Eisner, Jason

Professor
Computer Science
http://cs.jhu.edu/~jason

Hackerman Hall 324C
(410) 516-8438
eisner@jhu.edu

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About

Education
  • Ph.D. 2001, Univ Pennsylvania
Experience
  • 2014 - 2014:  Area Chair, Machine Learning
  • 2014 - 2014:  Area Co-Chair, Machine Learning
  • 2011 - Present:  J/S FACULTY APPOINTMENT, A&S Cognitive Science
  • 2010 - Present:  Professor, A&S Cognitive Science
  • 2008 - 2008:  Program Co-chair, SIGMORPHON
  • 2007 - Present:  Officer, SIGDAT
  • 2006 - 2006:  Area Chair, EMNLP
  • 2006 - 2007:  Program chair, EMNLP-CoNLL
  • 2005 - 2006:  Area Chair, EACL
  • 2005 - 2006:  Area Co-Chair, NAACL
  • 2004 - 2005:  Chair, ACL
  • 2003 - 2003:  Co-chair, HLT-NAACL
  • 2001 - Present:  Officer, SIGMORPHON
  • 2000 - 2008:  President, ACL SIGMORPHON
Research Areas
  • COMPUTATIONAL linguistics
  • Declarative programming
  • Deductive databases
  • MACHINE learning
  • Natural Language Processing
Awards
  • 2013:  Alumni Association Excellence in Teaching Award
  • 2011:  A 2006 paper was nominated for a 5-year Retrospective Best Paper Award
  • 2010:  EMNLP Best Reviewers Award
  • 2009:  ACL Best Paper Award Finalist
  • 2007:  EMNLP-CoNLL Best Paper Award Finalist
  • 2005:  ACL Best Paper Award Finalist
  • 2005:  Robert B. Pond - Sr. Excellence in Teaching Award (WSE)
  • 2002:  EMNLP Best Paper Award Finalist
  • 2001:  Runner up for "best teacher of 2001-2002 - " Johns Hopkins News-Letter
  • 1995:  Graduate Teaching Award
  • 1993:  First-class honors (Cambridge)
  • 1993:  NSF Graduate Research Fellowship (Penn)
  • 1991:  Herchel Smith Harvard Scholarship (Cambridge)
  • 1990:  Fulbright Scholarship (Cape Town)
  • 1990:  Summa cum laude and junior-year PBK (Harvard)
  • 1986:  Harvard National Scholarship (Harvard)
Presentations
  • "Weighted deduction for analyzing natural language and other data", AAAI Fall Symposium.  Arlington, VA.  November 1, 2014
  • "Learning phonology from surface data: Reconstructing the inputs", SIGMORPHON/SIGFSM Joint Meeting.  June 1, 2014

Publications

Journal Articles
  • Vieira T, Francis-Landau M, Filardo NW, Khorasani F, Eisner J (2017).  Dyna: Toward a self-optimizing declarative language for machine learning applications.  MAPL 2017 - Proceedings of the 1st ACM SIGPLAN International Workshop on Machine Learning and Programming Languages, co-located with PLDI 2017.
  • Francis-Landau M, Xue B, Eisner J, Sarkar V (2017).  Fine-grained parallelism in probabilistic parsing with Habanero Java.  Proceedings of IA3 2016 - 6th Workshop on Irregular Applications: Architectures and Algorithms, Held in conjunction with SC 2016: The International Conference for High Performance Computing, Networking, Storage and Analysis.
  • Cotterell R, Poliak A, Van Durme B, Eisner J (2017).  Explaining and generalizing skip-gram through exponential family principal component analysis.  15th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2017 - Proceedings of Conference.  2.
  • Andrews N, Dredze M, Van Durme B, Eisner J (2017).  Bayesian modeling of lexical resources for low-resource settings.  ACL 2017 - 55th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference (Long Papers).  1.
  • Cotterell R, Eisner J (2017).  Probabilistic typology: Deep generative models of vowel inventories.  ACL 2017 - 55th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference (Long Papers).  1.
  • Mei H, Eisner J (2017).  The neural Hawkes process: A neurally self-modulating multivariate point process.  Advances in Neural Information Processing Systems.  2017-December.
