| 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 | 428 | 2016 |
| Posterior regularization for structured latent variable models K Ganchev, J Gillenwater, B Taskar Journal of Machine Learning Research 11 (Jul), 2001-2049, 2010 | 391 | 2010 |
| 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 | 369 | 2013 |
| 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), S2, 2008 | 304 | 2008 |
| scalable SQL M Rys Queue 9 (4), 30-37, 2011 | 166* | 2011 |
| Expectation maximization and posterior constraints K Ganchev, B Taskar, J Gama Advances in neural information processing systems, 569-576, 2008 | 158 | 2008 |
| 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 ACL …, 2009 | 122 | 2009 |
| Unifying logic and probability S Russell Communications of the ACM 58 (7), 88-97, 2015 | 106* | 2015 |
| 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 | 97 | 2007 |
| Semantic frame identification with distributed word representations KM Hermann, D Das, J Weston, K Ganchev | 95 | 2014 |
| 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 | 83 | 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 | 78 | 2008 |
| Nswap: A network swapping module for linux clusters T Newhall, S Finney, K Ganchev, M Spiegel European Conference on Parallel Processing, 1160-1169, 2003 | 75 | 2003 |
| Posterior vs. parameter sparsity in latent variable models J Graça, K Ganchev, B Taskar, F Pereira NIPS’09, 2009 | 71* | 2009 |
| Better alignments= better translations? K Ganchev, JV Graça, B Taskar | 68 | 2008 |
| Censored exploration and the dark pool problem K Ganchev, Y Nevmyvaka, M Kearns, JW Vaughan Communications of the ACM 53 (5), 99-107, 2010 | 63 | 2010 |
| Multi-view learning over structured and non-identical outputs K Ganchev, J Graca, J Blitzer, B Taskar arXiv preprint arXiv:1206.3256, 2012 | 61 | 2012 |
| 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 | 61 | 2007 |
| 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 | 55 | 2015 |
| Context-dependent fine-grained entity type tagging D Gillick, N Lazic, K Ganchev, J Kirchner, D Huynh arXiv preprint arXiv:1412.1820, 2014 | 51 | 2014 |
Ben TaskarUniversity of WashingtonDirección de correo verificada de cs.washington.edu
