Kuzman Ganchev

I was born in Sofia, Bulgaria where I lived until February 1989. My family moved to Zimbabwe and then in 1995 to New Zealand where I went to high school. I came to the US in 1999 to study at Swarthmore College. I spent the 2001-2002 academic year studying abroad in Paris. After graduating with a Bachelor of Arts in Computer Science in 2003 I worked at StreamSage Inc. in Washington DC until starting at the University of Pennsylvania in Fall 2004. During the summer of 2007 I was an intern at TrialPay in Mountain View, CA and during the summer of 2008 I was an intern at Bank of America in New York. I graduated from UPenn in 2010 and have since been working at Google Inc. in New York.

Google Publications

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, João 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)