  • Cotterell R, Schütze H, Eisner J (2016).  Morphological smoothing and extrapolation of word embeddings.  54th Annual Meeting of the Association for Computational Linguistics, ACL 2016 - Long Papers.  3.
  • Renduchintala A, Knowles R, Koehn P, Eisner J (2016).  User modeling in language learning with macaronic texts.  54th Annual Meeting of the Association for Computational Linguistics, ACL 2016 - Long Papers.  4.
  • Renduchintala A, Knowles R, Koehn P, Eisner J (2016).  Creating interactive macaronic interfaces for language learning.  54th Annual Meeting of the Association for Computational Linguistics, ACL 2016 - System Demonstrations.
  • Rastogi P, Cotterell R, Eisner J (2016).  Weighting finite-state transductions with neural context.  2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL HLT 2016 - Proceedings of the Conference.
  • Peng N, Cotterell R, Eisner J (2015).  Dual decomposition inference for graphical models over strings.  Conference Proceedings - EMNLP 2015: Conference on Empirical Methods in Natural Language Processing.
  • Cotterell R, Eisner J (2015).  Penalized expectation propagation for graphical models over strings.  NAACL HLT 2015 - 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference.
  • He H, Daumé H, Eisner J (2014).  Learning to search in branch-and-bound algorithms.  Advances in Neural Information Processing Systems.  4(January).
  • Andrews N, Eisner J, Dredze M (2014).  Robust entity clustering via phylogenetic inference.  52nd Annual Meeting of the Association for Computational Linguistics, ACL 2014 - Proceedings of the Conference.  1.
  • Cotterell R, Peng N, Eisner J (2014).  Stochastic contextual edit distance and probabilistic FSTs.  52nd Annual Meeting of the Association for Computational Linguistics, ACL 2014 - Proceedings of the Conference.  2.
  • Sánchez-Vega F, Eisner J, Younes L, Geman D (2013).  Learning multivariate distributions by competitive assembly of marginals.  IEEE Transactions on Pattern Analysis and Machine Intelligence.  35(2).
  • Gormley MR, Eisner J (2013).  Nonconvex global optimization for latent-variable models.  ACL 2013 - 51st Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference.  1.
  • He H, Daumé H, Eisner J (2013).  Dynamic feature selection for dependency parsing.  EMNLP 2013 - 2013 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference.
  • Stoyanov V, Eisner J (2012).  Easy-first coreference resolution.  24th International Conference on Computational Linguistics - Proceedings of COLING 2012: Technical Papers.
  • He H, Daumé H, Eisner J (2012).  Imitation learning by coaching.  Advances in Neural Information Processing Systems.  4.
  • Filardo NW, Eisner J (2012).  A flexible solver for finite arithmetic circuits.  Leibniz International Proceedings in Informatics, LIPIcs.  17.
  • Andrews N, Eisner J, Dredze M (2012).  Name phylogeny: A generative model of string variation.  EMNLP-CoNLL 2012 - 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, Proceedings of the Conference.
  • Jiang J, Teichert A, Daumé H, Eisner J (2012).  Learned prioritization for trading off accuracy and speed.  Advances in Neural Information Processing Systems.  2.
  • Sánchez-Vega F, Eisner J, Younes E, Geman D (2012).  Learning Multivariate Distributions by Competitive Assembly of Marginals.  IEEE Transactions on Pattern Analysis and Machine Intelligence.  99.
  • Stoyanov V, Eisner J (2012).  Minimum-risk training of approximate CRF-based NLP systems.  NAACL HLT 2012 - 2012 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference.
  • Paul MJ, Eisner J (2012).  Implicitly intersectingweighted automata using dual decomposition.  NAACL HLT 2012 - 2012 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference.
  • Smith J, Eisner J (2012).  Unsupervised learning on an approximate corpus.  NAACL HLT 2012 - 2012 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference.
  • Gormley MR, Dredze M, Van Durme B, Eisner J (2012).  Shared components topic models.  NAACL HLT 2012 - 2012 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference.
  • Stoyanov V, Ropson A, Eisner J (2011).  Empirical risk minimization of graphical model parameters given approximate inference, decoding, and model structure.  Journal of Machine Learning Research.  15.
  • Eisner J, Filardo NW (2011).  Dyna: Extending datalog for modern AI.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  6702 LNCS.
