Dan Goldwasser

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Dan RothProfessor of Computer Science, University of PennsylvaniaDirección de correo verificada de seas.upenn.edu
Maria Leonor PachecoAssistant Professor, University of Colorado BoulderDirección de correo verificada de colorado.edu
Hal Daumé IIIAssociate Professor of Computer Science, University of MarylandDirección de correo verificada de umiacs.umd.edu
Kristen Marie JohnsonMichigan State UniversityDirección de correo verificada de msu.edu
Ming-Wei ChangGoogle DeepmindDirección de correo verificada de google.com
Chang LiPurdue UniversityDirección de correo verificada de purdue.edu
Bert HuangAssistant Professor, Tufts University Department of Computer ScienceDirección de correo verificada de vt.edu
Lise GetoorDistinguished Professor of Computer Science & Engineering, University of California, Santa CruzDirección de correo verificada de ucsc.edu
Xiao ZhangAmazon Search Science and AIDirección de correo verificada de amazon.com
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 ChaturvediAssociate 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
Benjamin B. BedersonProfessor of Computer Science, University of MarylandDirección de correo verificada de cs.umd.edu

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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	282	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	211	2013
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	186	2019
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	166	2014
Learning from natural instructions D Goldwasser, D Roth Machine learning 94, 205-232, 2014	136	2014
Analyzing museum visitors’ behavior patterns M Zancanaro, T Kuflik, Z Boger, D Goren-Bar, D Goldwasser User Modeling 2007: 11th International Conference, UM 2007, Corfu, Greece …, 2007	134	2007
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	127	2014
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	106	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	98	2010
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	93	2018
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	92	2017
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	90	2011
Classification of moral foundations in microblog political discourse K Johnson, D Goldwasser Proceedings of the 56th annual meeting of the association for computational …, 2018	86	2018
Structured Output Learning with Indirect Supervision. MW Chang, V Srikumar, D Goldwasser, D Roth ICML, 199-206, 2010	77	2010
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	61	2019
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	60	2014
Relation Alignment for Textual Entailment Recognition. M Sammons, VGV Vydiswaran, T Vieira, N Johri, MW Chang, ... TAC, 2009	59	2009
Weakly supervised learning of nuanced frames for analyzing polarization in news media S Roy, D Goldwasser arXiv preprint arXiv:2009.09609, 2020	57	2020
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	56	2016
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	51	2021

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