| 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 | 227 | 2010 |
| 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 | 141 | 2013 |
| Learning latent engagement patterns of students in online courses A Ramesh, D Goldwasser, B Huang, H Daumé III, L Getoor Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence …, 2014 | 104 | 2014 |
| Analyzing museum visitors’ behavior patterns M Zancanaro, T Kuflik, Z Boger, D Goren-Bar, D Goldwasser International Conference on User Modeling, 238-246, 2007 | 103 | 2007 |
| Learning from natural instructions D Goldwasser, D Roth Machine learning 94 (2), 205-232, 2014 | 91 | 2014 |
| 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 | 87 | 2010 |
| 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 | 78 | 2014 |
| 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 | 71 | 2011 |
| 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 | 69 | 2014 |
| Structured Output Learning with Indirect Supervision. MW Chang, V Srikumar, D Goldwasser, D Roth ICML, 199-206, 2010 | 65 | 2010 |
| Relation Alignment for Textual Entailment Recognition. M Sammons, VGV Vydiswaran, T Vieira, N Johri, MW Chang, ... TAC, 2009 | 50 | 2009 |
| 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 | 43 | 2014 |
| 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 | 38 | 2017 |
| “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 | 32 | 2016 |
| 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 | 32 | 2009 |
| Transliteration as constrained optimization D Goldwasser, D Roth Proceedings of the 2008 Conference on Empirical Methods in Natural Language …, 2008 | 28 | 2008 |
| 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 | 23 | 2009 |
| Semi-supervised structured prediction with neural crf autoencoder X Zhang, Y Jiang, H Peng, K Tu, D Goldwasser Association for Computational Linguistics (ACL), 2017 | 21 | 2017 |
| Active sample selection for named entity transliteration D Goldwasser, D Roth Proceedings of ACL-08: HLT, Short Papers, 53-56, 2008 | 21 | 2008 |
| 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 | 20 | 2018 |
Hal Daumé IIIAssociate Professor of Computer Science, University of MarylandBestätigte E-Mail-Adresse bei umiacs.umd.edu
