Dan Goldwasser

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Dan RothProfessor of Computer Science, University of PennsylvaniaZweryfikowany adres z seas.upenn.edu
Hal Daumé IIIAssociate Professor of Computer Science, University of MarylandZweryfikowany adres z umiacs.umd.edu
Ming-Wei ChangGoogle ResearchZweryfikowany adres z google.com
Kristen Marie JohnsonMichigan State UniversityZweryfikowany adres z msu.edu
Bert HuangAssistant Professor, Tufts University Department of Computer ScienceZweryfikowany adres z vt.edu
Lise GetoorProfessor of Computer Science, University of California, Santa CruzZweryfikowany adres z ucsc.edu
Arti RameshSenior Research Scientist, AI Labs, Educational Testing ServicesZweryfikowany adres z ets.org
Xiao ZhangAmazon Search Science and AIZweryfikowany adres z amazon.com
Maria Leonor PachecoDepartment of Computer Science, Purdue UniversityZweryfikowany adres z purdue.edu
Chang LiPurdue UniversityZweryfikowany adres z purdue.edu
I-Ta LeePurdue UniversityZweryfikowany adres z purdue.edu
Vivek SrikumarAssociate Professor, School of Computing, University of UtahZweryfikowany adres z cs.utah.edu
James ClarkeBasis TechnologyZweryfikowany adres z jamesclarke.net
Tsvi KuflikProfessor of Information Systems, The University of HaifaZweryfikowany adres z is.haifa.ac.il
Snigdha ChaturvediAssistant Professor, University of North Carolina, Chapel HillZweryfikowany adres z cs.unc.edu
Massimo ZancanaroUniversity of Trento and Fondazione Bruno Kessler - FBKZweryfikowany adres z unitn.it
Roi ReichartTechnion - Israel Institute of TechnologyZweryfikowany adres z ie.technion.ac.il
Nikhil JohriSoftware Engineering Manager at FacebookZweryfikowany adres z stanford.edu
Tim VieiraJohns Hopkins UniversityZweryfikowany adres z cs.jhu.edu
Jacob EisensteinGoogle ResearchZweryfikowany adres z google.com

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Dan Goldwasser

Purdue University

Zweryfikowany adres z purdue.edu - Strona główna

natural language processing machine learning


Tytuł Sortuj wg cytatów Sortuj wg roku Sortuj wg tytułu	Cytowane przez Cytowane przez	Rok
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	256	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	184	2013
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	132	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	114	2007
Learning from natural instructions D Goldwasser, D Roth Machine learning 94 (2), 205-232, 2014	109	2014
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	100	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	93	2010
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	87	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	79	2011
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	76	2019
Structured Output Learning with Indirect Supervision. MW Chang, V Srikumar, D Goldwasser, D Roth ICML, 199-206, 2010	69	2010
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	68	2017
Relation Alignment for Textual Entailment Recognition. M Sammons, VGV Vydiswaran, T Vieira, N Johri, MW Chang, ... TAC, 2009	55	2009
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	53	2018
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	51	2014
Classification of moral foundations in microblog political discourse K Johnson, D Goldwasser Proceedings of the 56th annual meeting of the association for computational …, 2018	47	2018
“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	45	2016
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	35	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	34	2009
Transliteration as constrained optimization D Goldwasser, D Roth Proceedings of the 2008 Conference on Empirical Methods in Natural Language …, 2008	30	2008

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