  • Li Z, Eisner J, Wang Z, Khudanpur S, Roark B (2011).  Minimum imputed risk: Unsupervised discriminative training for machine translation.  EMNLP 2011 - Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference.
  • Dreyer M, Eisner J (2011).  Discovering morphological paradigms from plain text using a dirichlet process mixture model.  EMNLP 2011 - Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference.
  • Li Z, Wang Z, Khudanpur S, Eisner J (2010).  Unsupervised discriminative language model training for machine translation using simulated confusion sets.  Coling 2010 - 23rd International Conference on Computational Linguistics, Proceedings of the Conference.  2.
  • Strong G, Eisner J, Piatko C (2010).  Establishing a human language technology center of excellence.  Johns Hopkins APL Technical Digest (Applied Physics Laboratory).  28(3).
  • Smith DA, Eisner J (2009).  Parser adaptation and projection with quasi-synchronous grammar features.  EMNLP 2009 - Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: A Meeting of SIGDAT, a Special Interest Group of ACL, Held in Conjunction with ACL-IJCNLP 2009.
  • Tromble R, Eisner J (2009).  Learning Linear Ordering Problems for better translation.  EMNLP 2009 - Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: A Meeting of SIGDAT, a Special Interest Group of ACL, Held in Conjunction with ACL-IJCNLP 2009.
  • Li Z, Eisner J (2009).  First- and second-order expectation semirings with applications to minimum-risk training on translation forests.  EMNLP 2009 - Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: A Meeting of SIGDAT, a Special Interest Group of ACL, Held in Conjunction with ACL-IJCNLP 2009.
  • Dreyer M, Eisner J (2009).  Graphical models over multiple strings.  EMNLP 2009 - Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: A Meeting of SIGDAT, a Special Interest Group of ACL, Held in Conjunction with ACL-IJCNLP 2009.
  • Mayfield J, Alexander D, Dorr B, Eisner J, Elsayed T, Finin T, Fink C, Freedman M, Garera N, Mcnamee P, Mohammad S, Oard D, Piatko C, Sayeed A, Syed Z, Weischedel R, Xu T, Yarowsky D (2009).  Cross-document coreference resolution: A key technology for learning by reading.  AAAI Spring Symposium - Technical Report.  SS-09-07.
  • Dreyer M, Smith JR, Eisner J (2008).  Latent-variable modeling of string transductions with finite-state methods.  EMNLP 2008 - 2008 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference: A Meeting of SIGDAT, a Special Interest Group of the ACL.
  • Smith DA, Eisner J (2008).  Dependency parsing by belief propagation.  EMNLP 2008 - 2008 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference: A Meeting of SIGDAT, a Special Interest Group of the ACL.
  • Karakos D, Eisner J, Khudanpur S, Dreyer M (2008).  Machine translation system combination using ITG-based alignments.  ACL-08: HLT - 46th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference.
  • Zaidan OF, Eisner J (2008).  Modeling annotators: A generative approach to learning from annotator rationales.  EMNLP 2008 - 2008 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference: A Meeting of SIGDAT, a Special Interest Group of the ACL.
  • Karakos D, Eisner J, Khudanpur S, Priebe CE (2007).  Cross-instance tuning of unsupervised document clustering algorithms.  NAACL HLT 2007 - Human Language Technologies 2007: The Conference of the North American Chapter of the Association for Computational Linguistics, Proceedings of the Main Conference.
  • Smith DA, Eisner J (2007).  Bootstrapping feature-rich dependency parsers with entropic priors.  EMNLP-CoNLL 2007 - Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning.
  • Zaidan OF, Eisner J, Piatko CD (2007).  Using "annotator rationales" to improve machine learning for text categorization.  NAACL HLT 2007 - Human Language Technologies 2007: The Conference of the North American Chapter of the Association for Computational Linguistics, Proceedings of the Main Conference.
  • Karakos D, Khudanpur S, Eisner J, Priebe CE (2007).  Iterative denoising using Jensen-Renyi divergences with an application to unsupervised document categorization.  ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings.  2.
  • Smith NA, Eisner J (2006).  Annealing structural bias in multilingual weighted grammar induction.  COLING/ACL 2006 - 21st International Conference on Computational Linguistics and 44th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference.  1.
  • Dreyer M, Eisner J (2006).  Better informed training of latent syntactic features.  COLING/ACL 2006 - EMNLP 2006: 2006 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference.
