the 26th International Conference on …, 2016
302016
Transliteration as constrained optimization
D Goldwasser, D Roth
Proceedings of the 2008 Conference on Empirical Methods in Natural Language …, 2008
282008
Unsupervised constraint driven learning for transliteration discovery
MW Chang, D Goldwasser, D Roth, Y Tu
Proceedings of Human Language Technologies: The 2009 Annual Conference of …, 2009
232009
Active sample selection for named entity transliteration
D Goldwasser, D Roth
Proceedings of ACL-08: HLT, Short Papers, 53-56, 2008
212008
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
172016
Semi-supervised structured prediction with neural crf autoencoder
X Zhang, Y Jiang, H Peng, K Tu, D Goldwasser
Proceedings of the 2017 conference on empirical methods in natural language …, 2017
162017
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