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 & Head of NLP department, VinAI Research, VietnamVerified email at vinai.io
Thomas L. GriffithsProfessor of Psychology and Computer Science, Princeton UniversityVerified email at princeton.edu
David McCloskyGoogleVerified email at cs.stanford.edu
Mark DrasAssociate Professor of Computing, Macquarie UniversityVerified email at mq.edu.au
Du LanSenior lecturer, Faculty of IT, Monash UniversityVerified email at monash.edu
Stefan RiezlerProfessor for Statistical Natural Language Processing, Heidelberg UniversityVerified email at cl.uni-heidelberg.de
Benjamin BörschingerGoogleVerified email at google.com
Damien TeneyIdiap Research InstituteVerified email at idiap.ch
Massimiliano CiaramitaGoogleVerified email at google.com
Matt LeaseAssociate Professor, School of Information, University of Texas at AustinVerified email at utexas.edu
Xiaodong He (何晓冬)AI Lab, JD.COM (京东AI研究院); IEEE/CAAI FellowVerified email at ieee.org
Lei ZhangInternational Digital Economy Academy (IDEA)Verified email at idea.edu.cn
Kristina ToutanovaGoogle ResearchVerified email at google.com
Basura FernandoScientist at A*STAR SingaporeVerified email at ihpc.a-star.edu.sg
Kairit SirtsUniversity of TartuVerified email at ut.ee
Mark SteedmanProfessor of Cognitive Science, School of Informatics, University of EdinburghVerified email at inf.ed.ac.uk

Mark Johnson

Professor of Language Sciences, School 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	2929	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	1360	2005
Spice: Semantic propositional image caption evaluation P Anderson, B Fernando, M Johnson, S Gould European conference on computer vision, 382-398, 2016	1040	2016
Effective self-training for parsing D McClosky, E Charniak, M Johnson Proceedings of the main conference on human language technology conference …, 2006	660	2006
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	634	2018
Learning OT constraint rankings using a maximum entropy model S Goldwater, M Johnson, J Spenader, A Eriksson, Ö Dahl Proceedings of the Stockholm workshop on variation within Optimality Theory …, 2003	534	2003
A Bayesian framework for word segmentation: Exploring the effects of context S Goldwater, TL Griffiths, M Johnson Cognition 112 (1), 21-54, 2009	504	2009
PCFG models of linguistic tree representations M Johnson Computational Linguistics 24 (4), 613-632, 1998	480	1998
Attribute-value logic and the theory of grammar M Johnson Center for the Study of Language and Information, 1988	392	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	361	2002
Adaptor grammars: A framework for specifying compositional nonparametric Bayesian models M Johnson, T Griffiths, S Goldwater Advances in neural information processing systems 19, 2006	317	2006
Reranking and self-training for parser adaptation D McClosky, E Charniak, M Johnson Proceedings of the 21st International Conference on Computational …, 2006	307	2006
Interpolating between types and tokens by estimating power-law generators S Goldwater, M Johnson, T Griffiths Advances in neural information processing systems 18, 2005	266	2005
Estimators for Stochastic``Unification-Based''Grammars M Johnson, S Geman, S Canon, Z Chi, S Riezler arXiv preprint cs/0008028, 2000	260	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	260	1999
Memory requirements and local ambiguities of parsing strategies SP Abney, M Johnson Journal of Psycholinguistic Research 20 (3), 233-250, 1991	246	1991
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	244	2007
Contextual dependencies in unsupervised word segmentation S Goldwater, TL Griffiths, M Johnson Proceedings of the 21st International Conference on Computational …, 2006	243	2006
Improving topic models with latent feature word representations DQ Nguyen, R Billingsley, L Du, M Johnson Transactions of the Association for Computational Linguistics 3, 299-313, 2015	239	2015
Semi-supervised part-of-speech tagging KN Toutanova, ME Johnson US Patent 8,275,607, 2012	229	2012

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