Kuzman Ganchev
Kuzman Ganchev
Google Inc
Vahvistettu sähköpostiosoite verkkotunnuksessa google.com
Nimike
Viittaukset
Viittaukset
Vuosi
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
6102016
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 Computational …, 2013
5472013
Posterior regularization for structured latent variable models
K Ganchev, J Graça, J Gillenwater, B Taskar
The Journal of Machine Learning Research 11, 2001-2049, 2010
5272010
Overview of BioCreative II gene mention recognition
L Smith, LK Tanabe, RJ nee Ando, CJ Kuo, IF Chung, CN Hsu, YS Lin, ...
Genome biology 9 (2), 1-19, 2008
3732008
Expectation maximization and posterior constraints
JV Graça, K Ganchev, B Taskar
1862007
Dependency grammar induction via bitext projection constraints
K Ganchev, J Gillenwater, B Taskar
Lab Papers (GRASP), 43, 2009
1472009
Semantic role labeling with neural network factors
N FitzGerald, O Täckström, K Ganchev, D Das
Proceedings of the 2015 Conference on Empirical Methods in Natural Language …, 2015
1392015
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
1292007
Semantic frame identification with distributed word representations
KM Hermann, D Das, J Weston, K Ganchev
1222014
Context-dependent fine-grained entity type tagging
D Gillick, N Lazic, K Ganchev, J Kirchner, D Huynh
arXiv preprint arXiv:1412.1820, 2014
1012014
Nswap: A network swapping module for linux clusters
T Newhall, S Finney, K Ganchev, M Spiegel
European Conference on Parallel Processing, 1160-1169, 2003
952003
Efficient inference and structured learning for semantic role labeling
O Täckström, K Ganchev, D Das
Transactions of the Association for Computational Linguistics 3, 29-41, 2015
892015
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
842008
Posterior vs. parameter sparsity in latent variable models
J Graça, K Ganchev, B Taskar, F Pereira
NIPS’09, 2009
832009
Censored exploration and the dark pool problem
K Ganchev, Y Nevmyvaka, M Kearns, JW Vaughan
Communications of the ACM 53 (5), 99-107, 2010
752010
Better alignments= better translations?
K Ganchev, JV Graça, B Taskar
752008
Frustratingly hard domain adaptation for dependency parsing
M Dredze, J Blitzer, P Talukdar, K Ganchev, J Graca, F Pereira
Proceedings of the 2007 Joint Conference on Empirical Methods in Natural …, 2007
702007
State-of-the-art Chinese word segmentation with Bi-LSTMs
J Ma, K Ganchev, D Weiss
arXiv preprint arXiv:1808.06511, 2018
672018
Multi-view learning over structured and non-identical outputs
K Ganchev, J Graca, J Blitzer, B Taskar
arXiv preprint arXiv:1206.3256, 2012
672012
Sparsity in dependency grammar induction
J Gillenwater, K Ganchev, JV Graça, F Pereira, B Taskar
522010
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Artikkelit 1–20