Kuzman Ganchev
Google Publications
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Globally Normalized Transition-Based Neural Networks
Daniel Andor, Chris Alberti, David Weiss, Aliaksei Severyn, Alessandro Presta, Kuzman Ganchev, Slav Petrov, Michael Collins
Association for Computational Linguistics (2016)
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Efficient Inference and Structured Learning for Semantic Role Labeling
Oscar Täckström, Kuzman Ganchev, Dipanjan Das
Transactions of the Association for Computational Linguistics, vol. 3 (2015), pp. 29-41
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Semantic Role Labeling with Neural Network Factors
Nicholas FitzGerald, Oscar Täckström, Kuzman Ganchev, Dipanjan Das
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing (EMNLP '15), Association for Computational Linguistics
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Context-Dependent Fine-Grained Entity Type Tagging
Dan Gillick, Nevena Lazic, Kuzman Ganchev, Jesse Kirchner, David Huynh
arXiv.org (2014)
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Semantic Frame Identification with Distributed Word Representations
Karl Moritz Hermann, Dipanjan Das, Jason Weston, Kuzman Ganchev
Proceedings of the 52th Annual Meeting of the Association for Computational Linguistics (2014)
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Cross-Lingual Discriminative Learning of Sequence Models with Posterior Regularization
Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing
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Universal Dependency Annotation for Multilingual Parsing
Ryan McDonald, Joakim Nivre, Yoav Goldberg, Yvonne Quirmbach-Brundage, Dipanjan Das, Kuzman Ganchev, Keith Hall, Slav Petrov, Hao Zhang, Oscar Tackstrom, Claudia Bedini, Nuria Bertomeu Castello, Jungmee Lee
Association for Computational Linguistics, Association for Computational Linguistics (2013)
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Using Search-Logs to Improve Query Tagging
Kuzman Ganchev, Keith B. Hall, Ryan McDonald, Slav Petrov
Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics, Volume 2: Short Papers (ACL '12) (2012)
Previous Publications
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Controlling Complexity in Part-of-Speech Induction
Joao Graca, Kuzman Ganchev, Luisa Coheur, Fernando Pereira, Ben Taskar
Journal of Artificial Intelligence Research (JAIR), vol. 41 (2011), pp. 527-551
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Posterior Sparsity in Dependency Grammar Induction
Jennifer Gillenwater, Kuzman Ganchev, Joao Graca, Fernando Pereira, Ben Taskar
Journal of Machine Learning Research, vol. 12 (2011), pp. 455-490
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Learning Tractable Word Alignment Models with Complex Constraints
Joao Graca, Kuzman Ganchev, Ben Taskar
Computational Linguistics, vol. 36 (2010), pp. 481-504
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Posterior Regularization for Structured Latent Variable Models
Kuzman Ganchev, Joao Graca, Jennifer Gillenwater, Ben Taskar
Journal of Machine Learning Research, vol. 11 (2010), pp. 2001-2049
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Sparsity in Dependency Grammar Induction
Jennifer Gillenwater, Kuzman Ganchev, João Graça, Fernando Pereira, Ben Taskar
48th Annual Meeting of the Association for Computational Linguistics (ACL 2010)
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Dependency Grammar Induction via Bitext Projection Constraints
Kuzman Ganchev, Jennifer Gillenwater, Ben Taskar
47th Annual Meeting of the Association for Computational Linguistics (ACL), Association for Computational Linguistics (2009), pp. 369-377
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Posterior vs. Parameter Sparsity in Latent Variable Models
Joao Graca, Kuzman Ganchev, Ben Taskar, Fernando Pereira
Advances in Neural Information Processing Systems 22 (2009), pp. 664-672
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Better Alignments = Better Translations?
Kuzman Ganchev, João Graça, Ben Taskar
Proceedings of ACL-08: HLT, Association for Computational Linguistics, Columbus, Ohio (2008), pp. 986-993
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Expectation Maximization and Posterior Constraints
Joao Graca, Kuzman Ganchev, Ben Taskar
Advances in Neural Information Processing Systems 20, MIT Press, Cambridge, MA (2008), pp. 569-576
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Multi-View Learning over Structured and Non-Identical Outputs
Kuzman Ganchev, Joao Graca, John Blitzer, Ben Taskar
Proceedings of the Twenty-Fourth Conference on Uncertainty in Artificial Intelligence (UAI), AUAI Press (2008), pp. 204-211
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Small Statistical Models by Random Feature Mixing
Kuzman Ganchev, Mark Dredze
Proceedings of the ACL-2008 Workshop on Mobile Language Processing, Association for Computational Linguistics, pp. 19-20
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Automatic Code Assignment to Medical Text
Koby Crammer, Mark Dredze, Kuzman Ganchev, Partha Pratim Talukdar, Steven Carroll
Biological, translational, and clinical language processing, Association for Computational Linguistics (2007), pp. 129-136
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Empirical Price Modeling for Sponsored Search.
Kuzman Ganchev, Ryan Gabbard, Alex Kulesza, Qian Liu, Jinsong Tan, Michael Kearns
Third International Workshop on Internet and Network Economics (WINE), Springer (2007), pp. 541-548
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Frustratingly Hard Domain Adaptation for Dependency Parsing
Mark Dredze, John Blitzer, Partha Pratim Talukdar, Kuzman Ganchev, Jo~{a}o V. Graça, Fernando Pereira
Proceedings of the CoNLL Shared Task Session of EMNLP-CoNLL 2007, pp. 1051-1055
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Penn/UMass/CHOP Biocreative II systems
Kuzman Ganchev, Koby Crammer, Fernando Pereira, Gideon Mann, Kedar Bellare, Andrew McCallum, Steven Carroll, Yang Jin, Peter White
Proceedings of the Second BioCreative Challenge Evaluation Workshop (2007), pp. 119-124
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Semi-Automated Named Entity Annotation
Kuzman Ganchev, Fernando Pereira, Mark Mandel, Steven Carroll, Peter White
Proceedings of the Linguistic Annotation Workshop, Association for Computational Linguistics (2007), pp. 53-56
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Transductive structured classification through constrained min-cuts
Kuzman Ganchev, Fernando Pereira
Proceedings of the Second Workshop on TextGraphs: Graph-Based Algorithms for Natural Language Processing, Association for Computational Linguistics (2007), pp. 37-44
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Nswap: a network swapping module for Linux clusters.
Tia Newhall, Sean Finney, Kuzman Ganchev, Michael Spiegel
Proceedings of the 13th International Conference on Parallel and Distributed Computing (Euro-Par'03), Springer (2003)














