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First name:	Kuzman
Last name:	Ganchev
DBLP:	43/5339
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	Conference paper Kuzman Ganchev, Keith Hall, Ryan T. McDonald, Slav Petrov. Using Search-Logs to Improve Query Tagging.	The 50th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference, July 8-14, 2012, Jeju Island, Korea - Volume 2: Short Papers 2012	(0)	2012
	Conference paper Kuzman Ganchev, João Graça, John Blitzer, Benjamin Taskar. Multi-View Learning over Structured and Non-Identical Outputs	CoRR 2012, Volume 0	(0)	2012
	Conference paper Kuzman Ganchev, Michael Kearns, Yuriy Nevmyvaka, Jennifer Wortman Vaughan. Censored Exploration and the Dark Pool Problem	CoRR 2012, Volume 0	(0)	2012
	Journal article Jennifer Gillenwater, Kuzman Ganchev, João Graça, Fernando Pereira, Benjamin Taskar. Posterior Sparsity in Unsupervised Dependency Parsing.	Journal of Machine Learning Research 2011, Volume 12	(0)	2011
	Conference paper Gregory Druck, Kuzman Ganchev, João Graça. Rich Prior Knowledge in Learning for Natural Language Processing.	The 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference, 19-24 June, 2011, Portland, Oregon, USA - Tutorial Abstracts 2011	(0)	2011
	Conference paper João Graça, Kuzman Ganchev, Luísa Coheur, Fernando Pereira, Benjamin Taskar. Controlling Complexity in Part-of-Speech Induction.	J. Artif. Intell. Res. (JAIR) 2011, Volume 41	(0)	2011
	Conference paper João Graça, Kuzman Ganchev, Luísa Coheur, Fernando Pereira, Benjamin Taskar. Controlling Complexity in Part-of-Speech Induction.	J. Artif. Intell. Res. (JAIR) 2011, Volume 41	(0)	2011
	Conference paper João Graça, Kuzman Ganchev, Benjamin Taskar. Learning Tractable Word Alignment Models with Complex Constraints.	Computational Linguistics 2010, Volume 36	(0)	2010
	Conference paper Jennifer Gillenwater, Kuzman Ganchev, João Graça, Fernando Pereira, Benjamin Taskar. Sparsity in Dependency Grammar Induction.	ACL 2010, Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics, July 11-16, 2010, Uppsala, Sweden, Short Papers 2010	(0)	2010
	Conference paper Kuzman Ganchev, João Graça, Jennifer Gillenwater, Benjamin Taskar. Posterior Regularization for Structured Latent Variable Models.	Journal of Machine Learning Research 2010, Volume 11	(0)	2010
	Conference paper Kuzman Ganchev, Yuriy Nevmyvaka, Michael Kearns, Jennifer Wortman Vaughan. Censored exploration and the dark pool problem.	Commun. CACM 2010, Volume 53	(0)	2010
	Conference paper Kuzman Ganchev, Jennifer Gillenwater, Benjamin Taskar. Dependency Grammar Induction via Bitext Projection Constraints.	ACL 2009, Proceedings of the 47th Annual Meeting of the Association for Computational Linguistics and the 4th International Joint Conference on Natural Language Processing of the AFNLP, 2-7 August 2009, Singapore 2009	(0)	2009
	Conference paper João Graça, Kuzman Ganchev, Benjamin Taskar, Fernando C. N. Pereira. Posterior vs Parameter Sparsity in Latent Variable Models.	Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, Vancouver, British Columbia, Canada. 2009	(0)	2009
	Conference paper Kuzman Ganchev, Michael Kearns, Yuriy Nevmyvaka, Jennifer Wortman Vaughan. Censored Exploration and the Dark Pool Problem.	UAI 2009, Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial Intelligence, Montreal, QC, Canada, June 18-21, 2009 2009	(0)	2009
	Journal article João Graça, Kuzman Ganchev, Benjamin Taskar. PostCAT - Posterior Constrained Alignment Toolkit.	Prague Bull. Math. Linguistics 2009, Volume 91	(0)	2009
	Conference paper Kuzman Ganchev, João Graça, Benjamin Taskar. Better Alignments = Better Translations?	ACL 2008, Proceedings of the 46th Annual Meeting of the Association for Computational Linguistics, June 15-20, 2008, Columbus, Ohio, USA 2008	(0)	2008
	Conference paper Kuzman Ganchev, João Graça, John Blitzer, Benjamin Taskar. Multi-View Learning over Structured and Non-Identical Outputs.	UAI 2008, Proceedings of the 24th Conference in Uncertainty in Artificial Intelligence, Helsinki, Finland, July 9-12, 2008 2008	(0)	2008
	Conference paper Kuzman Ganchev, João Graça, John Blitzer, Benjamin Taskar. Multi-View Learning over Structured and Non-Identical Outputs.	UAI 2008, Proceedings of the 24th Conference in Uncertainty in Artificial Intelligence, Helsinki, Finland, July 9-12, 2008 2008	(0)	2008
	Conference paper Mark Dredze, John Blitzer, Partha Pratim Talukdar, Kuzman Ganchev, João Graça, Fernando Pereira. Frustratingly Hard Domain Adaptation for Dependency Parsing.	EMNLP-CoNLL 2007, Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, June 28-30, 2007, Prague, Czech Republic 2007	(0)	2007
	Conference paper João Graça, Kuzman Ganchev, Benjamin Taskar. Expectation Maximization and Posterior Constraints.	Advances in Neural Information Processing Systems 20, Proceedings of the Twenty-First Annual Conference on Neural Information Processing Systems, Vancouver, British Columbia, Canada, December 3-6, 2007 2008	(0)	2007
	Conference paper Kuzman Ganchev, Alex Kulesza, Jinsong Tan, Ryan Gabbard, Qian Liu, Michael Kearns. Empirical Price Modeling for Sponsored Search.	Internet and Network Economics, Third International Workshop, WINE 2007, San Diego, CA, USA, December 12-14, 2007, Proceedings 2007	(0)	2007
	Conference paper Tia Newhall, Sean Finney, Kuzman Ganchev, Michael Spiegel. Nswap: A Network Swapping Module for Linux Clusters.	Euro-Par 2003. Parallel Processing, 9th International Euro-Par Conference, Klagenfurt, Austria, August 26-29, 2003. Proceedings 2003	(0)	2003

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