  • Mason J, Watkins K, Eisner J, Stubblefield A (2006).  A natural language approach to automated cryptanalysis of two-time pads.  Proceedings of the ACM Conference on Computer and Communications Security.
  • Tromble RW, Eisner J (2006).  A fast finite-state relaxation method for enforcing global constraints on sequence decoding.  HLT-NAACL 2006 - Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics, Proceedings of the Main Conference.
  • Kempe A, Champarnaud JM, Eisner J, Guingne F, Nicart F (2006).  A class of rational n-WFSM auto-intersections.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  3845 LNCS.
  • Eisner J, Karakos D (2005).  Bootstrapping without the boot.  HLT/EMNLP 2005 - Human Language Technology Conference and Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference.
  • Eisner J, Goldlust E, Smith NA (2005).  Compiling comp ling: Practical weighted dynamic programming and the Dyna language.  HLT/EMNLP 2005 - Human Language Technology Conference and Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference.
  • Smith NA, Eisner J (2005).  Contrastive estimation: Training log-linear models on unlabeled data.  ACL-05 - 43rd Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference.
  • Karakos D, Khudanpur S, Eisner J, Priebe CE (2005).  Unsupervised classification via decision trees: An information-theoretic perspective.  ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings.  V.
  • Eng J, Eisner JM (2004).  Radiology report entry with automatic phrase completion driven by language modeling.  Radiographics.  24(5).
  • Eng J, Eisner J (2004).  Radiology Report Entry With Automatic Phrase Completion Driven by Language Modeling.  Radiographics.  24(5).  1493-1501.
  • Eisner J (2002).  Discovering syntactic deep structure via Bayesian statistics.  Cognitive Science.  26(3).
  • Eisner J (2002).  Introduction to the special section on linguistically apt statistical methods.  Cognitive Science.  26(3).
  • Eisner J (2002).  Introduction to the Special Section on Linguistically Apt Statistical Methods.  Cognitive Science.  26(3).  235-237.
  • Eisner J (2002).  Discovering Syntactic Deep Structure via Bayesian Statistics.  Cognitive Science.  26(3).  255-268.
  • Eisner J (2000).  Review of Optimality Theory by René Kager.  Computational Linguistics.  26(2).  286-290.
  • Eisner J (2000).  The Science of Language: Computational Linguistics.  Imagine Magazine.  7(4).  14-15.
Book Chapters
  • Rosti A, Matusov E, Smith J, Ayan N, Eisner J, Karakos D, Khudanpur S, Leusch G, Li Z, Matsoukas S, Ney H, Schwartz R, Zhang B, Zheng J (2011).  Confusion Network Decoding for MT System Combination.  Handbook of Natural Language Processing and Machine Translation.  Springer.  333-361.
  • Eisner J, Filardo NW (2011).  Dyna: Extending Datalog For Modern AI.  Datalog Reloaded.  Springer.  6702.  181-220.
  • Eisner J, Smith NA (2010).  Favor Short Dependencies: Parsing with Soft and Hard Constraints on Dependency Length.  Trends in Parsing Technology: Dependency Parsing, Domain Adaptation, and Deep Parsing.  Springer.  121-150.
  • Eisner J (2000).  Bilexical Grammars and Their Cubic-Time Parsing Algorithms.  Advances in Probabilistic and Other Parsing Technologies.  Kluwer Academic Publishers.  29-62.
Other Publications
  • Cui J, Eisner J (2006).  Finite-State Dirichlet Allocation: Learned Priors on Finite-State Models.  Center for Language and Speech Processing, Johns Hopkins University.  (53).
  • Hajic J, Cmejrek M, Dorr B, Ding Y, Eisner J, Gildea D, Koo T, Parton K, Penn G, Radev D, Rambow O (2004).  Natural Language Generation in the Context of Machine Translation.  Center for Language and Speech Processing, Johns Hopkins University.
  • Eisner J (1996).  An Empirical Comparison of Probability Models for Dependency Grammar.  Institute for Research in Cognitive Science, Univ. of Pennsylvania.  (IRCS-96-11).
Conference Proceedings
  • He H, Hal Daumé III , Eisner J (2014).  Learning to Search in Branch-and-Bound Algorithms.  Advances in Neural Information Processing Systems 27.  3293-3301.
