Ryan McDonald - Google Scholar Citations

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Fernando PereiraVP and Engineering Fellow, GoogleVerified email at google.com
Joakim NivreProfessor of Computational Linguistics, Uppsala UniversityVerified email at lingfil.uu.se
Slav PetrovPrincipal Scientist / Research Director at GoogleVerified email at petrovi.de
Tyler NeylonUnbox ResearchVerified email at unboxresearch.com
Oscar TäckströmDirector of Research, Sana LabsVerified email at sanalabs.com
Keith HallGoogle ResearchVerified email at google.com
Koby CrammerProfessor of Electrical Engineering, Technion - Israel Institute of TechnologyVerified email at ee.technion.ac.il
Dipanjan DasSenior Staff Research Scientist, Google AIVerified email at google.com
Kübler, SandraIndiana UniversityVerified email at indiana.edu
Yoav GoldbergProfessor, Bar Ilan UniversityVerified email at cs.biu.ac.il
Jan HajicProfessor of Computational Linguistics, Charles University, Prague, Czech RepublicVerified email at ufal.mff.cuni.cz
Ivan TitovUniversity of Edinburgh / University of AmsterdamVerified email at inf.ed.ac.uk
Hao ZhangGoogleVerified email at cs.rochester.edu
John BlitzerGoogle ResearchVerified email at google.com
George A. ReisSoftware Engineer, Google.comVerified email at google.com
Gideon MannBloomberg LPVerified email at bloomberg.net
Peter WhiteChair and Riveschl Professor, Department of Biomedical Informatics, University of Cincinnati and Cincinnati Children's Hospital Medical CenterVerified email at cchmc.org
Mark LibermanProfessor, University of PennsylvaniaVerified email at cis.upenn.edu
Kuzman GanchevGoogle IncVerified email at google.com
Seth KulickUniversity of PennsylvaniaVerified email at ldc.upenn.edu

Ryan McDonald

Research Scientist, Google

Verified email at google.com - Homepage

Natural Language Processing Machine Learning


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Domain adaptation with structural correspondence learning J Blitzer, R McDonald, F Pereira Proceedings of the 2006 conference on empirical methods in natural language …, 2006	1362	2006
Non-projective dependency parsing using spanning tree algorithms R McDonald, F Pereira, K Ribarov, J Hajič Proceedings of the conference on Human Language Technology and Empirical …, 2005	955	2005
Online large-margin training of dependency parsers R McDonald, K Crammer, F Pereira Proceedings of the 43rd Annual Meeting of the Association for Computational …, 2005	854	2005
Modeling online reviews with multi-grain topic models I Titov, R McDonald Proceedings of the 17th international conference on World Wide Web, 111-120, 2008	815	2008
A universal part-of-speech tagset S Petrov, D Das, R McDonald arXiv preprint arXiv:1104.2086, 2011	765	2011
The CoNLL 2007 shared task on dependency parsing J Nivre, J Hall, S Kübler, R McDonald, J Nilsson, S Riedel, D Yuret Proceedings of the CoNLL Shared Task Session of EMNLP-CoNLL, 915-932, 2007	724	2007
A joint model of text and aspect ratings for sentiment summarization I Titov, R McDonald proceedings of ACL-08: HLT, 308-316, 2008	687	2008
Universal dependencies v1: A multilingual treebank collection J Nivre, MC De Marneffe, F Ginter, Y Goldberg, J Hajic, CD Manning, ... Proceedings of the Tenth International Conference on Language Resources and …, 2016	573	2016
Online learning of approximate dependency parsing algorithms R McDonald, F Pereira Proceedings of EACL 6, 81-88, 2006	523	2006
Dependency parsing S Kübler, R McDonald, J Nivre Synthesis lectures on human language technologies 1 (1), 1-127, 2009	507	2009
Building a sentiment summarizer for local service reviews S Blair-Goldensohn, K Hannan, R McDonald, T Neylon, G Reis, J Reynar	453	2008
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	375	2013
Structured models for fine-to-coarse sentiment analysis R McDonald, K Hannan, T Neylon, M Wells, J Reynar Proceedings of the 45th annual meeting of the association of computational …, 2007	369	2007
A study of global inference algorithms in multi-document summarization R McDonald European Conference on Information Retrieval, 557-564, 2007	333	2007
Characterizing the errors of data-driven dependency parsers R McDonald, J Nivre	323	2007
Multilingual dependency analysis with a two-stage discriminative parser R McDonald, K Lerman, F Pereira Proceedings of the Tenth Conference on Computational Natural Language …, 2006	297	2006
Integrating graph-based and transition-based dependency parsers J Nivre, R McDonald Proceedings of ACL-08: HLT, 950-958, 2008	272	2008
Distributed training strategies for the structured perceptron R McDonald, K Hall, G Mann Human language technologies: The 2010 annual conference of the North …, 2010	264	2010
Identifying gene and protein mentions in text using conditional random fields R McDonald, F Pereira BMC bioinformatics 6 (S1), S6, 2005	259	2005
Efficient large-scale distributed training of conditional maximum entropy models R Mcdonald, M Mohri, N Silberman, D Walker, GS Mann Advances in neural information processing systems, 1231-1239, 2009	248	2009

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