Kuzman Ganchev
Kuzman Ganchev
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Globally normalized transition-based neural networks
D Andor, C Alberti, D Weiss, A Severyn, A Presta, K Ganchev, S Petrov, ...
arXiv preprint arXiv:1603.06042, 2016
Universal dependency annotation for multilingual parsing
R McDonald, J Nivre, Y Quirmbach-Brundage, Y Goldberg, D Das, ...
Proceedings of the 51st Annual Meeting of the Association for Computationalá…, 2013
Posterior regularization for structured latent variable models
K Ganchev, J Graša, J Gillenwater, B Taskar
The Journal of Machine Learning Research 11, 2001-2049, 2010
Overview of BioCreative II gene mention recognition
L Smith, LK Tanabe, CJ Kuo, I Chung, CN Hsu, YS Lin, R Klinger, ...
Genome biology 9 (2), 1-19, 2008
Expectation maximization and posterior constraints
K Ganchev, B Taskar, J Gama
Advances in neural information processing systems 20, 2007
Semantic role labeling with neural network factors
N FitzGerald, O Tńckstr÷m, K Ganchev, D Das
Proceedings of the 2015 Conference on Empirical Methods in Natural Languageá…, 2015
Dependency grammar induction via bitext projection constraints
K Ganchev, J Gillenwater, B Taskar
Proceedings of the Joint Conference of the 47th Annual Meeting of the ACLá…, 2009
Automatic code assignment to medical text
K Crammer, M Dredze, K Ganchev, P Talukdar, S Carroll
Biological, translational, and clinical language processing, 129-136, 2007
Semantic frame identification with distributed word representations
KM Hermann, D Das, J Weston, K Ganchev
Proceedings of the 52nd Annual Meeting of the Association for Computationalá…, 2014
Context-dependent fine-grained entity type tagging
D Gillick, N Lazic, K Ganchev, J Kirchner, D Huynh
arXiv preprint arXiv:1412.1820, 2014
Nswap: A network swapping module for linux clusters
T Newhall, S Finney, K Ganchev, M Spiegel
European Conference on Parallel Processing, 1160-1169, 2003
Efficient inference and structured learning for semantic role labeling
O Tńckstr÷m, K Ganchev, D Das
Transactions of the Association for Computational Linguistics 3, 29-41, 2015
Small statistical models by random feature mixing
K Ganchev, M Dredze
Proceedings of the ACL-08: HLT Workshop on Mobile Language Processing, 19-20, 2008
Posterior vs. parameter sparsity in latent variable models
J Graša, K Ganchev, B Taskar, F Pereira
NIPS’09, 2009
State-of-the-art Chinese word segmentation with Bi-LSTMs
J Ma, K Ganchev, D Weiss
arXiv preprint arXiv:1808.06511, 2018
Censored exploration and the dark pool problem
K Ganchev, Y Nevmyvaka, M Kearns, JW Vaughan
Communications of the ACM 53 (5), 99-107, 2010
Better alignments= better translations?
K Ganchev, JV Graša, B Taskar
Frustratingly hard domain adaptation for dependency parsing
M Dredze, J Blitzer, PP Talukdar, K Ganchev, JV Graša, F Pereira
Multi-view learning over structured and non-identical outputs
K Ganchev, J Graca, J Blitzer, B Taskar
arXiv preprint arXiv:1206.3256, 2012
Sparsity in dependency grammar induction
J Gillenwater, K Ganchev, JV Graša, F Pereira, B Taskar
Il sistema al momento non pu˛ eseguire l'operazione. Riprova pi¨ tardi.
Articoli 1–20