Jason Eisner

	2011
46		Markus Dreyer, Jason Eisner: Discovering Morphological Paradigms from Plain Text Using a Dirichlet Process Mixture Model. EMNLP 2011: 616-627
45		Zhifei Li, Ziyuan Wang, Jason Eisner, Sanjeev Khudanpur, Brian Roark: Minimum Imputed-Risk: Unsupervised Discriminative Training for Machine Translation. EMNLP 2011: 920-929
44		Veselin Stoyanov, Alexander Ropson, Jason Eisner: Empirical Risk Minimization of Graphical Model Parameters Given Approximate Inference, Decoding, and Model Structure. Journal of Machine Learning Research - Proceedings Track 15: 725-733 (2011)
	2010
43		Zhifei Li, Ziyuan Wang, Sanjeev Khudanpur, Jason Eisner: Unsupervised Discriminative Language Model Training for Machine Translation using Simulated Confusion Sets. COLING (Posters) 2010: 656-664
42		Jason Eisner, Nathaniel W. Filardo: Dyna: Extending Datalog for Modern AI. Datalog 2010: 181-220
	2009
41		James Mayfield, David Alexander, Bonnie J. Dorr, Jason Eisner, Tamer Elsayed, Tim Finin, Clayton Fink, Marjorie Freedman, Nikesh Garera, Paul McNamee, Saif Mohammad, Douglas W. Oard, Christine D. Piatko, Asad B. Sayeed, Zareen Syed, Ralph M. Weischedel, Tan Xu, David Yarowsky: Cross-Document Coreference Resolution: A Key Technology for Learning by Reading. AAAI Spring Symposium: Learning by Reading and Learning to Read 2009: 65-70
40		Zhifei Li, Jason Eisner, Sanjeev Khudanpur: Variational Decoding for Statistical Machine Translation. ACL/AFNLP 2009: 593-601
39		Roy W. Tromble, Jason Eisner: Learning Linear Ordering Problems for Better Translation. EMNLP 2009: 1007-1016
38		Markus Dreyer, Jason Eisner: Graphical Models over Multiple Strings. EMNLP 2009: 101-110
37		Zhifei Li, Jason Eisner: First- and Second-Order Expectation Semirings with Applications to Minimum-Risk Training on Translation Forests. EMNLP 2009: 40-51
36		David A. Smith, Jason Eisner: Parser Adaptation and Projection with Quasi-Synchronous Grammar Features. EMNLP 2009: 822-831
	2008
35		Damianos Karakos, Jason Eisner, Sanjeev Khudanpur, Markus Dreyer: Machine Translation System Combination using ITG-based Alignments. ACL (Short Papers) 2008: 81-84
34		Markus Dreyer, Jason Smith, Jason Eisner: Latent-Variable Modeling of String Transductions with Finite-State Methods. EMNLP 2008: 1080-1089
33		David A. Smith, Jason Eisner: Dependency Parsing by Belief Propagation. EMNLP 2008: 145-156
32		Omar Zaidan, Jason Eisner: Modeling Annotators: A Generative Approach to Learning from Annotator Rationales. EMNLP 2008: 31-40
	2007
31		David A. Smith, Jason Eisner: Bootstrapping Feature-Rich Dependency Parsers with Entropic Priors. EMNLP-CoNLL 2007: 667-677
30		Damianos Karakos, Jason Eisner, Sanjeev Khudanpur, Carey E. Priebe: Cross-Instance Tuning of Unsupervised Document Clustering Algorithms. HLT-NAACL 2007: 252-259
29		Omar Zaidan, Jason Eisner, Christine D. Piatko: Using "Annotator Rationales" to Improve Machine Learning for Text Categorization. HLT-NAACL 2007: 260-267
	2006
28		Noah A. Smith, Jason Eisner: Annealing Structural Bias in Multilingual Weighted Grammar Induction. ACL 2006
27		David A. Smith, Jason Eisner: Minimum Risk Annealing for Training Log-Linear Models. ACL 2006
26		Joshua Mason, Kathryn Watkins, Jason Eisner, Adam Stubblefield: A natural language approach to automated cryptanalysis of two-time pads. ACM Conference on Computer and Communications Security 2006: 235-244
25		Markus Dreyer, Jason Eisner: Better Informed Training of Latent Syntactic Features. EMNLP 2006: 317-326
24		Roy W. Tromble, Jason Eisner: A fast finite-state relaxation method for enforcing global constraints on sequence decoding. HLT-NAACL 2006
	2005
23		Noah A. Smith, Jason Eisner: Contrastive Estimation: Training Log-Linear Models on Unlabeled Data. ACL 2005
22		André Kempe, Jean-Marc Champarnaud, Jason Eisner, Franck Guingne, Florent Nicart: A Class of Rational n-WFSM Auto-intersections. CIAA 2005: 188-198
21		Jason Eisner, Damianos Karakos: Bootstrapping Without the Boot. HLT/EMNLP 2005
20		Jason Eisner, Eric Goldlust, Noah A. Smith: Compiling Comp Ling: Weighted Dynamic Programming and the Dyna Language. HLT/EMNLP 2005
	2004
19		Noah A. Smith, Jason Eisner: Annealing Techniques For Unsupervised Statistical Language Learning. ACL 2004: 486-493
	2003
18		Jason Eisner: Learning Non-Isomorphic Tree Mappings for Machine Translation. ACL (Companion) 2003: 205-208
17		Jason Eisner: Simpler and More General Minimization for Weighted Finite-State Automata. HLT-NAACL 2003
	2002
16		Jason Eisner: Parameter Estimation for Probabilistic Finite-State Transducers. ACL 2002: 1-8
15		Jason Eisner: Phonological Comprehension and the Compilation of Optimality Theory. ACL 2002: 56-63
14		Jason Eisner: Introduction to the special section on linguistically apt statistical methods. Cognitive Science 26(3): 235-237 (2002)
13		Jason Eisner: Discovering syntactic deep structure via Bayesian statistics. Cognitive Science 26(3): 255-268 (2002)
	2001
12		Jason Eisner: Easy and Hard Constraint Ranking in OT: Algorithms and Complexity CoRR cs.CL/0102019: (2001)
11		Jason Eisner, Lauri Karttunen, Alain Theriault: Finite-State Phonology: Proceedings of the 5th Workshop of the ACL Special Interest Group in Computational Phonology (SIGPHON) CoRR cs.CL/0102022: (2001)
	2000
10		Jason Eisner: Directional Constraint Evaluation in Optimality Theory. COLING 2000: 257-263
	1999
9		Jason Eisner, Giorgio Satta: Efficient Parsing for Bilexical Context-Free Grammars and Head Automaton Grammars. ACL 1999
	1997
8		Jason Eisner: Efficient Generation in Primitive Optimality Theory. ACL 1997: 313-320
7		Jason Eisner: Three New Probabilistic Models for Dependency Parsing: An Exploration CoRR cmp-lg/9706003: (1997)
6		Jason Eisner: An Empirical Comparison of Probability Models for Dependency Grammar CoRR cmp-lg/9706004: (1997)
	1996
5		Jason Eisner: Efficient Normal-Form Parsing for Combinatory Categorial Grammar. ACL 1996: 79-86
4		Jason Eisner: Three New Probabilistic Models for Dependency Parsing: An Exploration. COLING 1996: 340-345
3		Jason Eisner: Efficient Normal-Form Parsing for Combinatory Categorial Grammar CoRR cmp-lg/9605038: (1996)
	1995
2		Breck Baldwin, Mike Collins, Jason Eisner, Adwait Ratnaparkhi, Joseph Rosenzweig, Anoop Sarkar: University of Pennsylvania: description of the University of Pennsylvania system used for MUC-6. MUC 1995: 177-191
	1992
1		Mark A. Jones, Jason Eisner: A Probabilistic Parser Applied to Software Testing Documents. AAAI 1992: 322-328

