Ryan McDonald

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Joakim NivreProfessor of Computational Linguistics, Uppsala University; Senior Researcher, RISEVerified email at lingfil.uu.se
Fernando PereiraVP, GoogleVerified email at google.com
Slav PetrovDistinguished Scientist / Senior Research Director at GoogleVerified email at petrovi.de
Keith HallSizzle AIVerified email at szl.ai
Tyler NeylonUnbox ResearchVerified email at unboxresearch.com
Oscar TäckströmInceptiveVerified email at inceptive.team
Kübler, SandraIndiana UniversityVerified email at indiana.edu
Joshua MaynezGoogleVerified email at google.com
Dipanjan DasSenior Director of Research, Google DeepmindVerified email at google.com
Koby CrammerProfessor of Electrical Engineering, Technion - Israel Institute of TechnologyVerified email at ee.technion.ac.il
Shashi NarayanGoogleVerified email at google.com
Bernd BohnetResearch Scientist, GoogleVerified email at google.com
Peter WhiteChair and Riveschl Professor, Department of Biomedical Informatics, University of Cincinnati and Cincinnati Children's Hospital Medical CenterVerified email at cchmc.org
Yoav GoldbergProfessor, Bar Ilan University. Research Director, AI2-IsraelVerified email at cs.biu.ac.il
Jan HajicProfessor of Computational Linguistics, Charles University, Prague, Czech RepublicVerified email at ufal.mff.cuni.cz
Hao ZhangGoogleVerified email at google.com
Ion AndroutsopoulosProfessor, Department of Informatics, Athens University of Economics and BusinessVerified email at aueb.gr
Ivan TitovUniversity of Edinburgh / University of AmsterdamVerified email at inf.ed.ac.uk
Ji MaGoogleVerified email at google.com
Daniel ZemanInstitute of Formal and Applied Linguistics, Faculty of Mathematics and Physics, Charles UniversityVerified email at ufal.mff.cuni.cz

Ryan McDonald

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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	1899	2006
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	1525	2016
A universal part-of-speech tagset S Petrov, D Das, R McDonald arXiv preprint arXiv:1104.2086, 2011	1261	2011
Non-projective dependency parsing using spanning tree algorithms R McDonald, F Pereira, K Ribarov, J Hajic Proceedings of human language technology conference and conference on …, 2005	1170	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	1028	2008
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	1018	2005
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 2007 Joint Conference on Empirical Methods in Natural …, 2007	865	2007
A joint model of text and aspect ratings for sentiment summarization I Titov, R McDonald proceedings of ACL-08: HLT, 308-316, 2008	860	2008
Dependency parsing S Kübler, R McDonald, J Nivre Dependency parsing, 11-20, 2009	768	2009
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	678	2013
On faithfulness and factuality in abstractive summarization J Maynez, S Narayan, B Bohnet, R McDonald arXiv preprint arXiv:2005.00661, 2020	656	2020
Online learning of approximate dependency parsing algorithms R McDonald, F Pereira 11th Conference of the European Chapter of the Association for Computational …, 2006	624	2006
Building a sentiment summarizer for local service reviews S Blair-Goldensohn, K Hannan, R McDonald, T Neylon, G Reis, J Reynar	604	2008
A study of global inference algorithms in multi-document summarization R McDonald European Conference on Information Retrieval, 557-564, 2007	463	2007
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	433	2007
Characterizing the errors of data-driven dependency parsers R McDonald, J Nivre	390	2007
Distributed training strategies for the structured perceptron R McDonald, K Hall, G Mann Human language technologies: The 2010 annual conference of the North …, 2010	363	2010
Multi-source transfer of delexicalized dependency parsers R McDonald, S Petrov, K Hall Proceedings of the 2011 conference on empirical methods in natural language …, 2011	353	2011
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	346	2006
Efficient large-scale distributed training of conditional maximum entropy models R Mcdonald, M Mohri, N Silberman, D Walker, G Mann Advances in neural information processing systems 22, 2009	336	2009

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