  • Hong J, Eisner J (2014).  Deriving Multi-Headed Projective Dependency Parses from Link Grammar Parses.  13th International Workshop on Treebanks and Linguistic Theories.
  • Cotterell R, Peng N, Eisner J (2014).  Stochastic Contextual Edit Distance and Probabilistic FSTs.  Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (ACL).  625-630.
  • Andrews N, Eisner J, Dredze M (2014).  Robust Entity Clustering via Phylogenetic Inference.  Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (ACL).  775-785.
  • He H, Hal Daumé III , Eisner J (2013).  Dynamic Feature Selection for Dependency Parsing.  Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP).  1455-1464.
  • Ferraro F, Eisner J (2013).  A Virtual Manipulative for Learning Log-Linear Models.  Proceedings of the Fourth Workshop on Teaching NLP and CL.  66-76.
  • Littell P, Levin L, Eisner J, Radev D (2013).  Introducing Computational Concepts in a Linguistics Olympiad.  Proceedings of the Fourth Workshop on Teaching NLP and CL.  18-26.
  • Gormley M, Eisner J (2013).  Nonconvex Global Optimization for Latent-Variable Models.  Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (ACL).
  • Jiang J, Moon T, Hal Daumé III , Eisner J (2013).  Prioritized Asynchronous Belief Propagation.  ICML Workshop on Inferning: Interactions between Inference and Learning.
  • Jiang J, Teichert A, Hal Daumé III , Eisner J (2012).  Learned Prioritization for Trading Off Accuracy and Speed.  Advances in Neural Information Processing Systems 25.  1331-1339.
  • He H, Hal Daumé III , Eisner J (2012).  Imitation Learning by Coaching.  Advances in Neural Information Processing Systems 25.  3149-3157.
  • Stoyanov V, Eisner J (2012).  Easy-first Coreference Resolution.  Proceedings of the 24th International Conference on Computational Linguistics (COLING).  2519-2534.
  • Filardo NW, Eisner J (2012).  A Flexible Solver for Finite Arithmetic Circuits.  Technical Communications of the 28th International Conference on Logic Programming, ICLP 2012.  17.  425-438.
  • Andrews N, Eisner J, Dredze M (2012).  Name Phylogeny: A Generative Model of String Variation.  Proceedings of the Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL).  344-355.
  • Smith J, Eisner J (2012).  Unsupervised Learning on an Approximate Corpus.  Proceedings of NAACL-HLT.  131-141.
  • Gormley MR, Dredze M, Van Durme B, Eisner J (2012).  Shared Components Topic Models.  Proceedings of NAACL-HLT.  783-792.
  • Paul M, Eisner J (2012).  Implicitly Intersecting Weighted Automata using Dual Decomposition.  Proceedings of NAACL-HLT.  232-242.
  • He H, Hal Daumé III , Eisner J (2012).  Cost-Sensitive Dynamic Feature Selection.  ICML Workshop on Inferning: Interactions between Inference and Learning.
  • Stoyanov V, Eisner J (2012).  Minimum-Risk Training of Approximate CRF-Based NLP Systems.  Proceedings of NAACL-HLT.  120-130.
  • Jiang J, Teichert A, Hal Daumé III , Eisner J (2012).  Learned Prioritization for Trading Off Accuracy and Speed.  ICML Workshop on Inferning: Interactions between Inference and Learning.
  • Stoyanov V, Eisner J (2012).  Fast and Accurate Prediction via Evidence-Specific MRF Structure.  ICML Workshop on Inferning: Interactions between Inference and Learning.
  • Gormley MR, Dredze M, Van Durme B, Eisner J (2011).  Shared Components Topic Models with Application to Selectional Preference.  NIPS Workshop on Learning Semantics.
  • Stoyanov V, Eisner J (2011).  Learning Cost-Aware, Loss-Aware Approximate Inference Policies for Probabilistic Graphical Models.  COST: NIPS Workshop on Computational Trade-offs in Statistical Learning.
  • Andrews N, Eisner J (2011).  Transformation Process Priors.  NIPS Workshop on Bayesian Nonparametrics: Hope or Hype?.
  • Eisner J, Hal Daumé III (2011).  Learning Speed-Accuracy Tradeoffs in Nondeterministic Inference Algorithms.  COST: NIPS Workshop on Computational Trade-offs in Statistical Learning.
