Ryan McDonald
Ryan McDonald
Research Scientist, Google
Verified email at google.com - Homepage
Cited by
Cited by
Domain adaptation with structural correspondence learning
J Blitzer, R McDonald, F Pereira
Proceedings of the 2006 conference on empirical methods in natural language …, 2006
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
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
A universal part-of-speech tagset
S Petrov, D Das, R McDonald
arXiv preprint arXiv:1104.2086, 2011
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
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
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
A joint model of text and aspect ratings for sentiment summarization
I Titov, R McDonald
proceedings of ACL-08: HLT, 308-316, 2008
Online learning of approximate dependency parsing algorithms
R McDonald, F Pereira
Proceedings of EACL 6, 81-88, 2006
Dependency parsing
S Kübler, R McDonald, J Nivre
Synthesis lectures on human language technologies 1 (1), 1-127, 2009
Building a sentiment summarizer for local service reviews
S Blair-Goldensohn, K Hannan, R McDonald, T Neylon, G Reis, J Reynar
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
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
A study of global inference algorithms in multi-document summarization
R McDonald
European Conference on Information Retrieval, 557-564, 2007
Characterizing the errors of data-driven dependency parsers
R McDonald, J Nivre
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
Integrating graph-based and transition-based dependency parsers
J Nivre, R McDonald
Proceedings of ACL-08: HLT, 950-958, 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
Identifying gene and protein mentions in text using conditional random fields
R McDonald, F Pereira
BMC bioinformatics 6 (S1), S6, 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
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