Coauthor Index

1	David Alexander	[41]
2	Breck Baldwin	[2]
3	Jean-Marc Champarnaud	[22]
4	Mike Collins	[2]
5	Bonnie J. Dorr	[41]
6	Markus Dreyer	[25] [34] [35] [38] [46]
7	Tamer Elsayed	[41]
8	Nathaniel W. Filardo	[42]
9	Timothy W. Finin (Tim Finin)	[41]
10	Clayton Fink	[41]
11	Marjorie Freedman	[41]
12	Nikesh Garera	[41]
13	Eric Goldlust	[20]
14	Franck Guingne	[22]
15	Mark A. Jones	[1]
16	Damianos Karakos	[21] [30] [35]
17	Lauri Karttunen	[11]
18	André Kempe	[22]
19	Sanjeev Khudanpur	[30] [35] [40] [43] [45]
20	Zhifei Li	[37] [40] [43] [45]
21	Joshua Mason	[26]
22	James Mayfield	[41]
23	Paul McNamee	[41]
24	Saif Mohammad	[41]
25	Florent Nicart	[22]
26	Douglas W. Oard	[41]
27	Christine D. Piatko	[29] [41]
28	Carey E. Priebe	[30]
29	Adwait Ratnaparkhi	[2]
30	Brian Roark	[45]
31	Alexander Ropson	[44]
32	Joseph Rosenzweig	[2]
33	Anoop Sarkar	[2]
34	Giorgio Satta	[9]
35	Asad B. Sayeed	[41]
36	David A. Smith	[27] [31] [33] [36]
37	Jason Smith	[34]
38	Noah A. Smith	[19] [20] [23] [28]
39	Veselin Stoyanov	[44]
40	Adam Stubblefield	[26]
41	Zareen Syed (Zareen Saba Syed)	[41]
42	Alain Theriault	[11]
43	Roy W. Tromble	[24] [39]
44	Ziyuan Wang	[43] [45]
45	Kathryn Watkins	[26]
46	Ralph M. Weischedel	[41]
47	Tan Xu	[41]
48	David Yarowsky	[41]
49	Omar Zaidan	[29] [32]

Colors in the list of coauthors

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