  • Dreyer M, Eisner J (2011).  Discovering Morphological Paradigms from Plain Text Using a Dirichlet Process Mixture Model.  Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP).  616-627.
  • Li Z, Eisner J, Wang Z, Khudanpur S, Roark B (2011).  Minimum Imputed Risk: Unsupervised Discriminative Training for Machine Translation.  Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP).  920-929.
  • Stoyanov V, Ropson A, Eisner J (2011).  Empirical Risk Minimization of Graphical Model Parameters Given Approximate Inference, Decoding, and Model Structure.  Proceedings of the 14th International Conference on Artificial Intelligence and Statistics (AISTATS).  15.  725-733.
  • Li Z, Wang Z, Khudanpur S, Eisner J (2010).  Unsupervised Discriminative Language Model Training for Machine Translation using Simulated Confusion Sets.  Proceedings of the 23rd International Conference on Computational Linguistics (COLING).  656-664.
  • Li Z, Eisner J, Khudanpur S (2009).  Variational Decoding for Statistical Machine Translation.  Proceedings of the 47th Annual Meeting of the Association for Computational Linguistics (ACL).  593-601.
  • Tromble R, Eisner J (2009).  Learning Linear Ordering Problems for Better Translation.  Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP).  1007-1016.
  • Li Z, Eisner J (2009).  First- and Second-Order Expectation Semirings with Applications to Minimum-Risk Training on Translation Forests.  Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP).  40-51.
  • Dreyer M, Eisner J (2009).  Graphical Models over Multiple Strings.  Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP).  101-110.
  • Smith DA, Eisner J (2009).  Parser Adaptation and Projection with Quasi-Synchronous Grammar Features.  Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP).  822-831.
  • Mayfield J, Alexander D, Dorr B, Eisner J, Elsayed T, Finin T, Fink C, Freedman M, Garera N, McNamee P, Mohammad S, Oard D, Piatko C, Sayeed A, Syed Z, Weischedel R, Xu T, Yarowsky D (2009).  Cross-Document Coreference Resolution: A Key Technology for Learning by Reading.  Proceedings of the AAAI 2009 Spring Symposium on Learning by Reading and Learning to Read.
  • Zaidan OF, Eisner J, Piatko C (2008).  Machine Learning with Annotator Rationales to Reduce Annotation Cost.  Proceedings of the NIPS*2008 Workshop on Cost Sensitive Learning.
  • Dreyer M, Smith JR, Eisner J (2008).  Latent-Variable Modeling of String Transductions with Finite-State Methods.  Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP).  1080-1089.
  • Smith DA, Eisner J (2008).  Dependency Parsing by Belief Propagation.  Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP).  145-156.
  • Zaidan OF, Eisner J (2008).  Modeling Annotators: A Generative Approach to Learning from Annotator Rationales.  Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP).  31-40.
  • Karakos D, Eisner J, Khudanpur S, Dreyer M (2008).  Machine Translation System Combination using ITG-based Alignments.  Proceedings of ACL-08: HLT, Short Papers.  81-84.
  • Eisner J, Smith NA (2008).  Competitive Grammar Writing.  Proceedings of the Third Workshop on Issues in Teaching Computational Linguistics.  97-105.
  • Smith DA, Eisner J (2007).  Bootstrapping Feature-Rich Dependency Parsers with Entropic Priors.  Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL).  667-677.
  • Karakos D, Khudanpur S, Eisner J, Priebe C (2007).  Iterative Denoising Using Jensen-Renyí Divergences with an Application to Unsupervised Document Categorization.  Proceedings of the International Conference on Acoustics, Speech and Signal Processing (ICASSP).
  • Karakos D, Eisner J, Khudanpur S, Priebe C (2007).  Cross-Instance Tuning of Unsupervised Document Clustering Algorithms.  Human Language Technologies: Proceedings of the Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL-HLT).  252-259.
  • Zaidan O, Eisner J, Piatko C (2007).  Using "Annotator Rationales" to Improve Machine Learning for Text Categorization.  Human Language Technologies: Proceedings of the Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL-HLT).  260-267.
  • Eisner J, Blatz J (2007).  Program Transformations for Optimization of Parsing Algorithms and Other Weighted Logic Programs.  Proceedings of FG 2006: The 11th Conference on Formal Grammar.  CSLI Publications.  45-85.
