Mark Johnson

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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
Stephen GouldProfessor at Australian National University | Scholar at AmazonVerified 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
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
Du LanSenior lecturer, Faculty of IT, Monash UniversityVerified email at monash.edu
Benjamin BörschingerGoogleVerified email at google.com
Massimiliano CiaramitaGoogleVerified email at google.com
Damien TeneyIdiap Research InstituteVerified email at idiap.ch
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
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
Kairit SirtsUniversity of TartuVerified email at ut.ee
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


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
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	2021	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	1335	2005
Spice: Semantic propositional image caption evaluation P Anderson, B Fernando, M Johnson, S Gould European conference on computer vision, 382-398, 2016	717	2016
Effective self-training for parsing D McClosky, E Charniak, M Johnson Proceedings of the Human Language Technology Conference of the NAACL, Main …, 2006	610	2006
Learning OT constraint rankings using a maximum entropy model S Goldwater, M Johnson, J Spenader, A Eriksson, Ö Dahl Proceedings of the Workshop on Variation within Optimality Theory. pp 111, 120, 2003	498	2003
A Bayesian framework for word segmentation: Exploring the effects of context S Goldwater, TL Griffiths, M Johnson Cognition 112 (1), 21-54, 2009	478	2009
PCFG models of linguistic tree representations M Johnson Computational Linguistics 24 (4), 613-632, 1998	474	1998
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	443	2018
Attribute-value logic and the theory of grammar M Johnson Center for the Study of Language and Information, 1988	382	1988
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	353	2002
Reranking and self-training for parser adaptation D McClosky, E Charniak, M Johnson Proceedings of the 21st International Conference on Computational …, 2006	294	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	289	2007
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	261	2006
Estimators for Stochastic``Unification-Based''Grammars M Johnson, S Geman, S Canon, Z Chi, S Riezler arXiv preprint cs/0008028, 2000	259	2000
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	255	1999
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	241	2007
Contextual dependencies in unsupervised word segmentation S Goldwater, TL Griffiths, M Johnson Proceedings of the 21st International Conference on Computational …, 2006	236	2006
Memory requirements and local ambiguities of parsing strategies SP Abney, M Johnson Journal of Psycholinguistic Research 20 (3), 233-250, 1991	228	1991
Why doesn’t EM find good HMM POS-taggers? M Johnson Proceedings of the 2007 Joint Conference on Empirical Methods in Natural …, 2007	221	2007
Semi-supervised part-of-speech tagging KN Toutanova, ME Johnson US Patent 8,275,607, 2012	202	2012

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