Mark Johnson - Google Scholar Citations

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	All	Since 2015
Citations	14062	5463
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Eugene CharniakProfessor of Computer Science, Brown UniversityVerified email at brown.edu
Sharon GoldwaterSchool of Informatics, University of EdinburghVerified email at inf.ed.ac.uk
Peter AndersonResearch Scientist, GoogleVerified email at google.com
Thomas L. GriffithsProfessor of Psychology and Computer Science, Princeton UniversityVerified email at princeton.edu
David McCloskyGoogleVerified email at cs.stanford.edu
Stephen GouldAustralian National UniversityVerified email at anu.edu.au
Dat Quoc NguyenSenior research scientist, VinAI Research, Vietnam; Honorary fellow, The University of MelbourneVerified email at unimelb.edu.au
Benjamin BörschingerGoogleVerified email at google.com
Stefan RiezlerProfessor of Linguistic Informatics, Heidelberg UniversityVerified email at cl.uni-heidelberg.de
Du LanFaculty of Information Technology, Monash University, ClaytonVerified email at monash.edu
Massimiliano CiaramitaGoogleVerified email at google.com
Mark DrasAssociate Professor of Computing, Macquarie UniversityVerified email at mq.edu.au
Matt LeaseAssociate Professor, School of Information, University of Texas at AustinVerified email at utexas.edu
Brian RoarkGoogleVerified email at google.com
Damien TeneyUniversity of Adelaide, Australian Institute for Machine Learning (AIML)Verified email at adelaide.edu.au
Kristina ToutanovaGoogle ResearchVerified email at google.com
Kairit SirtsUniversity of TartuVerified email at ut.ee
Dick CrouchNuance CommunicationsVerified email at nuance.com
Keith HallGoogle ResearchVerified email at google.com
Emmanuel DupouxProfessor of Cognitive Psychology, Ecole des Hautes Etudes en Sciences Sociales, ParisVerified email at ehess.fr

Mark Johnson

Professor of Language Sciences, Department of Computing, Macquarie University

Verified email at MQ.edu.au - Homepage

Computational Linguistics Natural Language Processing Statistical Models Machine Learning


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Coarse-to-fine n-best parsing and MaxEnt discriminative reranking E Charniak, M Johnson Proceedings of the 43rd annual meeting on association for computational …, 2005	1223	2005
Bottom-up and top-down attention for image captioning and visual question answering P Anderson, X He, C Buehler, D Teney, M Johnson, S Gould, L Zhang Proceedings of the IEEE conference on computer vision and pattern …, 2018	857	2018
Effective self-training for parsing D McClosky, E Charniak, M Johnson Proceedings of the main conference on human language technology conference …, 2006	485	2006
Learning OT constraint rankings using a maximum entropy model S Goldwater, M Johnson Proceedings of the Stockholm workshop on variation within Optimality Theory …, 2003	437	2003
PCFG models of linguistic tree representations M Johnson Computational Linguistics 24 (4), 613-632, 1998	434	1998
A Bayesian framework for word segmentation: Exploring the effects of context S Goldwater, TL Griffiths, M Johnson Cognition 112 (1), 21-54, 2009	417	2009
Attribute-value logic and the theory of grammar M Johnson Center for the Study of Language and Information, 1988	359	1988
Spice: Semantic propositional image caption evaluation P Anderson, B Fernando, M Johnson, S Gould European Conference on Computer Vision, 382-398, 2016	346	2016
Parsing the Wall Street Journal using a Lexical-Functional Grammar and discriminative estimation techniques S Riezler, TH King, RM Kaplan, R Crouch, JT Maxwell III, M Johnson Proceedings of the 40th Annual Meeting on Association for Computational …, 2002	328	2002
Reranking and self-training for parser adaptation D McClosky, E Charniak, M Johnson Proceedings of the 21st International Conference on Computational …, 2006	267	2006
Adaptor grammars: A framework for specifying compositional nonparametric Bayesian models M Johnson, TL Griffiths, S Goldwater Advances in neural information processing systems, 641-648, 2007	258	2007
Estimators for stochastic unification-based grammars M Johnson, S Geman, S Canon, Z Chi, S Riezler Proceedings of the 37th annual meeting of the Association for Computational …, 1999	247	1999
Interpolating between types and tokens by estimating power-law generators S Goldwater, M Johnson, TL Griffiths Advances in neural information processing systems, 459-466, 2006	234	2006
Contextual dependencies in unsupervised word segmentation S Goldwater, TL Griffiths, M Johnson Proceedings of the 21st International Conference on Computational …, 2006	212	2006
Bayesian inference for pcfgs via markov chain monte carlo M Johnson, TL Griffiths, S Goldwater Human Language Technologies 2007: The Conference of the North American …, 2007	206	2007
Memory requirements and local ambiguities of parsing strategies SP Abney, M Johnson Journal of Psycholinguistic Research 20 (3), 233-250, 1991	202	1991
Why doesn’t EM find good HMM POS-taggers? M Johnson Proceedings of the 2007 Joint Conference on Empirical Methods in Natural …, 2007	192	2007
Semantics and syntax in Lexical Functional Grammar: The resource logic approach A Kehler, RT Oehrle, M Johnson, J Lamping, FCN Pereira, V Saraswat, ... MIT Press, 1999	191	1999
Vision-and-language navigation: Interpreting visually-grounded navigation instructions in real environments P Anderson, Q Wu, D Teney, J Bruce, M Johnson, N Sünderhauf, I Reid, ... Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018	184	2018
Discriminative language modeling with conditional random fields and the perceptron algorithm B Roark, M Saraclar, M Collins, M Johnson Proceedings of the 42nd Annual Meeting on Association for Computational …, 2004	180	2004

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