  • Mason J, Watkins K, Eisner J, Stubblefield A (2006).  A Natural-Language Approach to Automated Cryptanalysis of Two-Time Pads.  Proceedings of the ACM Conference on Computer and Communications Security (ACM CCS).  235-244.
  • Eisner J, Kornbluh M, Woodhull G, Buse R, Huang S, Michael C, Shafer G (2006).  Visual Navigation Through Large Directed Graphs and Hypergraphs.  Proceedings of the IEEE Symposium on Information Visualization (InfoVis'06), Poster/Demo Session.  116-117.
  • Smith NA, Eisner J (2006).  Annealing Structural Bias in Multilingual Weighted Grammar Induction.  Proceedings of the International Conference on Computational Linguistics and the Association for Computational Linguistics (COLING-ACL).  569-576.
  • Dreyer M, Eisner J (2006).  Better Informed Training of Latent Syntactic Features.  Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP).  317-326.
  • Smith DA, Eisner J (2006).  Minimum-Risk Annealing for Training Log-Linear Models.  Proceedings of the International Conference on Computational Linguistics and the Association for Computational Linguistics (COLING-ACL), Companion Volume.  787-794.
  • Smith DA, Eisner J (2006).  Quasi-Synchronous Grammars: Alignment by Soft Projection of Syntactic Dependencies.  Proceedings of the HLT-NAACL Workshop on Statistical Machine Translation.  23-30.
  • Tromble RW, Eisner J (2006).  A Fast Finite-State Relaxation Method for Enforcing Global Constraints on Sequence Decoding.  Proceedings of the Human Language Technology Conference of the North American Association for Computational Linguistics (HLT-NAACL).  423-430.
  • Eisner J, Tromble RW (2006).  Local Search with Very Large-Scale Neighborhoods for Optimal Permutations in Machine Translation.  Proceedings of the HLT-NAACL Workshop on Computationally Hard Problems and Joint Inference in Speech and Language Processing.  57-75.
  • Eisner J, Karakos D (2005).  Bootstrapping Without the Boot.  Proceedings of Human Language Technology Conference and Conference on Empirical Methods in Natural Language Processing (HLT-EMNLP).  395-402.
  • Eisner J, Goldlust E, Smith NA (2005).  Compiling Comp Ling: Weighted Dynamic Programming and the Dyna Language.  Proceedings of Human Language Technology Conference and Conference on Empirical Methods in Natural Language Processing (HLT-EMNLP).  281-290.
  • Eisner J, Smith NA (2005).  Parsing with Soft and Hard Constraints on Dependency Length.  Proceedings of the International Workshop on Parsing Technologies (IWPT).  30-41.
  • Smith NA, Eisner J (2005).  Guiding Unsupervised Grammar Induction Using Contrastive Estimation.  International Joint Conference on Artificial Intelligence (IJCAI) Workshop on Grammatical Inference Applications.  73-82.
  • Smith NA, Eisner J (2005).  Contrastive Estimation: Training Log-Linear Models on Unlabeled Data.  Proceedings of the 43rd Annual Meeting of the Association for Computational Linguistics (ACL).  354-362.
  • Kempe A, Champarnaud J, Eisner J, Guingne F, Nicart F (2005).  A Class of Rational $n$-WFSM Auto-Intersections.  Proceedings of the Tenth International Conference on Implementation and Application of Automata (CIAA-2005).  Springer-Verlag.  (3845).  189-200.
  • Karakos D, Khudanpur S, Eisner J, Priebe C (2005).  Unsupervised Classification via Decision Trees: An Information-Theoretic Perspective.  Proceedings of the 2005 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).  5.  1081-1084.
  • Kempe A, Champarnaud J, Eisner J (2004).  A Note on Join and Auto-Intersection of $n$-ary Rational Relations.  Proceedings of the Eindhoven FASTAR Days (Computer Science Technical Report 04-40).  64-78.
  • Smith NA, Eisner J (2004).  Annealing Techniques for Unsupervised Statistical Language Learning.  Proceedings of the 42nd Annual Meeting of the Association for Computational Linguistics (ACL).  486-493.
