Dan Goldwasser

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Dan RothProfessor of Computer Science, University of PennsylvaniaDirección de correo verificada de seas.upenn.edu
Hal Daumé IIIAssociate Professor of Computer Science, University of MarylandDirección de correo verificada de umiacs.umd.edu
Ming-Wei ChangGoogle ResearchDirección de correo verificada de google.com
Bert HuangAssistant Professor, Tufts University Department of Computer ScienceDirección de correo verificada de vt.edu
Lise GetoorProfessor of Computer Science, University of California, Santa CruzDirección de correo verificada de ucsc.edu
Arti RameshSenior Research Scientist, AI Labs, Educational Testing ServicesDirección de correo verificada de ets.org
Kristen Marie JohnsonMichigan State UniversityDirección de correo verificada de msu.edu
Xiao ZhangAmazon Search Science and AIDirección de correo verificada de amazon.com
Chang LiPurdue UniversityDirección de correo verificada de purdue.edu
Maria Leonor PachecoDepartment of Computer Science, Purdue UniversityDirección de correo verificada de purdue.edu
I-Ta LeePurdue UniversityDirección de correo verificada de purdue.edu
Vivek SrikumarAssociate Professor, School of Computing, University of UtahDirección de correo verificada de cs.utah.edu
James ClarkeBasis TechnologyDirección de correo verificada de jamesclarke.net
Tsvi KuflikProfessor of Information Systems, The University of HaifaDirección de correo verificada de is.haifa.ac.il
Snigdha ChaturvediAssistant Professor, University of North Carolina, Chapel HillDirección de correo verificada de cs.unc.edu
Massimo ZancanaroUniversity of Trento and Fondazione Bruno Kessler - FBKDirección de correo verificada de unitn.it
Roi ReichartTechnion - Israel Institute of TechnologyDirección de correo verificada de ie.technion.ac.il
Nikhil JohriSoftware Engineering Manager at FacebookDirección de correo verificada de stanford.edu
Tim VieiraJohns Hopkins UniversityDirección de correo verificada de cs.jhu.edu
Jacob EisensteinGoogle ResearchDirección de correo verificada de google.com

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Dan Goldwasser

Purdue University

Dirección de correo verificada de purdue.edu - Página principal

natural language processing machine learning


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
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	249	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	182	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	134	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	111	2007
Learning from natural instructions D Goldwasser, D Roth Machine learning 94 (2), 205-232, 2014	110	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	92	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	70	2019
Structured Output Learning with Indirect Supervision. MW Chang, V Srikumar, D Goldwasser, D Roth ICML, 199-206, 2010	68	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	66	2017
Relation Alignment for Textual Entailment Recognition. M Sammons, VGV Vydiswaran, T Vieira, N Johri, MW Chang, ... TAC, 2009	53	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	51	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
“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	44	2016
Classification of moral foundations in microblog political discourse K Johnson, D Goldwasser Proceedings of the 56th Annual Meeting of the Association for Computational …, 2018	41	2018
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	33	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	33	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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