Jason Eisner

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	All	Since 2015
Citations	16144	6496
h-index	52	36
i10-index	112	81

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Co-authors

Ryan CotterellETH Zürich, University of CambridgeVerified email at inf.ethz.ch
Lyle UngarUniversity of PennsylvaniaVerified email at cis.upenn.edu
Noah A. SmithUniversity of Washington; Allen Institute for Artificial IntelligenceVerified email at cs.washington.edu
Christo KirovJohns Hopkins UniversityVerified email at jhu.edu
Mans HuldenUniversity of ColoradoVerified email at colorado.edu
Hal Daumé IIIAssociate Professor of Computer Science, University of MarylandVerified email at umiacs.umd.edu
David YarowskyProfessor of Computer Science, Johns Hopkins UniversityVerified email at jhu.edu
David A. SmithAssociate Professor, College of Computer and Information Science, Northeastern UniversityVerified email at ccs.neu.edu
Markus DreyerPh.D., Johns Hopkins UniversityVerified email at cs.jhu.edu
Sanjeev KhudanpurThe Johns Hopkins UniversityVerified email at jhu.edu
Sabrina J. MielkePhD student, Johns Hopkins UniversityVerified email at jhu.edu
Ekaterina VylomovaUniversity of MelbourneVerified email at unimelb.edu.au
Géraldine WaltherGeorge Mason UniversityVerified email at gmu.edu
Veselin StoyanovFacebook AIVerified email at fb.com
Damianos KarakosRaytheon BBN TechnologiesVerified email at raytheon.com
Christine PiatkoJohns Hopkins UniversityVerified email at jhuapl.edu
He HeNew York UniversityVerified email at cs.nyu.edu
Mark DredzeJohns Hopkins UniversityVerified email at cs.jhu.edu
Omar F. ZaidanJohns Hopkins UniversityVerified email at cs.jhu.edu
Matthew R. GormleyCarnegie Mellon UniversityVerified email at cs.cmu.edu

Jason Eisner

Professor of Computer Science, Johns Hopkins University

Verified email at cs.jhu.edu - Homepage

Natural Language Processing Machine Learning Declarative Programming Languages


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Secure data interchange FSM Herz, WP Labys, DC Parkes, S Kannan, JM Eisner US Patent 7,630,986, 2009	2216	2009
System for generation of user profiles for a system for customized electronic identification of desirable objects FSM Herz, JM Eisner, LH Ungar, MP Marcus US Patent 5,754,939, 1998	2015	1998
System for generation of object profiles for a system for customized electronic identification of desirable objects FSM Herz, JM Eisner, LH Ungar US Patent 5,835,087, 1998	1589	1998
Pseudonymous server for system for customized electronic identification of desirable objects FSM Herz, JM Eisner, M Salganicoff US Patent 5,754,938, 1998	1369	1998
System for the automatic determination of customized prices and promotions F Herz, J Eisner, L Unger, WP Labys, B Roemmele, J Hayward US Patent App. 20,010/014,868, 1998	1234	1998
Three new probabilistic models for dependency parsing: An exploration J Eisner arXiv preprint cmp-lg/9706003, 1997	765	1997
Contrastive estimation: Training log-linear models on unlabeled data NA Smith, J Eisner Proceedings of the 43rd Annual Meeting of the Association for Computational …, 2005	351	2005
Learning non-isomorphic tree mappings for machine translation J Eisner The Companion Volume to the Proceedings of 41st Annual Meeting of the …, 2003	303	2003
Lempel-Ziv data compression technique utilizing a dictionary pre-filled with frequent letter combinations, words and/or phrases JC Reynar, F Herz, J Eisner, L Ungar US Patent RE41,152, 2010	244*	2010
Parameter estimation for probabilistic finite-state transducers J Eisner Proceedings of the 40th Annual Meeting of the Association for Computational …, 2002	192	2002
The neural Hawkes process: A neurally self-modulating multivariate point process H Mei, JM Eisner Advances in Neural Information Processing Systems, 6754-6764, 2017	183	2017
Using “annotator rationales” to improve machine learning for text categorization O Zaidan, J Eisner, C Piatko Human language technologies 2007: The conference of the North American …, 2007	182	2007
Efficient parsing for bilexical context-free grammars and head automaton grammars J Eisner, G Satta Proceedings of the 37th annual meeting of the Association for Computational …, 1999	172	1999
Efficient generation in primitive Optimality Theory J Eisner ANNUAL MEETING-ASSOCIATION FOR COMPUTATIONAL LINGUISTICS 35, 313-320, 1997	164	1997
Bilexical grammars and their cubic-time parsing algorithms J Eisner Advances in probabilistic and other parsing technologies, 29-61, 2000	162	2000
The SIGMORPHON 2016 shared task—morphological reinflection R Cotterell, C Kirov, J Sylak-Glassman, D Yarowsky, J Eisner, M Hulden Proceedings of the 14th SIGMORPHON Workshop on Computational Research in …, 2016	159	2016
Dependency parsing by belief propagation DA Smith, J Eisner Proceedings of the 2008 Conference on Empirical Methods in Natural Language …, 2008	155	2008
Minimum risk annealing for training log-linear models DA Smith, J Eisner Proceedings of the COLING/ACL 2006 Main Conference Poster Sessions, 787-794, 2006	154	2006
CoNLL-SIGMORPHON 2017 shared task: Universal morphological reinflection in 52 languages R Cotterell, C Kirov, J Sylak-Glassman, G Walther, E Vylomova, P Xia, ... arXiv preprint arXiv:1706.09031, 2017	140*	2017
System for customized electronic identification of desirable objects FSM Herz, JM Eisner, JM Smith, SL Salzberg US Patent App. 12/372,435, 2009	140	2009

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