Mark Johnson

Cited by

	All	Since 2016
Citations	16456	6796
h-index	63	35
i10-index	164	98

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Co-authors

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
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
Thomas L. GriffithsProfessor of Psychology and Computer Science, Princeton UniversityVerified email at princeton.edu
David McCloskyGoogleVerified email at cs.stanford.edu
Benjamin BörschingerGoogleVerified email at google.com
Du LanSenior lecturer, Faculty of IT, Monash UniversityVerified email at monash.edu
Stefan RiezlerProfessor of Linguistic Informatics, Heidelberg UniversityVerified email at cl.uni-heidelberg.de
Mark DrasAssociate Professor of Computing, Macquarie UniversityVerified email at mq.edu.au
Massimiliano CiaramitaGoogleVerified email at google.com
Damien TeneyUniversity of Adelaide, Australian Institute for Machine Learning (AIML)Verified email at adelaide.edu.au
Matt LeaseAssociate Professor, School of Information, University of Texas at AustinVerified email at utexas.edu
Brian RoarkGoogleVerified email at google.com
Kristina ToutanovaGoogle ResearchVerified email at google.com
Kairit SirtsUniversity of TartuVerified email at ut.ee
Xiaodong He (何晓冬)AI Lab, JD.COM (京东AI研究院); IEEE/CAAI FellowVerified email at ieee.org
Lei ZhangMicrosoft Cloud & AI, Computer Vision Research GroupVerified email at microsoft.com
Basura FernandoScientist at A*STAR SingaporeVerified email at ihpc.a-star.edu.sg

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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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	1581	2018
Coarse-to-fine n-best parsing and maxent discriminative reranking E Charniak, M Johnson Proceedings of the 43rd Annual Meeting of the Association for Computational …, 2005	1310	2005
Spice: Semantic propositional image caption evaluation P Anderson, B Fernando, M Johnson, S Gould European conference on computer vision, 382-398, 2016	572	2016
Effective self-training for parsing D McClosky, E Charniak, M Johnson Proceedings of the Human Language Technology Conference of the NAACL, Main …, 2006	571	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	470	2003
PCFG models of linguistic tree representations M Johnson Computational Linguistics 24 (4), 613-632, 1998	460	1998
A Bayesian framework for word segmentation: Exploring the effects of context S Goldwater, TL Griffiths, M Johnson Cognition 112 (1), 21-54, 2009	457	2009
Attribute-value logic and the theory of grammar M Johnson Center for the Study of Language and Information, 1988	371	1988
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	352	2018
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 of the Association for Computational …, 2002	346	2002
Reranking and self-training for parser adaptation D McClosky, E Charniak, M Johnson Proceedings of the 21st International Conference on Computational …, 2006	283	2006
Adaptor grammars: A framework for specifying compositional nonparametric Bayesian models M Johnson, TL Griffiths, S Goldwater Advances in neural information processing systems 19, 641, 2007	275	2007
Estimators for Stochastic``Unification-Based''Grammars M Johnson, S Geman, S Canon, Z Chi, S Riezler arXiv preprint cs/0008028, 2000	255	2000
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	249	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	229	2007
Contextual dependencies in unsupervised word segmentation S Goldwater, TL Griffiths, M Johnson Proceedings of the 21st International Conference on Computational …, 2006	229	2006
Why doesn’t EM find good HMM POS-taggers? M Johnson Proceedings of the 2007 Joint Conference on Empirical Methods in Natural …, 2007	215	2007
Memory requirements and local ambiguities of parsing strategies SP Abney, M Johnson Journal of Psycholinguistic Research 20 (3), 233-250, 1991	208	1991
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	199	1999
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 of the Association for Computational …, 2004	189	2004

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