  • Eisner J, Goldlust E, Smith NA (2004).  Dyna: A Declarative Language for Implementing Dynamic Programs.  Proceedings of the 42nd Annual Meeting of the Association for Computational Linguistics (ACL), Companion Volume.  218-221.
  • Eisner J (2003).  Learning Non-Isomorphic Tree Mappings for Machine Translation.  Proceedings of the 41st Annual Meeting of the Association for Computational Linguistics (ACL), Companion Volume.  205-208.
  • Eisner J (2003).  Simpler and More General Minimization for Weighted Finite-State Automata.  Proceedings of the Joint Meeting of the Human Language Technology Conference and the North American Chapter of the Association for Computational Linguistics (HLT-NAACL).  64-71.
  • Eisner J (2002).  Transformational Priors Over Grammars.  Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP).  63-70.
  • Eisner J (2002).  Comprehension and Compilation in Optimality Theory.  Proceedings of the 40th Annual Meeting of the Association for Computational Linguistics (ACL).  56-63.
  • Eisner J (2002).  An Interactive Spreadsheet for Teaching the Forward-Backward Algorithm.  Proceedings of the ACL Workshop on Effective Tools and Methodologies for Teaching NLP and CL.  10-18.
  • Eisner J (2002).  Parameter Estimation for Probabilistic Finite-State Transducers.  Proceedings of the 40th Annual Meeting of the Association for Computational Linguistics (ACL).  1-8.
  • Eisner J (2001).  Expectation Semirings: Flexible EM for Finite-State Transducers.  Proceedings of the ESSLLI Workshop on Finite-State Methods in Natural Language Processing (FSMNLP).
  • Eisner J (2000).  Easy and Hard Constraint Ranking in Optimality Theory: Algorithms and Complexity.  Finite-State Phonology: Proceedings of the 5th Workshop of the ACL Special Interest Group in Computational Phonology (SIGPHON).  22-33.
  • Eisner J (2000).  Directional Constraint Evaluation in Optimality Theory.  Proceedings of the 18th International Conference on Computational Linguistics (COLING 2000).  257-263.
  • Eisner J, Satta G (2000).  A Faster Parsing Algorithm for Lexicalized Tree-Adjoining Grammars.  Proceedings of the 5th Workshop on Tree-Adjoining Grammars and Related Formalisms (TAG+5).  14-19.
  • Eisner J, Satta G (1999).  Efficient Parsing for Bilexical Context-Free Grammars and Head-Automaton Grammars.  Proceedings of the 37th Annual Meeting of the Association for Computational Linguistics (ACL).  457-464.
  • Eisner J (1998).  FootForm Decomposed: Using Primitive Constraints in OT.  Proceedings of SCIL VIII.  (31).  115-143.
  • Eisner J (1997).  Bilexical Grammars and a Cubic-Time Probabilistic Parser.  Proceedings of the 5th International Workshop on Parsing Technologies (IWPT).  54-65.
  • Eisner J (1997).  Efficient Generation in Primitive Optimality Theory.  Proceedings of the 35th Annual Meeting of the Association for Computational Linguistics (ACL).  313-320.
  • Eisner J (1996).  Three New Probabilistic Models for Dependency Parsing: An Exploration.  Proceedings of the 16th International Conference on Computational Linguistics (COLING-96).  340-345.
  • Eisner J (1996).  Efficient Normal-Form Parsing for Combinatory Categorial Grammar.  Proceedings of the 34th Annual Meeting of the Association for Computational Linguistics (ACL).  79-86.
  • Baldwin B, Collins M, Eisner J, Ratnaparkhi A, Reynar J, Rosenzweig J, Sarkar A, Srinivas (1995).  Description of the University of Pennsylvania Entry in the MUC-6 Competition.  Proceedings of the Sixth Message Understanding Conference.  177-191.
  • Eisner J (1995).  $$-less in Wonderland? Revisiting any.  Proceedings of ESCOL 11 (October 1994).  DMLL Publications.  92-103.
  • Eisner J, Jones MA (1992).  A Probabilistic Parser Applied to Software Testing Documents.  Proceedings of National Conference on Artificial Intelligence (AAAI-92).  322-328.
  • Eisner J, Jones MA (1992).  A Probabilistic Parser and Its Application.  Statistically-Based Natural Language Processing Techniques: Papers from the 1992 Workshop.  Menlo Park: AAAI Press.  20-27.
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