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 NguyenVinAI ResearchVerified email at vinai.io
Long DuongOracle CorpVerified email at oracle.com
Thomas L. GriffithsProfessor of Psychology and Computer Science, Princeton UniversityVerified email at princeton.edu
David McCloskyGoogleVerified email at cs.stanford.edu
Damien TeneyIdiap Research InstituteVerified email at idiap.ch
Mark DrasAssociate Professor of Computing, Macquarie UniversityVerified email at mq.edu.au
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
Lan Du, SMIEEEFaculty of IT, Monash UniversityVerified email at monash.edu
Benjamin BörschingerGoogleVerified email at google.com
Thanh VuOracle CorporationVerified email at oracle.com
Stefan RiezlerProfessor for Statistical Natural Language Processing, Heidelberg UniversityVerified email at cl.uni-heidelberg.de
Massimiliano CiaramitaGoogleVerified email at google.com
Matt LeaseProfessor, School of Information, University of Texas at Austin, and Amazon ScholarVerified email at utexas.edu
Mark SteedmanProfessor of Cognitive Science, School of Informatics, University of EdinburghVerified email at inf.ed.ac.uk
Basura FernandoScientist at A*STAR SingaporeVerified email at ihpc.a-star.edu.sg

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	4115	2018
Spice: Semantic propositional image caption evaluation P Anderson, B Fernando, M Johnson, S Gould Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016	1500	2016
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	1384	2005
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	944	2018
Effective self-training for parsing D McClosky, E Charniak, M Johnson Proceedings of the Human Language Technology Conference of the NAACL, Main …, 2006	729	2006
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	567	2003
A Bayesian framework for word segmentation: Exploring the effects of context S Goldwater, TL Griffiths, M Johnson Cognition 112 (1), 21-54, 2009	537	2009
PCFG models of linguistic tree representations M Johnson Computational Linguistics 24 (4), 613-632, 1998	481	1998
Attribute-value logic and the theory of grammar M Johnson Center for the Study of Language and Information, 1988	389	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	360	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	331	2006
Reranking and self-training for parser adaptation D McClosky, E Charniak, M Johnson Proceedings of the 21st International Conference on Computational …, 2006	325	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	278	2015
Interpolating between types and tokens by estimating power-law generators S Goldwater, M Johnson, T Griffiths Advances in neural information processing systems 18, 2005	274	2005
Estimators for Stochastic``Unification-Based''Grammars M Johnson, S Geman, S Canon, Z Chi, S Riezler arXiv preprint cs/0008028, 2000	260	2000
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	254	2007
Contextual dependencies in unsupervised word segmentation S Goldwater, TL Griffiths, M Johnson Proceedings of the 21st International Conference on Computational …, 2006	251	2006
Semi-supervised part-of-speech tagging KN Toutanova, ME Johnson US Patent 8,275,607, 2012	249	2012
Memory requirements and local ambiguities of parsing strategies SP Abney, M Johnson Journal of Psycholinguistic Research 20, 233-250, 1991	247	1991
Why doesn’t EM find good HMM POS-taggers? M Johnson Proceedings of the 2007 Joint Conference on Empirical Methods in Natural …, 2007	228	2007

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